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National Power System
Expansion Plan
2011 - 2030
Final Report
Main Report
504760-01-MR
2011
This document contains the expression of the professional opinion of SNC-Lavalin Inc. (“SLI”) as to the matters set out herein, using its professional judgment and reasonable care. It is to be read in the context of the agreement dated October 4, 2010 (the “Agreement”) between SLI and National Thermal Despatch Company (the “Client”), and the methodology, procedures and techniques used, SLI’s assumptions, and the circumstances and constraints under which its mandate was performed. This document is written solely for the purpose stated in the Agreement, and for the sole and exclusive benefit of the Client, whose remedies are limited to those set out in the Agreement. This document is meant to be read as a whole, and sections or parts thereof should thus not be read or relied upon out of context.
Unless expressly stated otherwise, assumptions, data and information supplied by, or gathered from other sources (including the Client, other consultants, testing laboratories and equipment suppliers, etc.) upon which SLI’s opinion as set out herein is based has not been verified by SLI; SLI makes no representation as to its accuracy and disclaims all liability with respect thereto.
504760 © 2011 SNC-Lavalin Inc.All rights reserved T&D Division
Confidential
LIST OF ABBREVIATIONS AND DEFINITIONS Abbreviations:
ADB Asian Development Bank
AEDB Alternative Energy Development Board cct-km Circuit-kilometre
Consultant SNC-Lavalin, Transmission and Distribution Group
DISCO | Distribution Company |
DSM | Demand Side Management |
GDP | Gross Domestic Product |
GENCO | Generation Company |
HPP | Hydel (or Hydro) Power Project |
HSFO | High-Sulphur Furnace Oil |
HVAC | High Voltage Alternating Current |
HVDC | High Voltage Direct Current |
IEEE | Institute of Electrical and Electronic Engineers |
kA | Kilo-ampere |
KESC | Karachi Electric Supply Company |
km | Kilometre |
KPT | Karachi Port Trust |
kV | Kilovolt |
MMcfd | Million cubic feet per day |
MOU | Memorandum of Understanding |
MT | Metric Tonnes |
MTOE | Million Tons of Oil Equivalent |
MVA | Mega volt-amperes |
MWh | Megawatt-hour or 1,000 kilowatt-hours |
NEPRA | National Electric Power Regulatory Authority |
NESPAK | National Engineering Services Pakistan (Pvt) Limited |
NPP | National Power Plan, prepared by Acres International Limited in 1994 |
NTDC | National Transmission and Despatch Company |
OGDCL | Oil and Gas Development Company Limited |
P.P. | Power Project |
PAEC | Pakistan Atomic Energy Commission |
PARCO | Pak-Arab Refining Company |
PEPCO | Pakistan Electric Power Company |
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PPIB | Private Power and Infrastructure Board |
PPL | Pakistan Petroleum Limited |
PQA | Port Qasim Authority |
PSO | Pakistan State Oil |
PSS/E | Power System Simulation |
RFO | Residual Furnace Oil |
SIL | Surge Impedance Load |
SNGPL | Sui Northern Gas Pipeline Limited |
SSGCL | Sui Southern Gas Company Limited |
SYPCO | Generation planning software (System Production Costing) |
TAVANIR | The Iranian Electric Utility |
WAPDA | Water and Power Development Authority |
ii
TABLE OF CONTENTS
1INTRODUCTION ...................................................................................................1-1
1.1 Objective of the National Power Systems Expansion Plan .................................1-1
1.2 Scope of Work ............................................................................................................1-2
1.3 Structure of the report ................................................................................................1-2
2 POWER SECTOR ENVIRONMENT IN PAKISTAN .....................................................2-1
2.1 Economy and the Energy Sector ................................................................................2-1
2.2 Characteristics of the Energy Sector in Pakistan ........................................................2-1
2.3 The Current Power System ........................................................................................2-2
3 SYSTEM PLANNING CRITERIA ..............................................................................3-1
3.1 Introduction ................................................................................................................3-1
3.2 Economic and Financial Parameters ..........................................................................3-1
3.3 Generation Planning Criteria ......................................................................................3-2
3.4 Environmental Criteria ................................................................................................3-3
3.4.1Thermal Generation Projects ...................................................................................3-3
3.4.2Hydroelectric Generation Projects ...........................................................................3-4
3.4.3Transmission Projects ..............................................................................................3-5
3.5 Transmission Planning Criteria ...................................................................................3-6
3.5.1Contingency Conditions ...........................................................................................3-6
3.5.2Component Loading .................................................................................................3-6
3.5.3Voltage .....................................................................................................................3-7
3.6 Distribution Planning Criteria ......................................................................................3-7
3.6.1System Voltage Criteria ...........................................................................................3-7
3.6.2Equipment Thermal Loading Criteria ........................................................................3-8
3.7 Financial Planning Criteria ..........................................................................................3-8
4 POWER DEMAND..................................................................................................4-1
4.1 Introduction ................................................................................................................4-1
4.2 Issues related to the load forecast ..............................................................................4-1
4.2.1Load Shedding .........................................................................................................4-1
4.2.2Transmission and Distribution Losses ......................................................................4-2
4.2.3System Load Factor .................................................................................................4-4
4.2.4Load Characteristics ................................................................................................4-6
4.2.5Demand Side Management ......................................................................................4-7
4.3 Approach and Methodology ........................................................................................4-7
4.3.1General ....................................................................................................................4-7
4.3.2Medium-Term Forecast ............................................................................................4-8
4.3.3Long Term Forecast .................................................................................................4-9
4.4 Key Independent Variables ......................................................................................4 -10
4.4.1Projections of Independent Variables .....................................................................4 -11
4.5 Load Forecasts ........................................................................................................ 4-13
4.5.1Sales Forecasts .................................................................................................... 4-13
4.5.2Generation Forecast .............................................................................................. 4-15
4.5.3Forecast with DSM ................................................................................................. 4-16
4.5.4Summary of Forecasts ...........................................................................................4 -19
5 FUEL SUPPLY, PORT HANDLING AND FUEL PRICING ............................................5-1
5.1 Introduction ................................................................................................................5-1
5.2 Fuel Supply ................................................................................................................5-1
5.2.1Natural Gas ..............................................................................................................5-1
5.2.2Fuel Oil ....................................................................................................................5-5
5.2.3Coal .........................................................................................................................5-6
5.3 Capacity of Ports and Fuel Logistics ...........................................................................5-7
5.4 Pricing of Fuels ..........................................................................................................5-9
6 GENERATION PLANNING .......................................................................................6-1
6.1 Introduction ................................................................................................................6-1
6.2 Strategic Considerations ............................................................................................6-1
6.3 Approach and Methodology ........................................................................................6-3
6.4 Planning Basis ...........................................................................................................6-3
6.5 Existing and Committed Units.....................................................................................6-7
6.5.1Existing Hydro Plants ...............................................................................................6-8
6.6 Existing Thermal Plants ..............................................................................................6-8
6.7 New Generation Options .......................................................................................... 6-15
6.7.1Hydro Projects and Screening ................................................................................6 -15
6.7.2New Thermal Options ............................................................................................ 6-32
6.7.3Other Generation Options ...................................................................................... 6-40
6.8 Generation Expansion Plans .................................................................................... 6-43
6.8.1Short-Term Plans ................................................................................................... 6-43
6.8.2Development of the Base Case ..............................................................................6 -44
6.8.3Alternative Development Scenarios ....................................................................... 6-54
6.9 Summary of Reliability Levels and System Expansion Costs....................................6 -57
6.10Sensitivity Tests ....................................................................................................... 6-60
6.11Summary, Conclusions and Recommendations .......................................................6 -63
7 TRANSMISSION PLANNING ....................................................................................7-1
7.1 Introduction ................................................................................................................7-1
7.2Planning and Performance Criteria .............................................................................7-1
7.3Typical Characteristics of NTDC Longitudinal Network ...............................................7-2
7.4 Approach and Methodology ........................................................................................7-4
7.4.1Inputs .......................................................................................................................7-4
7.4.2Development of Study Cases ...................................................................................7-5
7.5 Transmission Expansion upto 2016-17 .......................................................................7-7
7.6 Transmission Expansion from 2017-2020 ..................................................................7-9
7.7 Transmission Expansion from 2021-2030 ................................................................7 -12
7.8 Short Circuit Analysis ...............................................................................................7 -17
7.9Stability Studies ........................................................................................................7 -17
7.10Recommendations .................................................................................................. 7-18
7.11Cost Estimate of Transmission Expansion................................................................ 7-20
7.11.1Total requirement (BOQs) between 2017 and 2030 ...............................................7 -20
7.11.2Total Cost .............................................................................................................. 7-21
7.12Transmission Network in 2030 .................................................................................7 -21
8 EXPANSION PLAN FOR DISCO TRANSMISSION .....................................................8-1
8.1 Objectives ..................................................................................................................8-1
8.2Study Cases ...............................................................................................................8-2
8.3Input Data...................................................................................................................8-2
8.4Load Forecast ............................................................................................................8-2
8.5Secondary Transmission Planning Criteria .................................................................8-4
8.6 Methodology ...............................................................................................................8-5
8.7 Study Results .............................................................................................................8-6
8.7.1Load Flow Study Results..........................................................................................8-6
8.7.2Short Circuit Study for Year-2020 Base Case ..........................................................8-7
8.8 Cost Estimate .............................................................................................................8-7
8.8.1Unit Cost ..................................................................................................................8-7
8.8.2Cost of Reinforcements ............................................................................................8-8
8.9 Recommendations ................................................................................................... 8-10
9 FINANCIAL PLAN .................................................................................................9-1
9.1Introduction ................................................................................................................9-1
9.2 Overview of the Financial Performance of the Pakistan Power Sector in 2010 ...........9-1
9.5.1 Cost of Generation ...................................................................................................9-2
9.2.2Cost of Transmission ...............................................................................................9-2
9.2.3 Cost of DISCOs .......................................................................................................9-2
9.2.4 Summary of PEPCO Costs ......................................................................................9-3
9.2.5 Financial Performance of KESC ...............................................................................9-3
9.3Methodology for Developing Financial Plan ................................................................9-4
9.4Data Input and Assumptions for Developing Financial Plan .......................................9-6
9.6 Cost Estimates for the Generation, Transmission and Distribution Plans ...................9-8
9.6.1 Investment and Operational Cost Estimates for the Generation Plan .......................9-8
9.6.2 Cost Estimates of the Transmission Plan .................................................................9-8
9.6.3 Cost Estimates for the Distribution System ..............................................................9-9
9.7 Financial Projections and Results ...............................................................................9-9
9.7.1 Investments and Operating Costs of the Generation and Transmission Plans ....... 9-10
9.6.2Annual Investment for Generation and Transmission Plans ................................... 9-11
9.6.3Estimation of Unit Generation Cost from Hydro and Thermal Generation. .............. 9-14
9.6.4Estimation of Unit Transmission Cost .................................................................... 9-16
9.6.5Unit Cost of Power to the DISCOs and to KESC ...................................................9 -16
9.8 Supply Cost of Power and Impact on the Customer Tariffs ....................................... 9-17
9.9 Analyses of Results and Concluding Remarks .........................................................9 -19
LIST OF TABLES
Table 1-1 | Load Shedding Levels ..................................................................................... 1-1 |
Table 3-1 | Key Financial Criteria....................................................................................... 3-9 |
Table 4-1 | History of Planned Load Shedding................................................................... 4-2 |
Table 4-2 | Historical Energy Generation, Sale and Losses – PEPCO ............................... 4-3 |
Table 4-3 | Historical Energy Generation, Sale and Losses - KESC .................................. 4-4 |
Table 4-4 | PEPCO Load Factor (Historical) ...................................................................... 4-5 |
Table 4-5 | KESC Load Factor (Historical) ......................................................................... 4-5 |
Table 4-6 | Electricity Consumption Pattern ....................................................................... 4-6 |
Table 4-7 | GDP Projections ............................................................................................ 4-11 |
Table 4-8Projected Real GDP Growth Rates – Normal Case ....................................... 4-12
Table 4-9Category-wise Sales (GWh) Forecast ............................................................ 4-14
Table 4-10Consumption Patterns ................................................................................. 4-15
Table 4-11Load Forecast – Normal .............................................................................. 4-17
Table 4-12Load Forecast with Demand Side Management .......................................... 4-18
Table 4-13Summary of Forecasts for Selected Years for Country ................................ 4-19
Table 4-14Summary of Forecasts ................................................................................. 4-20
Table 5-1 | Current Fuel Prices ........................................................................................ 5-10 |
Table 5-2 | Fuel Transportation Costs ............................................................................. 5-10 |
Table 5-3 | Fuel Handling Costs at Port ........................................................................... 5-11 |
Table 5-4 | Long-Term Fuel Price Forecasts to the Year 2030 (Mixed Units) ................... 5-11 |
Table 5-5 | Long-Term Fuel Price Forecasts to the Year 2030 ($/MMBtu) ....................... 5-12 |
Table 6-1 | Planning Criteria .............................................................................................. 6-4 |
Table 6-2 | Summary of Fuel Price Forecast to 2030 ......................................................... 6-5 |
Table 6-3 | Breakeven Price for Tharparkar Coal ............................................................... 6-6 |
Table 6-4 | Summary of Existing Hydro Plants................................................................... 6-8 |
Table 6-5 | Summary of Existing Thermal Capacity ........................................................... 6-8 |
Table 6-6Existing Generation Capacity of PEPCO System ............................................. 6-9T
able 6-7Existing Units – KESC System ...................................................................... 6-11
Table 6-8Retirement Schedule of Existing Plants ......................................................... 6-12
Table 6-9Lead Time of Future Hydro Projects by Category .......................................... 6-18
Table 6-10Identified Future Hydro Projects .................................................................. 6-18
Table 6-11 | Summary of Environmental Costs................................................................ 6-21 |
Table 6-12 | Summary of Future Hydro Projects .............................................................. 6-25 |
Table 6-13 | Implementation of Hydro Plants ................................................................... 6-29 |
Table 6-14 | Summary of Candidate Thermal Units ......................................................... 6-37 |
Table 6-15 | Lead Times for Thermal Plants .................................................................... 6-38 |
Table 6-16 | Generation Additions for First Five Years .................................................... 6-43 |
Table 6-17 | Capacity Additions under Base Case ........................................................... 6-49 |
Table 6-18 | Generating Capacity Mix (%) – Base Case .................................................. 6-50 |
Table 6-19 | List of Future Projects under Base Case ...................................................... 6-50 |
Table 6-20 | Fuel Consumption for Base Case Expansion Plan ....................................... 6-54 |
Table 6-21 | Capacity Additions under the PEPCO List of Additions Case ....................... 6-55 |
Table 6-22 | Capacity Additions under Unconstrained Case ............................................ 6-57 |
Table 6-23 | Capacity Additions over 2011-12 to 2029-30 ............................................... 6-58 |
Table 6-24 | Fuel Consumption 2011-12 to 2029-30 ........................................................ 6-58 |
Table 6-25 | Reliability Levels .......................................................................................... 6-59 |
Table 6-26 | Generation Plan under High Load Forecast Scenario .................................. 6-62 |
Table 6-27 | Generation Plan under Low Load Forecast Scenario ................................... 6-63 |
Table 8-1 | Load forecast: Non-diversified DISCO Totals .................................................. 8-3 |
Table 8-2 | Load forecast: Diversified DISCO totals ........................................................... 8-4 |
Table 8-3 | Unit Cost for DISCO Systems Expansion ........................................................ 8-8 |
Table 8-4 | DISCOs Cost Estimate 2015-2020 in MPKR ................................................. 8-10 |
Table 8-5 | DISCOs Cost Estimate 2015-2020 in MUSD ................................................. 8-10 |
Table 9-1 | Generation, Transmission and Distribution Costs ............................................ 9-3 |
Table 9-2 | Key Financial Assumptions .............................................................................. 9-7 |
Table 9-3 | Investment, Fuel and O&M Costs of the Generation Plan (million USD) .......... 9-8 |
Table 9-4 | Cost of Transmission Upgrades ....................................................................... 9-9 |
Table 9-5 Generation and Transmission Costs (Million USD) (Capital and Operating |
| | |
Costs 2011-2030) ................................................................................................... 9-11
Table 9-6Annual Capital Investments and Financing Requirements (million USD) ....... 9-12
Table 9-7Total Debt and Equity Financing for Different Periods (billion USD) ............... 9-14
Table 9-8Cost of Power from Hydro Plants for Selected Years ..................................... 9-15
Table 9-9Cost of Power from Thermal Plants for Selected Years ................................. 9-15
Table 9-10Unit Supply Cost for Selling to Discos and KESC (¢/kWh) ........................... 9-17
Table 9-11Total Cost of Supply from the DISCOs and Comparison to the Existing Tariffs
Escalated at 2 % (¢/kWh) ........................................................................................ 9-18
Table 9-12Comparison of Unit Cost of Supply and End Tariffs ..................................... 9-18
| LIST OF FIGURES |
Figure 4-1 | Summary of Forecast Results (MW) – PEPCO and KESC ........................... 4-21 |
Figure 6-1 | Installed Capacity in 2010 .............................................................................. 6-7 |
Figure 6-2 | Location of Hydro Projects ........................................................................... 6-17 |
Figure 6-3 | Ranking of Hydro Projects ............................................................................ 6-27 |
Figure 6-4 | Screening Curves ......................................................................................... 6-39 |
Figure 6-5 | Base Case Generation Additions .................................................................. 6-53 |
Figure 7-1 | Existing/Committed/Planned 500/220 kV System ........................................... 7-3 |
Figure 9-1 | Graphical Illustration of the Methodology for Developing Financial Plan ......... 9-5 |
Figure 9-2 | Annual Investments in Generation and Transmission ................................... 9-13 |
Figure 9-3 | Annual Debt and Equity Financing................................................................ 9-13 |
1 INTRODUCTION
1.1 Objective of the National Power Systems Expansion Plan
As at 31 December 2010 the total installed capacity of Pakistan was around 21,420 MW. However rapid load growth and inadequate generation addition to the power pool created a gap between supply and demand resulting in significant load shedding.
Table 1-1 below shows the level of load shedding in recent years from no load-shedding in 1993 to almost 23% in 2010.
Table 1-1 Load Shedding Levels
Year | National Sales (GWh) | National Load Shedding (GWh) | Total National Demand (GWh) | Load Shedding % |
2003 | 52,661 | - | 52,661 | 0.0% |
2004 | 57,467 | 520 | 57,986 | 0.9% |
2005 | 61,247 | 265 | 61,512 | 0.4% |
2006 | 67,608 | 1,208 | 68,815 | 1.8% |
2007 | 71,947 | 2,040 | 73,982 | 2.8% |
2008 | 72,518 | 12,578 | 85,096 | 14.8% |
2009 | 69,668 | 18,222 | 87,890 | 20.7% |
2010 | 73,595 | 21,821 | 95,238 | 22.9% |
In order to address this gap the National Transmission and Despatch Company (NTDC) of Pakistan identified the need to develop a National Power System Expansion Plan (NPSEP). The objective is to provide a plan for the development of hydroelectric, thermal, thermal nuclear and renewable energy resources to meet the expected load up to the year 2030. Given the chronic and ever increasing power shortage, the need for an expansion plan was urgent and thus only six months were allotted to prepare this revised plan. This plan was prepared during the period from December 1, 2010 through May 31, 2011.
504760-01-MR 1-1 Main Report
1.2 Scope of Work
The scope of the NPSEP was to determine new generation facilities and transmission reinforcements required to meet future load growth using the latest available data. Based on a review of the load forecast (prepared by NTDC and reviewed by SNC-Lavalin), a least cost generation expansion plan was prepared taking into consideration government policies, environmental considerations and fuel constraints. An indicative transmission plan to evacuate power was developed using the generation expansion plan to 2030 and the network reinforcement requirements for the DISCOs in 2020. These generation and transmission plans were the key inputs in developing the financial plan and the annual revenue requirements to build and operate the system. The investments required by each DISCO to effectively reduce losses and optimize their systems were also calculated but they do not form a part of the overall investment requirements appearing in the NPSEP. They are provided as information to the DISCOs for their respective tariff preparation.
1.3 Structure of the report
The sections of the NPSEP report are as follows:
- Executive Summary
- Main Report (This Volume)
- Annexure 1: Fuel Supply, Port Handling and Fuel Pricing
- Annexure 2: Generation Plan
- Annexure 3: Transmission Plan
- Annexure 4: Distribution Plan
- Annexure 5: Financial Plan
504760-01-MR 1-2 Main Report
2 POWER SECTOR ENVIRONMENT IN PAKISTAN
2.1 Economy and the Energy Sector
Pakistan’s economy grew by 4.1% on an inflation adjusted basis in 2009-10 after a growth of 1.2% in 2008-09. On a per section basis the industrial output grew by 4.9%, the Services sector grew by 4.4% while the Agriculture sector grew by 2%. Foreign Direct Investment (FDI) declined by 0.6% after a 5.5% increase in 2008-09. With large part of the decline in FDI was attributed to the Energy Sector and to Large Scale Manufacturing. FDI accounts for about 20% of gross fixed investment in the country.
Electricity and Gas Distribution was 3.9% of GDP in 1999-2000, which declined to 2% in 2009-10. Over the last six years, the GDP has varied from a high of 9% in 2004-05 to a low of 1.2% in 2008-09. For the same period, growth in the Electricity and Gas Distribution component of GDP has varied from a low of 26.6% in 2005-06 to a high of 30.8 in 2008-09 to. According to the Economic Survey 2010, the energy crisis is estimated to have reduced the overall GDP growth by about 2 % in 2009-10.
The total energy consumption declined by 5.2% in 2009 with electricity consumption in the industrial sector falling by 6.5% in 2009, and that of natural gas in the industrial sector falling by 2.6%.
2.2 Characteristics of the Energy Sector in Pakistan
Pakistan’s energy supply includes natural gas, oil, coal and electriicy. The primary energy supplies by source in 2008-09 were:
Source | % |
Natural Gas | 48.3 |
Oil | 32.0 |
Hydro and Nuclear | 11.3 |
Coal | 7.6 |
LPG | 0.6 |
Source:Energy Yearbook 2009
The final energy consumption by source in 2008-09 was:
Source | % |
Natural Gas | 43.7 |
Oil | 29.0 |
Hydro and Nuclear | 15.3 |
Coal | 10.4 |
LPG | 1.5 |
Source:Energy Yearbook 2009
Pakistan has a good indigenous resource base of natural gas (28.3 TCF as of January 2010), hydroelectric potential and the huge reserves of coal at Tharparkar. Due to a variety of reasons, there has been a lack of progress in development of all these resources with a consequent increase in the use of imported oil at a huge import cost.
2.3 The Current Power System
Since independence, Pakistan’s power sector consisted of two vertically integrated utilities – WAPDA and Karachi Electricity Supply Company (KESC). The power sector has been restructured starting with the creation of Pakistan Electric Power Company (PEPCO) in 1998. Water and Power Development Authority (WAPDA) retained ownership of 14 hydro plants while WAPDA’s thermal plants have been distributed to three Generation Companies (GENCOs). National Transmiission and Despatch Company (NTDC) acts as the bulk supplier of electricity and is responsible for the entire transmission network. The electricity is transmitted to ten Distribution Companies (DISCOs) for onward distribution to end consumers. The existing arrangment is shown below:
GENCO-I: Jamshoro Thermal Power Station
Kotri Thermal Power Station
GENCO-II: Guddu Thermal Power Station
Quetta Thermal Power Station
GENCO-III: Muzaffargarh Power Station Faisalabad Thermal Power Station
Multan Thermal Power Station
Shahdara Power Plant
GENCO-IV: Lakhra Coal Power Plant
LESCO: Lahore Electric Supply Company
GEPCO: Gujranwala Electric Power Company
FESCO: Faisalabad Electric SupplyCompany IESCO: Islamabad Electric Supply Company
MEPCO: Multan Electric Power Company
PESCO: Peshawar Electric Supply Company
HESCO: Hyderabad Electric Supply Company
QESCO: Quetta Electric Supply Company
TESCO: Tribal Electric Supply Company
SEPCO: Sukkur Electric Power Company
Note: KESC is an integrated utility with generation, transmission and distribution. It purchases power from both NTDC and IPPs.
Pakistan’s power system is severely strained with widespread and unannounced loadshedding. In recent years, the lower availability of hydro resources and of gas for power has resulted in the increased use of imported and expensive oil, which has added to the financial strain of the sector. The gap between the cost of producing power and revenue derived from its sale has also widened. From 2003 to 2007, despite rising fuel costs GoP chose not to increase consumer tariffs. Compounding the problem is the cumulative effect of the inter – corporate circular debt in the energy supply chain.
In the late 1980s and early 1990s, Pakistan’s total installed capacity remained at about 9,400 MW. The installed capacity of the country in 2010 was 18,892 MW of which 30% was hydro. The total electricity generation in 2010 was 10,544 GWh, the breakdown by source was:
Source | % |
Oil | 30.50 |
Gas | 33.15 |
Hydro | 33.33 |
Nuclear | 2.85 |
Coal | 0.16 |
Source: Power System Statistics 2010 35thedition
The power sector is a major consumer of petroleum products and natural gas. Of the total petroleum products consumed in Pakistan in 2008-09 of 17.9 million tonnes, 42.3% was consumed by the power sector. The corresponding percentage in 2003-04 was 20.4%, demonstrating the drastic increase in the use of petroleum products for power generation. The percentage share of total natural gas consumption for power generation was 44.7% in 2003-04 but this has declined to 31.8% in 2008-09, reflecting the Government of Pakistan’s (GoP) policy of restricted allocation of gas for power generation.
The length of transmission lines in the country as of June 2009 was 5,078 ckM of 500-kV and 7,325 of 220-kV lines. Improvement of the transmission system to ensure system integrity and smooth supply to the consumers, is an ongoing process. Village electrification is an important part of Pakistan’s power policy. In 2008-2009 9,868 villages were electrified.
The GoP through the Alternative Energy Development Board (AEDB) is encouraging the development of alternative and renewable energy projects. Several Letters of Intent have been signed for wind power projects, and active efforts are being made to encourage biodiesel, biomass, waste-to-energy, mini hydro and solar technologies.
GoP policy is to reduce dependence on imported oil and the development of indigenous resources. This can only be achieved by development of economic hydro resources, drilling for more gas and by following a determined approach to exploit the huge coal reserves at Tharparkar.
Sources:
- Economic Survey of Pakistan 2009-10
- Pakistan Energy Yearbook 2009
- Electricity Marketing Data, 35thIssue, Planning Dept, NTDC
3 SYSTEM PLANNING CRITERIA
3.1 Introduction
The key assumptions as well as the technical and economic criteria used in the development and analysis of the National Power System Expansion (NPSEP) are presented in this section.
3.2 Economic and Financial Parameters
The following economic and financial parameters were considered in the development of the plan:
Study Period and Reference Year for Discounting
The study horizon period for development of the NPSEP is 2011-12 to 2029-30, inclusive, a 19-year period. The reference year used for present worth costing was 2011-12. The costs including capital costs, operating costs and fuel prices have been estimated at 2010 price levels.
Discount rate
The discount rate was used to bring all the future costs to one reference time point using the time value of money concept. The basic real discount rate considered in the study is 10%. Additional discount rates of 8% and 12% were also considered for the sensitivity analysis.
Exchange Rate
The exchange rate used in this study is Rs. 80/US$, which was the average exchange rate for 2010.
Cost of un-served energy
Un-served energy represents the failure to meet the energy demand of existing and new customers. It takes the form of either planned or unplanned supply curtailments. The cost of un-served energy varies on a sector-by-sector basis. In this study, the target levels of system reliability have been established so that the levels of un-served energy for the different scenarios analyzed would be similar. The cost of un-served energy has been approximated as the cost of generation from the most expensive unit in the system. This approach most likely understates the cost of un-served energy. However, since the primary purpose of the analysis was the comparison of alternative expansion scenarios which by definition would have similar levels of un-served energy, this approximation was deemed appropriate.
Fuel Pricing
Given the shortage of supply of indigenous fuels, it is likely that petroleum products and gas would need to be imported for future power plants. Therefore the pricing for petroleum products and gas have been based on their imported equivalents.
Although Thar coal would be produced domestically, currently there is insufficient information to base firm mining costs on. Therefore Thar coal has been priced such that the cost of power generated at Thar using Thar coal would be equivalent to the cost of power from a coastal plant using imported coal.
3.3 Generation Planning Criteria
Reliability Criteria and Reserve
Reliability criterion to decide the capacity addition requirement for every year over the planning horizon is the basis for developing the generation plan. The reliability criterion determines the timing of new capacity additions required in the future. Currently the reliability of the system is not the primary concern for Pakistan as the country is experiencing huge shortages of power. NTDC is therefore planning to add capacity to meet demand requirements at a lower but acceptable reliability level. There are two reliability indices which are commonly used for the development of generation expansion plans. These indices are as follows:
- Loss of Load Probability (LOLP): LOLP is the risk associated with having insufficient generation to meet the forecasted load demand. It is generally expressed in hours/year;
- Expected Un-served Energy (EUE): EUE is the measure of energy that is not supplied in expected terms over the year. It is generally expressed in GWh per year.
Since the country is experiencing huge shortages of power and most of the new capacity will be available only after 2014-15 taking into account the lead time of at least three years for development of new power plants, it is not realistic to expect that the country could meet the pre-determined reliability target of 1% of LOLP (equivalent to a loss of load expectation of 87.6 hours/year) in a short time period. A further constraint for Pakistan to meet its reliability target is the limited funding available for power system expansion. A significant amount of investment is required for both generation and transmission systems expansion as well as for the strengthening and expansion of the distribution networks.
The primary index used for reliability criterion in this study is Loss of Load Probability (LOLP). The reliability criterion for this study was applied in a staged manner, as follows:
- Up to 2018-19: LOLP < 10% (equivalent to a loss of load expectation of 876 hours/year);
- 2019-20: LOLP < 5% (equivalent to a loss of load expectation of 438 hours/year);
- 2020-21 onwards: LOLP < 1% (87.6 hours/year).
Load Profile
Analysing annual hourly load profiles is an important aspect of generation planning to capture the hourly and seasonal variations in the load. The hourly load data is used to construct monthly load duration curves which are key inputs to generation planning for planning the future years. The normal assumption is that the future monthly/seasonal load variations would be similar to the past ones. However, the historical load duration curves for the recent years could not be directly used for the future years since these curves were based on supply availability. Therefore it was necessary to have information on unrestricted monthly load patterns and hourly load profiles to represent the future years. After reviewing historical data and previous studies, 2003-04 was selected as it had no planned load shedding and very little adjustment was required for unexpected load shedding.
3.4 Environmental Criteria
The development of the NPSEP has been based on the environmental criteria and standards as currently exist in Pakistan.
3.4.1 Thermal Generation Projects
The emission requirements for thermal power plants have been based on the National Environmental Quality Standards (NEQS) that include the following specific standards:
- National Environmental Quality Standards for Municipal and Liquid Industrial Effluents;
- National Environmental Quality Standards for Industrial Gaseous Emissions;
- National Environmental Quality Standards for Sulphur Dioxide and Nitrogen Oxide Ambient Air Requirements.
The emission requirements pertain to particulates, Nitrogen Oxides, Sulphur Dioxide, Liquid Effluents and Solid Wastes.
The NPSEP has included in its cost estimates water treatment equipment for all plants, FGD equipment for coal fired plants and has used Low Sulphur Fuel Oil for oil fired plants.
3.4.2 Hydroelectric Generation Projects
The range of adverse environmental and related social impacts that can result from hydroelectric dams is remarkably diverse. While some impacts occur only during construction, the most important impacts usually are due to the long-term existence and operation of the dam and reservoir. Other significant impacts can result from complementary civil works such as access roads, power transmission lines, and quarries and borrow pits. Adverse environmental and social impacts associated with dams and reservoirs include flooding of natural habitats, loss of terrestrial wildlife, involuntary displacement and deterioration of water quality. Twenty seven hydroelectric projects have been considered in the NPSEP. Of these, eighteen projects have undergone thorough feasibility studies. Eleven of the eighteen projects have feasibility studies which are more than three years old and need updating. Nine projects are at initial stages and their feasibility studies have not yet started.
For those projects that have been studied to feasibility level and for which environmental cost estimates were available, these cost estimates were escalated to 2010 price levels. For those projects which have not been studied to feasibility level and for which environmental cost estimates were not available, an approximation was made. The approximation was based on information for those projects for which the required information was available. The environmental cost as a percentage of total project cost averaged over all those projects for which information was available, was applied to those projects for which the total project cost was available but the environment cost was not.
3.4.3 Transmission Projects
Environmental criteria at the planning level are applied at the transmission line route selection.
In Pakistan, there is an identification of protected areas designated for the protection of endangered species, habitats, ecosystems, archaeological sites, monuments, buildings, and other cultural heritage sites. These areas can be broadly categorized into two groups as follows:
- Ecosystems;
- Archaeological and Cultural sites.
The following environmental criterion has been adopted to avoid environmentally sensitive areas and major resettlement issues for the proposed transmission line routes. These are mainly based on physical, ecological and socio-economic features:
- Avoidance of heavily populated areas/towns;
- Avoidance of indigenous or tribal settlements;
- Avoidance of cultural, religious and historical buildings;
- Minimum disturbance to the natural habitats of flora and fauna;
- Avoidance of major birds migratory routes;
- Avoidance of wildlife sanctuaries, National Parks, and Game Reserves;
- Avoidance of potentially security vulnerable areas;
- Appropriate distance from the sensitive receptors (for instance, minimum 500m);
- Avoidance of large water bodies like lakes, rivers or streams; and,
- Avoidance of airports, railway tracks and other similar structures and facilities.
3.5 Transmission Planning Criteria
The planning criteria used in the transmission planning studies were taken from the Planning Code section of the NTDC Grid Code (June, 2005).
3.5.1 Contingency Conditions
Planning for steady-state, were based on (N-0) and (N-1) contingency conditions. There were two base-case scenarios for each year; Summer-peak (High Water) and Winter-offpeak (Low Water).
Single contingency cases (N-1) were studied for each base case scenario. For the planning studies, an outage was defined as any one of the following:
- Outage of a 500/220/132 kV transmission circuit;
- Outage of a generator step-up transformer;
- Outage of a grid station transformer;
- Outage of a substation 500 kV or 220 kV bus section;
- Outage of a 500 kV shunt reactor.
Planning for dynamic performance (transient stability) was based on the occurrence of each of the following contingencies:
- Permanent three-phase fault on any 500/220 kV line and subsequent outage of the associated transmission line;
- Failure of a circuit breaker to clear a fault (“stuck breaker” condition) in 5 cycles, with back-up clearing in 9 cycles after fault initiation.
3.5.2 Component Loading
Under normal operating conditions (N-0), all transmission lines and transformers were loaded below their Normal Continuous Maximum ratings. Under contingency conditions (N-1), all transmission lines and transformers were loaded below their Emergency ratings.
3.5.3 Voltage
For steady-state conditions, all bus voltages shall be within the following ranges:
- Under normal operating conditions (N-0) ± 5% of nominal system voltage
- Under contingency conditions (N-1)± 10% of nominal system voltage
3.6 Distribution Planning Criteria
The planning of the secondary transmission system considered the operation of a power system under two possible situations as listed below:
- Normal operating conditions (N-0):the secondary transmission system (66-132 kV) infrastructure was entirely available (no equipment has been forced out of service);
- Contingency operating conditions (N-1):one of the secondary transmission system equipment (line or transformer) was out of service. In this study, only the outage of transmission lines rated at 132 kV (or 66 kV) within each DISCO was considered.
For each of these operating conditions, the following criteria were applied to the analyses.
3.6.1 System Voltage Criteria
The acceptable voltage range for operating the system based on factors such as equipment limitations and motor operation under normal and contingency conditions were as follows:
Condition | Acceptable Voltage Range |
Normal System Conditions | 95% - 105% (±5%) |
Contingency Conditions | 90% - 110% (±10%) |
It is important to note that from an operational standpoint, healthy systems usually target a voltage close to 1.0 pu at 132 kV (or 66 kV) voltage levels.
3.6.2 Equipment Thermal Loading Criteria
The secondary transmission system was planned to allow all transmission lines and equipment to operate within the following limits for the following defined conditions:
Condition | Thermal Loading Limit |
Normal System Conditions | Defined Normal Load Capacity |
System Design Contingencies of Long Duration (i.e. an outage involving the failure of a transformer) | Defined Normal Load Capacity |
System Design Contingencies of Short Duration (i.e. not involving a transformer) | Defined Emergency Load Capacity (120% of normal rating for 10 hours per year) |
In line with NTDC requirements the line loading under contingency conditions (N-1 analysis) were based on the normal rating (Rating A).
3.7 Financial Planning Criteria
The overall objective for the financial plan was to determine the financial implications for the power sector over the course of the 20 year period (2010-11 to 2029-30) and to determine the level of impact on the average tariff.
The sales and load forecast and the system expansion plan comprising the generation and transmission expansion plans were the key inputs to the financial plan. The system expansion plan was the least cost economic plan to serve Pakistan’s load growth and current load over the period 2010-11 to 2029-30.
The costs underlying the generation expansion plan were economic costs and were in real terms (i.e. constant price levels excluding financing costs, taxes). For the financial plan, it was necessary to turn these economic costs of the generation and transmission into financial costs, taking into account taxes, depreciation, financing charges and profits. This involved determining the financing associated with the capital expenditures and then calculating the financial costs associated with the assets by including interest costs, depreciation, operation costs including fuel and maintenance costs, taxes, and appropriate returns to the investors. Since the financial plan was carried out in nominal terms, an inflationary component was also be added to the capital, and operating costs.
The financial plan indicates the overall investment and financing required for the generation and transmission expansion and the overall impact on the cost of power to the DISCOs and to KESC.
The analysis determined the tariff at the generation and transmission level required to recover the financial costs of the investments in the power sector in generation and transmission.
The key criteria used in the financial analysis are summarized in Table 3-1 below. Table 3-1 Key Financial Criteria
Criteria | Value Used |
Inflation Rate | 2% |
Discount Rate | 10% |
Rate of Return | 15% on Equity |
Cost of borrowing | 8% per annum |
Debt/Equity Ratio for financing | 70% / 30% |
Loan repayment period | 10 years |
Exchange rate | 80 PAK Rupees = 1 US$ (2010) |
Asset Life | |
• Hydro | 50 years |
• Thermal | 30 years |
• Transmission | 40 years |
4 POWER DEMAND
4.1 Introduction
Load forecasting entails the prediction of the future level of demand, and provides the basis for future supply side and demand side planning. Generation planning requires a load forecast for the country as a whole, while transmission and distribution planning requires more load–level and geographic detail to determine the location, timing and loading of individual lines, substations and transformation facilities. Geographic load detail is also a factor in the determination of the location of generation plants since it is generally desirable to locate generation sources close to the load centres.
This analysis was based on a complete review of historical data which included electricity consumption, electricity tariffs, Gross Domestic Product (GDP), population etc., covering the period 1970 to 2010.The forecast horizon is up to the year 2035.
Four forecast scenarios have been developed: the Base or Normal Case, the Low Case, the High Case and the Base Case with Demand Side Management. The forecast was prepared by NTDC and is summarized in the following sections.
4.2 Issues related to the load forecast
4.2.1 Load Shedding
There has been planned load shedding in the country since 2004 due to shortages of generation and reliability of the transmission and distribution systems. Statistics available on load shedding since 2004 are shown in Table 4-1.
Table 4-1 History of Planned Load Shedding
Year | National Sales (GWh) | National Load Shedding (GWh) | Total National Demand (GWh) | Shedding as % of National Demand |
2003 | 52,661 | - | 52,661 | 0.0% |
2004 | 57,467 | 520 | 57,986 | 0.9% |
2005 | 61,247 | 265 | 61,512 | 0.4% |
2006 | 67,608 | 1,208 | 68,815 | 1.8% |
2007 | 71,947 | 2,040 | 73,982 | 2.8% |
2008 | 72,518 | 12,578 | 85,096 | 14.8% |
2009 | 69,668 | 18,222 | 87,890 | 20.7% |
2010 | 73,595 | 21,821 | 95,238 | 22.9% |
Source: Power System Statistics 35thedition and National Power Control Centre
The national demand combines sales by the PEPCO system and the sales by KESC.
Load shedding as a percentage of national demand reached an alarming 22.9% by 2010. In the derivation of the load forecast, the historical data was adjusted to take into account the load shedding. The forecast used the estimate of unconstrained demand as its starting point and therefore reflects the true energy and demand requirements of the customers.
4.2.2 Transmission and Distribution Losses
During the 1980’s WAPDA introduced programs to reduce power and energy losses throughout its system, the implementation of which proved to be quite fruitful. After a few years of declining losses, system losses particularly distribution losses have risen again, thereby suggesting the need for remedial loss reduction efforts. Table 4-2 shows a summary of energy generation, sale, and auxiliary, transmission and distribution losses since 2000 for PEPCO.
Table 4-2 Historical Energy Generation, Sale and Losses – PEPCO
Year | Gross Generation | Auxiliary Consumption | Energy sent out | Transmission Losses | Distribution Losses | Units sold |
| (GWh) | (GWh) | (%) | (GWh) | (GWh) | (%) | (GWh) | (%) | (GWh) |
2000 | 55873 | 1201 | 2.1 | 54672 | 4017 | 7.2 | 9745 | 17.4 | 40910 |
2001 | 58455 | 1173 | 2.0 | 57282 | 4594 | 7.9 | 9304 | 15.9 | 43384 |
2002 | 60860 | 1315 | 2.2 | 59545 | 4600 | 7.6 | 9741 | 16.0 | 45204 |
2003 | 64040 | 1346 | 2.1 | 62694 | 4908 | 7.7 | 10365 | 16.2 | 47421 |
2004 | 69094 | 1397 | 2.0 | 67697 | 5054 | 7.3 | 11151 | 16.1 | 51492 |
2005 | 73520 | 1850 | 2.5 | 71670 | 5467 | 7.4 | 11925 | 14.9 | 55342 |
GR(20002005) | 5.6% | | | 5.6% | | | | | 6.2% |
2006 | 82225 | 1821 | 2.2 | 80404 | 5839 | 7.1 | 12160 | 14.8 | 62405 |
2007 | 87837 | 1850 | 2.1 | 85987 | 3268 | 3.7 | 15239 | 17.3 | 67480 |
2008 | 86269 | 1685 | 2.0 | 84584 | 2948 | 3.4 | 15097 | 17.5 | 66539 |
2009 | 84377 | 1672 | 2.0 | 82705 | 2962 | 3.5 | 14457 | 17.1 | 65286 |
2010 | 88880 | 1808 | 2.0 | 87072 | 2716 | 3.1 | 15478 | 17.4 | 68878 |
GR(20052010) | 3.9% | | | 4.0% | | | | | 4.5% |
Source:Electricity Demand Forecast Period 2011-2035 by Planning Power NTDC.
Note: Gross Generation of PEPCO includes Export to KESC but auxiliary consumption of IPPs is not included
The figures indicate that PEPCO distribution losses dropped from 17.4% to 14.8% of gross generation over the period 2000 to 2006. However, these increased to 17.3% in one year i.e. in 2007, and remained around that level from 2007 to 2010.
A summary of energy generation, sale, and losses since 2000 for the Karachi Electric Supply Company (KESC) is shown in Table 4-3.
Table 4-3 Historical Energy Generation, Sale and Losses - KESC
Year | Gross Generation | Auxiliary Consumption | Energy sent out | Transmission Losses | Distribution Losses | Units sold |
(GWh) | (GWh) | (%) | (GWh) | (GWh) | (%) | (GWh) | (%) | (GWh) |
2000 | 11446 | 512 | 4.5 | 10934 | 286 | 2.5 | 4218 | 36.9 | 6430 |
2001 | 11677 | 534 | 4.6 | 11143 | 292 | 2.5 | 3928 | 33.6 | 6923 |
2002 | 12115 | 568 | 4.7 | 11547 | 303 | 2.5 | 4526 | 37.4 | 6718 |
2003 | 12616 | 581 | 4.6 | 12035 | 315 | 2.5 | 4744 | 37.6 | 6976 |
2004 | 13392 | 662 | 4.9 | 12730 | 335 | 2.5 | 4577 | 34.2 | 7818 |
2005 | 13593 | 661 | 4.9 | 12932 | 340 | 2.5 | 4176 | 30.7 | 8416 |
GR(20002005) | 3.5% | | | 3.4% | | | | | 5.5% |
2006 | 14500 | 685 | 4.7 | 13815 | 363 | 2.5 | 4392 | 30.3 | 9060 |
2007 | 14238 | 639 | 4.5 | 13599 | 372 | 2.5 | 3860 | 27.1 | 9367 |
2008 | 15189 | 610 | 4.0 | 14579 | 381 | 2.5 | 4147 | 27.3 | 10052 |
2009 | 15268 | 618 | 4.0 | 14650 | 390 | 2.5 | 4872 | 31.9 | 9396 |
2010 | 15805 | 591 | 3.7 | 15214 | 395 | 2.5 | 4914 | 31.1 | 9905 |
GR(20052010) | 3.1% | | | 3.3% | | | | | 3.3% |
Source:Electricity Demand Forecast Period 2011-2035 by Planning Power NTDC and information from KESC.
KESC distribution losses were significantly high and range from 27.1 to 37.6% (almost double the PEPCO system losses) during the past 10 years.
4.2.3 System Load Factor
The annual load factor gives the average value of the load to supply ratios as it changes over the year. The load depends mainly upon the electricity demand changes with time of day use, temperature, and season. It also depends on the composition of customer categories.
The load factors for the PEPCO system for the period 2005-2010 are given in Table 4-4.
Table 4-4 PEPCO Load Factor (Historical)
Period | Computed Gross Generation (GWh) | Computed Peak Demand (MW) | Load Factor (%) |
2004-05 | 74257 | 12035 | 70.4% |
2005-06 | 83579 | 13212 | 72.2% |
2006-07 | 90116 | 15138 | 67.9% |
2007-08 | 100143 | 16838 | 67.9% |
2008-09 | 104532 | 17325 | 68.9% |
2009-10 | 113035 | 17884 | 72.1% |
Average Load Factor (2004-05 to 2009-10) | 69.9% |
Source:Electricity Demand Forecast Period 2011-2035 by Planning Power NTDC.Note: IPPs auxiliary consumptions are not included.
These figures have been calculated on the basis of computed energy generation and computed peak demand for the two systems i.e. taking into account load management and excluding import/export of electricity between PEPCO and KESC. The load factors for the KESC System for the period 2005-2010 are shown in Table 4-5.
Table 4-5 KESC Load Factor (Historical)
Period | Computed Gross Generation (GWh) | Computed Peak Demand (MW) | Load Factor (%) |
2004-05 | 13638 | 2197 | 70.86 |
2005-06 | 14697 | 2223 | 75.47 |
2006-07 | 14555 | 2354 | 70.58 |
2007-08 | 17285 | 2443 | 80.77 |
2008-09 | 18169 | 2462 | 84.24 |
2009-10 | 19169 | 2562 | 85.41 |
Average Load Factor (2004-05 to 2009-10) | 77.89 |
Source:Electricity Demand Forecast Period 2011-2035 by Planning Power NTDC & KESC letters
The load factors for both PEPCO and KESC systems have been increasing in recent years, with the KESC system load factor significantly higher than that of PEPCO.
4.2.4 Load Characteristics
The electricity consumption pattern by sector over the last four decades is shown in Table 4-6.
Table 4-6 Electricity Consumption Pattern
| | % Consumption | |
Sector | 1980 | 1990 | 2000 | 2010 |
Domestic | 21 | 30 | 43 | 42 |
Industry | 42 | 40 | 36 | 35 |
Agriculture | 19 | 16 | 9 | 12 |
Commercial | 8 | 6 | 5 | 7 |
Others | 10 | 8 | 7 | 4 |
Source:Electricity Demand Forecast Period 2011-2035 by Planning Power NTDC
The domestic share of total electricity consumption is increasing over time, while that of the industrial sector is declining. As incomes are rising, the domestic sector consumption is increasing. However, the trend of decreasing industrial consumption is likely to have a negative impact on economic growth and therefore needs to be arrested.
Tariffs
The real price of electricity is, conceptually, very important in deriving an econometric forecast of electricity sales. Economic theory suggests that for any increase in the real price of a commodity there will be a corresponding decrease in its consumption. The link between the two is price elasticity. In Pakistan, as in many other jurisdictions, the derivation of the price elasticity of sales of energy is difficult for two reasons:
- The real price increases tend to be small and widely dispersed in time;
- From a pragmatic point of view, electricity is an inelastic product: once a consumer has electric power service, he or she is reluctant to go to alternative energy sources (from electric light to candles or kerosene lamps, electric motors to gas-powered motors or domestic beasts of burden, etc.).
The power sector has been chronically short of funds and will rely to a certain extent on tariffs to fund future expansion plans. Modest real increases in price have been used in the regression analysis based on the growth in real prices over the past years.
Electrification
Pakistan has been following a rural electrification program to enable the rural population to share the benefits of development. In 1980 30% of households were electrified which increased to 70% in 1998 as reported in the respective census reports.
4.2.5 Demand Side Management
Little formal work has been done on Demand Side Management (DSM) since the 1998 load forecast update study. As the benefits identified in this and other studies are assumed to have been implemented by 2010, the current long-term forecast assumes that while there may be no energy benefit in terms of either sales or generation, there could be a reduction in peak demand.
It is recognized that in a country with a scarcity of power, DSM is a crucial element in planning to meet the load. Such programs should be fostered and their results taken into account as programs are implemented.
4.3 Approach and Methodology
4.3.1 General
Two forecasts were prepared by the NTDC team a medium-term forecast up to the year 2020 for the PEPCO system and a long-term forecast up to 2035 for both the PEPCO system and the KESC system. The KESC system accounts for approximately 10% of the country’s load.
The medium term forecast covers PEPCO service areas by category: domestic, commercial, industrial, agricultural, traction, street lighting and bulk sales. This includes all the DISCOs except KESC.
The long-term forecast was carried out on a country-wide basis; this was then separated into the PEPCO system and the KESC system. The medium term forecast contains a breakdown by grid-station but the long-term forecast does not.
For purposes of the National Power System Expansion Plan (NPSEP), it was appropriate to consider the energy and capacity requirements of the country as a whole. The point of the forecast was to estimate the amount of power required by the current and prospective customers. The forecast therefore presented the unconstrained needs of the country.
The load forecast was used for two activities in the development of the NPSEP. The generation plan had to determine the least cost expansion plan that would meet the load forecast with an appropriate degree of reliability. The transmission plan was required to provide the least cost transmission plan that would transmit the power from the generation sources to the load centers. The forecast was therefore segregated by major load centre, defined as each DISCO and, within the DISCO, by each 132/11 kV grid station.
4.3.2 Medium-Term Forecast
The medium-term forecast followed a bottom-up approach. It started with the data of units billed by each category for each feeder within each DISCO, adjusted for load shedding. The medium-term forecast gave the peak demand for each grid station at the 132/11 kV level. This forecast gave the estimated consumption for each DISCO but did not include KESC.
This forecast estimated the value of energy and demand for the PEPCO system (KESC did not provide the required information for the development of this forecast for its system). Load factors were estimated for each category for each DISCO. The categories included were Domestic (42% of total sales in 2010), Industrial (35%), Agriculture (12%), Commercial (7%) and others (traction, street lighting and bulk - 4%).
The forecast was based on a survey of the DISCOs who provided their forecast by customer category and by area or sub-area. The NTDC Planning Department adjusted the forecast for load shedding and for demand-side management. Load shedding has been a factor in the power sector since the 1980’s but had been virtually eliminated in the early 2000’s. It has become significant again in 2005 and even more so in 2009. The last DSM study done was about 10 years ago and the current forecast was adjusted to take into account the results of that study.
The DISCOs provided feeder wise data for units billed for the base year, and data for expected spot loads (e.g. any new industry, housing scheme, commercial plazas and any new village etc.) for the future years. NTDC provided estimates of future growth from the units billed in the base year.
4.3.3 Long Term Forecast
The long-term forecast was done at a national level and included KESC as an integral part of the forecast. The following were some of the more relevant observations:
- It was based on historic data 1970 to 2010 and the forecast covered 2011 to 2035;
- In carrying out multiple regressions, care was taken to ensure that any econometric relationships selected were logical and had a strong statistical correlation;
- The software E-views was used to assist with the derivation of econometric relationships;
- The methodology used was first presented in the National Power Plan Pakistan in
1994. This approach has, in general terms, been retained;
- The relationships that were examined are in the following formula:
Ln(S) = K + C1* Ln(V1) + C2* Ln(V2) + C3* Ln(V3) + etc.
Where: Ln = the natural logarithm
S = sales in a specific category
K = a constant
V1, V2, V3,etc. are independent variables
C1, C2, C3,etc. are coefficients derived from the least squares regression analysis
- This analysis was applied to the Domestic, Commercial, Industrial and Agricultural categories;
- The Domestic category included a grouping of the direct sales to PEPCO customers, the direct sales to KESC customers, an estimate of the bulk load that serviced residential households (i.e. as part of housing colonies) as well as an estimate of the unserved domestic load (i.e. a load shedding allowance);
- The Commercial category included all the same elements;
- The Industrial load (which included all the captive generation as contained in the records available) was based on the assumption that captive generation was used primarily by industries in the production of their goods and services;
- Street lighting was taken as a percentage of the sales by domestic and commercial customers;
- The remainder of the bulk sales was taken as a percentage of the industrial and commercial load;
- The traction load was extremely small and an allowance for such sales was made by the judgment of the analyst;
- The regression coefficients derived from the historical analysis of the four “category groups” as mentioned above were applied to projections of the independent variables for each year of the forecast period in order to obtain the forecast for the category for that year;
- The projections of the independent variables were usually obtained from authoritative sources external to the NTDC;
- Each of the four categories of country level sales, forecasted above, was then bifurcated into PEPCO and KESC. This was done according to the historical share of each category.
4.4 Key Independent Variables
The potential independent variables (demographic and economic) for regression analysis included:
- Total GDP;
- GDP by major sector (agriculture, manufacturing, trade, services, etc.);
- Electricity revenue per kWh sold by customer class (real price); • Number of customers by consumption category; and
- Population.
These regressions were analyzed by province and power system (PEPCO and KESC), and was based on sales by customer category. The best-fit regressions were found to be based on a logarithmic relationship between the variables.
The relationships selected for the forecasts were:
- Domestic sales are related to Total GDP, Real Electricity Price and Domestic Sales Lagged (-1) and a dummy variable;
- Commercial sales are related to Commercial GDP, Real Electricity Price Lagged (-2) and Commercial Sales Lagged (-3);
- Industrial sales are related to Total GDP, Real Electricity Price Lagged (-1), and Industrial Sales Lagged (-1) and a dummy variable; and
- Agricultural sales are related to Agriculture GDP, Real Electricity Price, Agricultural Sales Lagged (-1) and a dummy variable.
4.4.1 Projections of Independent Variables
GDP Growth
A review of historical total real GDP growth rates from 1970 to 2010 was carried out in order to assess the reasonableness of the future projections, and to propose the values to extrapolate these projections up to the year 2035. This analysis suggested that the longest continuous period where the growth rate approximated 6.5% was for ten years, and the longterm average for the entire period was 5% per year. These boundaries were used to establish the Low and High Cases for future projections of GDP. For the Base Case GDP growth projections, official projections developed by the GoP Planning Commission were directly adopted.
These projections are shown in Table 4-7 for the Low, Normal and High scenarios.
Table 4-7 GDP Projections
Year | Low | Normal | High |
2010 – 2014 | 4.0% | 4.3-61% | 6.5% |
2015 – 2016 | 4.5% | 6.6% | 6.5% |
2017 – 2020 | 5.0% | 6.4-6.6% | 6.5% |
2021 – 2025 | 5.0% | 6.0-6.2% | 6.5% |
2026 – 2030 | 5.0% | 5.8-5.9% | 6.5% |
2031 – 2035 | 5.0% | 5.8% | 6.5% |
The detailed GDP forecast by sector for the Normal case is shown in Table 4.8.
Table 4-8 Projected Real GDP Growth Rates – Normal Case
Year | Gross Domestic Product (%) | |
Total | Total / Capita | Commercial | Industrial | Agriculture |
2010-11 | 4.3 | 2.4 | 4.5 | 4.2 | 3.9 |
2011-12 | 4.9 | 3.0 | 5.2 | 5.0 | 4.0 |
2012-13 | 5.5 | 3.6 | 5.9 | 5.9 | 4.1 |
2013-14 | 6.1 | 4.2 | 6.6 | 6.8 | 4.1 |
2014-15 | 6.6 | 4.7 | 7.1 | 7.6 | 4.1 |
2015-16 | 6.6 | 4.7 | 6.9 | 8.0 | 4.1 |
2016-17 | 6.6 | 4.7 | 6.8 | 8.2 | 4.1 |
2017-18 | 6.5 | 4.6 | 6.4 | 8.5 | 4.1 |
2018-19 | 6.5 | 4.6 | 6.3 | 8.8 | 4.1 |
2019-20 | 6.4 | 4.5 | 5.5 | 10.0 | 4.0 |
2020-21 | 6.2 | 4.4 | 5.1 | 10.0 | 4.0 |
2021-22 | 6.1 | 4.3 | 4.8 | 10.0 | 4.0 |
2022-23 | 6.1 | 4.3 | 4.7 | 10.0 | 3.8 |
2023-24 | 6.0 | 4.2 | 4.5 | 10.0 | 3.6 |
2024-25 | 6.0 | 4.2 | 4.4 | 10.0 | 3.5 |
2025-26 | 5.9 | 4.1 | 4.3 | 9.8 | 3.2 |
2026-27 | 5.9 | 4.1 | 4.4 | 9.6 | 3.0 |
2027-08 | 5.8 | 4.0 | 4.2 | 9.4 | 3.0 |
2028-29 | 5.8 | 4.0 | 4.2 | 9.2 | 3.0 |
2029-30 | 5.8 | 4.0 | 4.2 | 9.0 | 3.0 |
2030-31 | 5.8 | 4.1 | 4.2 | 9.0 | 3.0 |
2031-32 | 5.8 | 4.1 | 4.2 | 9.0 | 3.0 |
2032-33 | 5.8 | 4.1 | 4.2 | 9.0 | 3.0 |
2033-34 | 5.8 | 4.1 | 4.2 | 9.0 | 3.0 |
2034-35 | 5.8 | 4.1 | 4.2 | 9.0 | 3.0 |
ACGR(2010-35) | 5.9 | 4.1 | 5.1 | 8.6 | 3.6 |
Source:Electricity Demand Forecast – 2011-2035, NTDC Planning
Number of Customers
The number of domestic customers was estimated by first projecting the population growth of Pakistan using the most recent historic growth rates. This was converted to the number of households using the size of households based on census data – 6.8 people per household. This household size was kept constant over the forecast period. This provides an estimate of the future number of domestic customers.
Electricity Prices
There is a direct relationship between the price of electricity and its consumption. There is also a relationship between the price of electricity and distribution losses. Real changes in future electricity prices will be determined by the capital investment program.
The power sector has been chronically short of funds and will rely to a certain extent on tariffs to fund future expansion plans. Modest real increases in price have been used in the regression analysis based on the growth in real prices over the past three years. The rates used were 2.2%, 2.2%, 0.6%, and 3.1% for domestic, commercial, industrial and agriculture sectors respectively for the first 10 years of the forecast. The increases were tapered down to 1.1%, 1.1%, 0.3% and 2.5% for the next 10 years of the forecast. And finally, no real increase has been assumed for the next five years for all sectors. Higher tariff increases were assured in earlier years as capital investments are expected to be higher in those years.
4.5 Load Forecasts
4.5.1 Sales Forecasts
The NPSEP sales forecasts for PEPCO and KESC by tariff category are shown in Table 4-9. These forecasts are based on the observed 2010 consumption levels and the annual growth rates determined from the growth in the independent variables and the coefficients established in the regression analysis. The average annual growth rate of electricity consumption over the 2010 to 2035 period is 8.05%. Table 4-9 shows that the category of largest growth is the Domestic sector, followed by the Industrial category and then by the Agricultural and Commercial sectors.
The sectoral consumption pattern in 2010 and in 2035 is shown in Table 4-10. Table 4-10 Consumption Patterns
| % of Sales 2010 | % of Sales 2035 |
Domestic | 42 | 46 |
Industry | 35 | 37 |
Agriculture | 12 | 9 |
Commercial | 7 | 4 |
Others | 4 | 4 |
Source:Electricity Demand Forecast – 2011-2035, NTDC Planning
The sectoral consumption pattern shows little change over time. The domestic sector will represent close to half of the total electricity consumption in 2035.
Pakistan’s per capita consumption of electricity was 125 kWh in 1980, this improved to 640 kWh by 2010. It is projected that Pakistan’s per capita consumption of electricity will rise to 2,538 kWh by 2035. This is still very low by international standards. 4.5.2 Generation Forecast
The NPSEP generation forecast is listed in Table 4-11.
The generation forecast was derived based on the sales forecast and the estimated power system losses, i.e. distribution losses and transmission losses, and the auxiliary consumption as well as the load factor for PEPCO and KESC system. These are discussed as follows:
Transmission and Distribution Losses and Auxiliary consumption
- PEPCO System
The present level of PEPCO transmission losses is 5.6% which consists of 3.0% at the 500 and 220 kV level (NTDC losses) and 2.6% at the 132kV level. DISCO”s losses have been gradually reduced from 2.6% in 2010 to 2.5% by the year 2015. NTDC transmission losses have also been gradually reduced from 3.0% in the year 2010 to 2.4% in the year 2015. These have been kept constant for the rest of the forecast period.
504760-01-MR 4-15 Main Report
The present level of distribution losses is 14.6%. These losses have been reduced gradually to reach 8% by the year 2019, and have been kept constant up to the year 2035. Auxiliary consumption in the PEPCO system at present is 3.3% and this is kept constant throughout the forecast period.
- KESC System
The present level of KESC transmission losses (2.5%) is maintained throughout the forecast period. The distribution losses have been reduced gradually from the present 31.1% to reach 23.6% by the year 2015 and are kept constant for the rest of the forecast period. Auxiliary consumption in the KESC system is kept at 3.7% throughout the forecast period.
Load Factor
The present load factor is 69.3% for the PEPCO system and 85.4% for the KESC system. The average load factor for the PEPCO system for the period 2006 to 2010 is approximately 70%. The average load factor for the last six years for the KESC system is 78%. The computed load factor for both systems combined was gradually reduced to reach a target level of 67% by the year 2035, representing a system that would be free of supply constraints.
The NPSEP generation forecast is listed in Table 4-11. The results show that the average annual growth rate of electricity generation and peak demand of the country over the 2010 to 2035 period is 7.68% and 7.92%, respectively. The total generation and peak demand are expected to reach 889,583 GWh and 149,665 MW by the end of the period.
4.5.3 Forecast with DSM
It was not possible to explicitly include DSM initiatives in the medium term PMS model, or in the regression forecast. The impact of DSM on the forecast has been approximated by an improvement of the load factor to 70%, up from the 67% assumed in the Base Case. The NPSEP forecast with DSM is shown in Table 4-12.
504760-01-MR 4-16 Main Report
Table 4-11 Load Forecast – Normal
Year | PEPCO | | KESC | | PEPCO + KESC | Self Generation | Country | |
Sale | Generation | Peak | Sale | Generation | Peak | Sale | Generation | Peak | Sale | Generation | Peak | Sale | Generation | Peak |
(GWh) | (GWh) | (MW) | (GWh) | (GWh) | (MW) | (GWh) | (GWh) | (MW) | (GWh) | (GWh) | MW | (GWh) | (GWh) | MW |
Base Year (Recorded) | | | | | | | |
2009-10 | 68873 | 90052 | 13445 | 9905 | 15805 | 2082 | 78778 | 105857 | 15386 | 11687 | 12433 | 2028 | 90465 | 118290 | 17413 |
Base Year (Computed) | | | | | | | |
2009-10 | 82868 | 108351 | 17847 | 12014 | 19170 | 2562 | 94882 | 127521 | 20223 | 11687 | 12433 | 2028 | 106569 | 139954 | 22251 |
Future Projections | | | | | | | |
2010-11 | 89711 | 115902 | 19115 | 13457 | 20970 | 2827 | 103168 | 136873 | 21743 | 12384 | 13174 | 2148 | 115552 | 150047 | 23891 |
2011-12 | 97470 | 124415 | 20547 | 14589 | 22215 | 3021 | 112058 | 146630 | 23353 | 13225 | 14069 | 2294 | 125283 | 160699 | 25648 |
2012-13 | 106111 | 133839 | 22133 | 15864 | 23617 | 3240 | 121975 | 157456 | 25142 | 14213 | 15121 | 2466 | 136188 | 172577 | 27608 |
2013-14 | 115806 | 144356 | 23904 | 17284 | 25169 | 3484 | 133090 | 169525 | 27139 | 15365 | 16346 | 2666 | 148455 | 185871 | 29804 |
2014-15 | 126881 | 156329 | 25921 | 18902 | 26938 | 3762 | 145783 | 183267 | 29414 | 16695 | 17761 | 2896 | 162478 | 201028 | 32310 |
G.R. (2010-15) | 8.89% | 7.61% | 7.75% | 9.49% | 7.04% | 7.99% | 8.97% | 7.52% | 7.78% | 7.39% | 7.39% | 7.39% | 8.80% | 7.51% | 7.75% |
2015-16 | 139180 | 171483 | 28472 | 20697 | 29496 | 4157 | 159877 | 199607 | 32332 | 18171 | 19331 | 3152 | 178048 | 218938 | 35485 |
2016-17 | 152603 | 184387 | 30656 | 22653 | 32282 | 4592 | 175256 | 216669 | 34927 | 19790 | 21053 | 3433 | 195045 | 237722 | 38360 |
2017-18 | 167096 | 199966 | 33291 | 24771 | 35301 | 5067 | 191867 | 235267 | 38009 | 21545 | 22920 | 3738 | 213411 | 258186 | 41747 |
2018-19 | 182663 | 218013 | 36344 | 27056 | 38558 | 5587 | 209719 | 256571 | 41549 | 23453 | 24950 | 4069 | 233172 | 281521 | 45618 |
2019-20 | 199113 | 237646 | 39671 | 29476 | 42007 | 6144 | 228589 | 279653 | 45398 | 25516 | 27145 | 4427 | 254105 | 306797 | 49824 |
G.R. (2015-20) | 9.43% | 8.74% | 8.88% | 9.29% | 9.29% | 10.31% | 9.41% | 8.82% | 9.07% | 8.85% | 8.85% | 8.85% | 9.36% | 8.82% | 9.05% |
2020-21 | 216802 | 258759 | 43253 | 32086 | 45726 | 6752 | 248888 | 304485 | 49550 | 27731 | 29501 | 4811 | 276619 | 333986 | 54361 |
2021-22 | 235545 | 281129 | 47056 | 34860 | 49679 | 7406 | 270405 | 330808 | 53967 | 30110 | 32032 | 5224 | 300515 | 362840 | 59190 |
2022-23 | 255307 | 304715 | 51073 | 37796 | 53863 | 8107 | 293102 | 358578 | 58642 | 32685 | 34771 | 5670 | 325787 | 393349 | 64313 |
2023-24 | 276025 | 329442 | 55293 | 40897 | 58283 | 8859 | 316922 | 387726 | 63568 | 35456 | 37719 | 6151 | 352378 | 425445 | 69719 |
2024-25 | 297657 | 355260 | 59707 | 44160 | 62934 | 9660 | 341817 | 418194 | 68736 | 38456 | 40910 | 6672 | 380273 | 459104 | 75408 |
G.R. (2020-25) | 8.37% | 8.37% | 8.52% | 8.42% | 8.42% | 9.47% | 8.38% | 8.38% | 8.65% | 8.55% | 8.55% | 8.55% | 8.40% | 8.40% | 8.64% |
2025-26 | 320028 | 381961 | 64282 | 47562 | 67782 | 10509 | 367590 | 449743 | 74110 | 41683 | 44343 | 7231 | 409273 | 494086 | 81342 |
2026-27 | 343186 | 409601 | 69027 | 51121 | 72853 | 11409 | 394307 | 482454 | 79705 | 45173 | 48056 | 7837 | 439480 | 530510 | 87542 |
2027-28 | 366909 | 437915 | 73900 | 54803 | 78101 | 12356 | 421712 | 516016 | 85471 | 48924 | 52047 | 8488 | 470636 | 568062 | 93958 |
2028-29 | 391193 | 466898 | 78898 | 58614 | 83532 | 13351 | 449807 | 550430 | 91410 | 52978 | 56359 | 9191 | 502785 | 606789 | 100601 |
2029-30 | 416023 | 496534 | 84021 | 62560 | 89155 | 14399 | 478583 | 585689 | 97524 | 57367 | 61029 | 9952 | 535950 | 646718 | 107477 |
G.R. (2025-30) | 6.93% | 6.93% | 7.07% | 7.21% | 7.21% | 8.31% | 6.96% | 6.97% | 7.25% | 8.33% | 8.33% | 8.33% | 7.10% | 7.09% | 7.34% |
2030-31 | 442521 | 528160 | 89495 | 66780 | 95168 | 15532 | 509301 | 623328 | 104071 | 62141 | 66107 | 10781 | 571441 | 689435 | 114852 |
2031-32 | 470613 | 561689 | 95307 | 71255 | 101546 | 16749 | 541868 | 663235 | 111037 | 67319 | 71616 | 11679 | 609187 | 734851 | 122716 |
2032-33 | 500412 | 597254 | 101481 | 76011 | 108325 | 18059 | 576424 | 705579 | 118453 | 72932 | 77587 | 12653 | 649355 | 783166 | 131106 |
2033-34 | 532107 | 635083 | 108057 | 81089 | 115561 | 19475 | 613197 | 750644 | 126372 | 79013 | 84056 | 13708 | 692210 | 834701 | 140080 |
2034-35 | 565763 | 675253 | 115050 | 86495 | 123265 | 21002 | 652258 | 798517 | 134814 | 85602 | 91066 | 14851 | 737860 | 889583 | 149665 |
G.R. (2030-35) | 6.34% | 6.34% | 6.49% | 6.69% | 6.69% | 7.84% | 6.39% | 6.40% | 6.69% | 8.33% | 8.33% | 8.33% | 6.60% | 6.58% | 6.85% |
G.R. (2010-35) | 7.99% | 7.59% | 7.74% | 8.22% | 7.73% | 8.78% | 8.02% | 7.61% | 7.88% | 8.29% | 8.29% | 8.29% | 8.05% | 7.68% | 7.92% |
504760-01-MR 4-17 Main Report
4.5.4 Summary of Forecasts
A summary comparison of the four forecasts developed for the selected years is presented in Table 4-13 below.
Table 4-13 Summary of Forecasts for Selected Years for Country
| 2010 | 2020 | 2035 | Growth Rate (2010 – 2035) |
Sales (GWh) Base Case Base Case with DSM Low Case High Case | 106,569 106,569 106,569 106,569 | 254,105 254,105 217,348 280,299 | 737,860 737,860 551,314 916,155 | 8.1 % 8.1 % 6.8 % 9.0 % |
Generation (GWh) Base Case Base Case with DSM Low Case High Case | 139,954 139,954 139,954 139,954 | 306,797 306,797 262,518 338,663 | 889,583 889,583 665,210 1,106,567 | 7.7% 77% 6.4 % 8.6 % |
Peak Demand MW Base Case Base Case with DSM Low Case High Case | 22,251 22,251 22,251 22,251 | 49,824 49,146 42,612 54,998 | 149,665 144,779 111,906 186,228 | 7.9% 7.8% 6.7% 8.9% |
The detailed summary comparison is shown in Table 4-14.
Table 4-14 Summary of Forecasts
YEARS | | Sales in GWh | | Generation in GWh | | Peak Demand in MW | |
Low | Base | DSM | High | Low | Base | DSM | High | Low | Base | DSM | High |
GWh | GWh | GWh | GWh | GWh | GWh | GWh | GWh | MW | MW | MW | MW |
| | | History | | | |
2009-10 | 90465 | 90465 | 90465 | 90465 | 118290 | 118290 | 118290 | 118290 | 17413 | 17413 | 17413 | 17413 |
2009-10 | 106569 | 106569 | 106569 | 106569 | 139954 | 139954 | 139954 | 139954 | 22251 | 22251 | 22251 | 22251 |
| | | Forecast including allowance for load shedding | | | |
2010-11 | 115510 | 115552 | 115552 | 117349 | 150319 | 150043 | 150047 | 152705 | 24112 | 23891 | 23858 | 24496 |
2011-12 | 124609 | 125283 | 125283 | 129566 | 159855 | 160695 | 160699 | 166204 | 25512 | 25648 | 25577 | 26528 |
2012-13 | 133972 | 136188 | 136188 | 143188 | 169800 | 172573 | 172577 | 181470 | 27161 | 27608 | 27494 | 29034 |
2013-14 | 143569 | 148455 | 148455 | 158259 | 179797 | 185868 | 185871 | 198193 | 28825 | 29804 | 29641 | 31784 |
2014-15 | 153914 | 162478 | 162478 | 174761 | 190481 | 201025 | 201028 | 216299 | 30607 | 32310 | 32088 | 34768 |
G.R. (2010-15) | 7.63% | 8.80% | 8.80% | 10.40% | 6.36% | 7.51% | 7.51% | 9.10% | 6.58% | 7.75% | 7.60% | 9.34% |
2015-16 | 164853 | 178048 | 178048 | 192738 | 202773 | 218935 | 218938 | 237103 | 32854 | 35485 | 35192 | 38433 |
2016-17 | 176790 | 195045 | 195045 | 212266 | 215545 | 237719 | 237722 | 258840 | 34768 | 38360 | 37993 | 41769 |
2017-18 | 189573 | 213411 | 213411 | 233348 | 229432 | 258183 | 258186 | 282464 | 37082 | 41747 | 41291 | 45673 |
2018-19 | 203103 | 233172 | 233172 | 256013 | 245309 | 281517 | 281521 | 309290 | 39732 | 45618 | 45059 | 50118 |
2019-20 | 217348 | 254105 | 254105 | 280299 | 262518 | 306797 | 306797 | 338663 | 42612 | 49824 | 49146 | 54998 |
G.R. (2015-20) | 7.15% | 9.36% | 9.36% | 9.91% | 6.63% | 8.82% | 8.82% | 9.38% | 6.84% | 9.05% | 8.90% | 9.61% |
2020-21 | 232761 | 276619 | 276619 | 306851 | 281141 | 333981 | 333986 | 370779 | 45736 | 54361 | 53548 | 60347 |
2021-22 | 249137 | 300515 | 300515 | 335484 | 300923 | 362835 | 362840 | 405410 | 49064 | 59190 | 58226 | 66132 |
2022-23 | 266429 | 325787 | 325787 | 366187 | 321808 | 393344 | 393349 | 442541 | 52588 | 64313 | 63179 | 72352 |
2023-24 | 284678 | 352378 | 352378 | 399029 | 343847 | 425440 | 425445 | 482256 | 56318 | 69719 | 68398 | 79025 |
2024-25 | 303774 | 380273 | 380273 | 433896 | 366903 | 459100 | 459104 | 524413 | 60233 | 75408 | 73881 | 86131 |
G.R. (2020-25) | 6.92% | 8.40% | 8.40% | 9.13% | 6.92% | 8.40% | 8.40% | 9.14% | 7.17% | 8.64% | 8.49% | 9.39% |
2025-26 | 323687 | 409273 | 409273 | 470763 | 390939 | 494082 | 494086 | 568978 | 64328 | 81342 | 79588 | 93668 |
2026-27 | 344434 | 439480 | 439480 | 509644 | 415972 | 530506 | 530510 | 615966 | 68609 | 87542 | 85542 | 101641 |
2027-28 | 365936 | 470636 | 470636 | 550431 | 441906 | 568058 | 568062 | 665242 | 73059 | 93959 | 91693 | 110032 |
2028-29 | 388165 | 502785 | 502785 | 593070 | 468702 | 606785 | 606789 | 716735 | 77675 | 100602 | 98049 | 118833 |
2029-30 | 411115 | 535950 | 535950 | 637527 | 496354 | 646713 | 646718 | 770400 | 82457 | 107477 | 104617 | 128039 |
G.R. (2025-30) | 6.24% | 7.10% | 7.10% | 8.00% | 6.23% | 7.09% | 7.09% | 8.00% | 6.48% | 7.34% | 7.20% | 8.25% |
2030-31 | 435821 | 571441 | 571441 | 685629 | 526122 | 689431 | 689435 | 828461 | 87617 | 114852 | 111654 | 138026 |
2031-32 | 462070 | 609187 | 609187 | 737206 | 557741 | 734847 | 734851 | 890700 | 93114 | 122716 | 119150 | 148763 |
2032-33 | 489943 | 649355 | 649355 | 792517 | 591309 | 783162 | 783166 | 957430 | 98966 | 131105 | 127138 | 160309 |
2033-34 | 519701 | 692210 | 692210 | 852128 | 627146 | 834697 | 834701 | 1029342 | 105231 | 140080 | 135673 | 172787 |
2034-35 | 551314 | 737860 | 737860 | 916155 | 665210 | 889583 | 889583 | 1106567 | 111906 | 149665 | 144779 | 186228 |
G.R. (2030-35) | 6.04% | 6.60% | 6.60% | 7.52% | 6.03% | 6.58% | 6.58% | 7.51% | 6.30% | 6.85% | 6.71% | 7.78% |
G.R. (2010-35) | 6.79% | 8.05% | 8.05% | 8.99% | 6.43% | 7.68% | 7.68% | 8.62% | 6.67% | 7.92% | 7.78% | 8.87% |
The peak demand forecasts for the combined PEPCO and KESC systems for the different scenarios considered is shown in Figure 4-1 below:
Figure 4-1 Summary of Forecast Results (MW) – PEPCO and KESC
5 FUEL SUPPLY, PORT HANDLING AND FUEL PRICING
5.1 Introduction
The key objective of this section is to provide an assessment of the fuel supply and demand situation and the fuel supply infrastructure in Pakistan. This assessment is based on the information gathered during visits to the gas companies and ports, as well as information obtained from secondary sources, such as available reports and websites. The current situation with respect to all the major fuels, namely natural gas, oil and coal along with the plans to enhance the supply of various fuels and the steps being taken to implement these plans are also presented.
As the capacity of ports to handle the fuel supply is an important factor for the assessment of the fuel supply infrastructure, this section also provides information on the current capacity of various ports to handle the fuel and the plans to enhance this capacity. The scope of this work is restricted to the review of the fuel supply infrastructure/port handling facilities and specific recommendations for the development of fuel supply infrastructure and port handling facilities as it is outside the scope of the mandate.
Considering that the analysis of prices of various fuels is an important subject with regard to the development of the power sector and this analysis of the current pricing of various fuels and fuel price projections is also included in this section.
A detailed analysis on the supply of fuel, its infrastructure and pricing is provided in Annexure 1 along with a list of sources consulted.
5.2 Fuel Supply
5.2.1 Natural Gas
Domestic Gas Production
Presently there are 14 gas production companies operating in Pakistan producing a total of a little over 4,000 MMcfd[1](million cu-ft per day). There are 10 major gas production fields and several smaller ones. Unless there are new discoveries, domestic supply of gas is expected to decline while the demand for gas by all sectors is increasing. There are already load management measures currently in effect.
A number of options are being considered to enhance the supply of gas. These include:
- Enhancing the domestic production;
- Import of gas from Iran;
- Import of gas from Turkmenistan;
- Import of gas from Qatar; and
- LNG Imports.
Options for the import of gas are described in the following section.
SNGPL has declared that some gas reserves have been discovered in the Khyber PakhtunKhawa (KPK) province with a current potential estimated to be 350 MMcfd. Efforts need to be made to obtain a more accurate estimate of the gas reserves and to tap this source for enhancing the domestic supply of gas. In addition, infill drilling technology can be used on the existing gas fields in order to recover more gas from existing gas reservoirs for an estimated 500 MMcfd of gas using this method.
Concerted and well-planned efforts need to be made to review the different options of gas supply and decisions for the implementation of these options should made quickly so that the situation of gas supply in the country can be improved.
The current policy of the prioritization of gas supply to different sectors also needs to be reviewed. Currently, the policy allows gas allocation according to the following priority:
- Domestic and commercial sectors;
- Fertilizer industry;
- Power generation having FSAs (Fuel Supply Agreement);
- Industry and CNG;
- Other power plants; and
- Cement industry
The above policy shows that gas allocation for the power sector has a relatively low priority. This policy needs a review considering the added value of gas for its utilization in different sectors.
Options for Import of Gas
Considering that the indigenous sources for the supply of natural gas would not be sufficient to meet the growing requirements of natural gas, a number of options for the import of gas are being studied / implemented. For the time being, these include:
- Import of gas from Iran;
- Import of gas from Turkmenistan; and
- Import of gas from Qatar.
Import of gas from Iran to the tune of 750 MMcfd is the option which is at a relatively advanced stage and if implemented will circumvent the shortage of the gas supply to a certain extent. The work on the Iran-Pakistan line is underway and the project is expected to be completed by 2015. The gas pipe line would enter Pakistan from Gwader area and would terminate at Nawabshah. According to the plans, the imported gas from Iran will mainly be used for power generation and initial estimates suggest that it could be used to generate about 5,000 MW generation capacity.
The import of gas from Turkmenistan via Afghanistan is the other import route that is being considered. In this regard recent contacts between the governments of the participating countries were made and the necessary agreements have been signed. The participating countries include Turkmenistan, Afghanistan, Pakistan and India. The project is known as TAPI project and its estimated cost is US $ 7.6 billion. The gas pipe line is envisaged to provide 38 million cu-m per day to Pakistan and India. This is equivalent to 1,342 MMcfd. According to the agreements signed recently, its completion is expected in 2014. However, the geo-political risks regarding the implementation of the project should not be ignored, which might hinder or delay the planned implementation of the project.
A submarine pipeline from Qatar is the other option that was under consideration for the import of gas in the 1990s. According to the plans, Pakistan was supposed to import 2,400 MMcfd from Qatar through a pipeline link of about 1,700 km. Most of the proposed link was offshore. However, this plan never materialized and for the time being is not being actively considered. According to the reports, Qatar has also expressed its inability to provide such a large quantum of gas. An alternative option that has been considered in the recent past is the import of LNG from Qatar. According to the information available, import of 1.5 million tonnes of LNG is under consideration, which is equivalent to 200 MMcfd. This gas is proposed for use by the power sector.
Gas Transportation and Distribution
Currently there are two gas transportation and distribution companies, namely Sui Southern Gas Company limited (SSGCL) and Sui Northern Gas Pipelines Limited (SNGPL). These companies are also involved in the marketing of gas.
SSGCL has the responsibility for the southern part of the country including Sind and Baluchistan provinces. The total transmission capacity of the SSGCL network is 1,643 MMcfd. Its distribution system is quite extensive and covers over 4,200 km. Its design capacity is 2,442 MMcfd (SSGC website).
SSGCL accounts for about 30% of the total gas supply in the country. According to the Pakistan Oil Report by OCAC the gas supplied by SSGCL during the year 2009-10 was 1,065 MMcfd. Of the 1,065 MMcfd of total gas supply, the share of the supply to the power sector was about 30%.
SNGPL transmission system extends from Sui in Baluchistan to Peshawar in KhyberPakhtunkhwa and passes though Punjab. It accounts for about 48% of the gas supply. In year 2009-10, SNGPL gas supplies were 1812 MMcfd as reported in the Pakistan Oil Report by OCAC.
Both SSGCL and SNGPL currently supply a combined volume of 2,945 MMcfd, which is equivalent to 78% of the total gas supply. The remaining 22% of the gas supply is transported by various independent systems. The total gas transportation infrastructure consists of about 11,000 km of transmission line and approximately 102,000 km of gas distribution lines. The appropriate compression system is in place to facilitate the transportation of gas over long distances.
5.2.2 Fuel Oil
Fuel Oil Production and Imports
The oil reserves in the country that are recoverable are 314 million barrels, which is equivalent to 42 MTOE (million tons of oil equivalent). The current production in the country is about 66,000 bbl/day[2].
The domestic oil production in the country is not sufficient to meet the growing requirements for fuel in the country. Therefore, the country is dependent on the import of fuel to meet the demand of fuel and to bridge the gap between the demand and supply. About 84% of the total oil requirements are imported.
The total crude oil production in the country in the year 2008-09 was 3.2 MTOE while the imports in the country were 18.4 MTOE, out of which 8.3 MTOE were crude oil imports and 10.1 MTOE were Product imports[3].
OGDCL has the largest production of crude oil in the country followed by BP and PPL. In the year 2008-09, OGDCL’s crude oil production was 40,485 bbl/day, while the crude oil production by BP and PPL was 9,745 bbl/day and 4,696 bbl/day respectively. The two main fuels used in the country are high speed diesel (HSD) and fuel oil. HSD is mainly used in transportation while fuel oil is used for power generation. As domestic production and refining capacity are insufficient to meet the domestic demand, 4.4 million tonnes of HSD and 5.1 million tonnes of fuel oil were imported in the financial year 2008-09[4].
Petroleum Products Consumption, Refining and Marketing
The biggest consumption of petroleum products takes place in the transportation sector followed by the power sector. Fuel oil consumption in the power sector in the years 200607, 2007-08 and 2008-09 was 6.74 million tonnes, 7.08 million tonnes and 7.57 million tonnes respectively.
There are 7 refineries in the country with a total refining capacity of about 13.887 million tonnes per year as reported in Pakistan Oil Report by OCAC. The refining capacity in the country is able to cater for about half of the total demand, while the remaining demand is met by the oil imports.
The key marketing company which supplies oil to both the transportation and power sectors is Pakistan State Oil (PSO) which enjoys a market share of 70%. In addition to PSO, the other marketing companies include Shell, Caltex, Attock Petroleum Limited, BPPL, HASCOL, ASKAR and OOTC Land Total-PARCO. These companies are free to import oil to meet the local demand.
5.2.3 Coal
Coal Reserves and Production
Making use of the available coal resources for power generation and meeting the growing energy needs of the country is one of the cornerstones of the power policy. The total coal resources of Pakistan are estimated to be 185 billion tonnes[5].
The total estimated reserves of Thar coal are 175 billion tones and are spread over a geographically contained area of about 9,000 sq.km. The other major fields in Sindh are Lakhra, Sonda-Jherruck and Indus East. The coal reserves in these fields are estimated to be 1,328 million tonnes, 5,523 million tonnes, and 1,777 million tonnes respectively.
Thar coal field has the potential of generating about 100,000 MW based on the assumption of 536 million tonnes of coal production per year. While the potential of power generation of Lakhra and Sonda fields are 1,000 MW and 500 MW respectively. These are based on coal consumption of 4.60 million tonnes per year and 2.3 million tonnes per year respectively. Other coal fields have the potential of generating 25 – 50 MW of power. This fuel source for power generation could contribute hugely to the security and diversity of indigenous fuel supply for power generation[6].
According to the Energy Yearbook, the production of coal in 2008-09 was 3.37 million tones (MT) while 4.65 MT was imported.
Apart from the power sector, the main consumers of coal are the cement industry, steel industry and brick-kiln industry. In the year 2008-09, the power sector consumed only 1.3 % of the total supply of coal[7].
5.3 Capacity of Ports and Fuel Logistics
The major ports in the country include Karachi Port and Port Qasim. These ports located at Karachi serve as the major hub for the import and export of commodities. Both the ports have the facilities to handle fuel oil as well as coal.
Karachi Port Trust
KPT is the main port that deals with the imports and exports of liquid bulk cargo and dry bulk cargo. KPT handled imports of bulk liquid cargo of about 9.84 million tonnes in the year 2009-10. The imports of crude oil, diesel and furnace oil handled by the port in the year 2009-10 were 6.12 million tonnes, 0.6 million tonnes and 1.17 million tonnes respectively. Currently KPT has the capacity to handle 24 million tonnes of all types of fuels. Currently the capacity of KPT to handle liquid cargo is under-utilized and less than half of the available capacity is being used. KPT has plans to increase the fuel handling capacity to 28 million tonnes per annum in the future, however considering that its present capacity is underutilized, there are no immediate plans to enhance this capacity. KPT also has the storage capacity of 1 million tonnes of liquid fuel. There are no plans to increase this storage capacity.[8]
With regards to the handling of coal, KPT handled the import of 3.65 million tonnes of coal in the year 2009-10. The available capacity to handle coal is 4 million tonnes per annum. It has no plans to enhance this capacity as the Port Qasim Jetty is planned to be utilized for coal handling. KPT also has the storage facility for 0.7 million tonnes of coal.
KPT has also signed an MOU with PSO for laying a fuel oil pipeline from Keamari to Korangi[9].
Port Qasim Authority
Port Qasim, the second busiest port in the country handling about 40% of the nation’s cargo (17 million tonnes per year) is located near Karachi at a distance of 35 km from the city centre.
At Port Qasim, the terminal that deals with the handling of fuel oil is FOTCO (Fauji Oil Terminal and Distribution Company) is capable of handling 9 million tonnes of furnace oil per annum (750,000 tonnes per month) with a growth potential to handle more than 27 million tonnes with three additional berths. HSD and crude oil are also imported at FOTCO terminal after commissioning of the PAPCO oil pipeline. The facility mainly comprises a jetty capable of handling up to 75000 DWT vessels, product pipelines, loading arms and a 4 km long trestle that connects the jetty with the shore. The terminal has the capability to berth tankers with 63,000 tonnes ship-load. For liquid fuel storage, 77 acres of land has been earmarked.
FOTCO has a capacity to handle 15 tankers per month. Infrastructure limitations of FOTCO restrict the large size vessels. However, due to inadequate port and storage facilities at other terminals belonging to KPT and PQA, it is expected that 20-23 cargoes per month will be handled at FOTCO which will result in congestion at the FOTCO terminal. The terminal is designed to cater for four additional berths and four product pipelines to meet the current and future fuel handling requirements of the country.
There is a separate Iron Ore and Coal berth that deals with the imports of coal. The design capacity of the berth is 3.36 million tonnes per annum. The berth has a handling capacity of 1400 tonnes per hour. Currently vessels of 55,000 tonnes payload are being handled here.
PQA has developed plans to increase port parameters to accommodate larger vessels to benefit from economies of scales, and to build additional berths/terminals. Some of the development projects relevant to fuel handling include establishment of an LPG terminal and coal & clinker/cement terminal[10].
Fuel Logistics
The transmission and storage network for fuel oil adequately covers most of the major cities as well as remote areas. A pipeline network of about 2000 km exists for supplying crude oil as well as refined fuel products. The crude oil pipeline belongs to PARCO, while the pipelines for the refined products are owned by PAPCO, Shell, PSO and other oil companies.
The rail road capacity to transport oil is presently 1.2 million tonnes/annum. This is about 4,000 MT/day. As the railroad capacity is not sufficient, a significant quantity of oil is transported up-country through road tankers. Currently about 4 million tonnes of fuel oil per annum is being transported by road tankers[11].
Among the fuel oil suppliers, PSO is the largest supplier of fuel oil to the power generation sector. It has a relatively large fuel oil logistic capacity. Its capacity to transport oil by pipelines, road and rail is 5 million tonnes/year, 6.5 million tonnes/year and 1.5 million tonnes/year respectively.
As regards the future strategy to supplement the existing storage and transportation capacities for fuel oil, a number of measures have been planned. These include:
- PSO and KPT plan to connect the Port Qasim with Karachi Port via a 52 km pipe line;
- Enhancement of port infrastructure to handle increased number of vessels;
- Agreement between Pakistan Railways and PSO to increase the railroad capacity from 120,000 MT/month to 250,000 MT per month; and
- Up-gradation of storage and transportation infrastructure.
5.4 Pricing of Fuels
The current fuel prices, transportation and handling costs and the projection of future fuel prices are presented in this section. Full references to data sources, the basis of cost computation and detailed analyses are presented in Annexure 1.
Current Fuel Pricing
The current prices of various types of fuel are provided in Table 5-1. The prices presented represent both the domestic and international fuels.
Table 5-1 Current Fuel Prices
Fuel | Price | Unit |
Crude Oil (imported) | 80 | $ / bbl |
Domestic Gas | 400 | Rs / MMBtu |
LNG (imported) | 7.95 | $ / MMBtu |
Furnace Oil | 506.89 | $ / M.ton |
Diesel | 60.77 | Rs / litre |
Imported Coal | 115 | $ / M.ton |
Nuclear Fuel (U3O8) | 50 | $ / lb |
Source: Based on data from Energy Information Administration, International Energy Agency, Platts, OGRA, WAPDA and PSO
Fuel Transportation & Handling Costs
Power sector fuels may be transported by road, rail, or pipeline. Historically, coal and fuel oil are primarily transported by rail and road, natural gas is transported by pipeline, and diesel is transported by pipeline and road. Table 5-2 shows the current costs for the various modes of fuel transport.
Table 5-2 Fuel Transportation Costs
Mode of Transport | Cost | Unit |
Road | 3.50 | Rs / M. Ton / km |
Rail | 2.20 | Rs / M. Ton / km |
Pipeline (Gas) | 0.00116 | $ / MMBtu / km |
Pipeline (Liquid) | 0.01029 | $ / m3 / km |
LNG Shipping | 0.52 | $ / MMBtu |
Source:Based on data from Platts, and OGRA and calculation of SNC-Lavalin Inc.
The port handling costs for crude oil and other liquid petroleum products, LNG and coal are provided in Table 5-3. These costs are considered to remain fixed in 2010 dollars up to the year 2030.
Table 5-3 Fuel Handling Costs at Port
Fuel | Price | Unit |
Imported Crude Oil | 10.18 | $ / M. ton |
Imported LNG | 0.35 | $ / MMBtu |
Imported Furnace Oil | 8.82 | $ / M.ton |
Imported Diesel | 1.06 | Rs / litre |
Imported Coal | 3.00 | $ / M.ton |
Source:Based on data from NEPRA, EIA and calculation of SNC-Lavalin Inc.
Future Fuel Price Projections
Many agencies project future fuel prices – the notable ones are Energy Information Administration (EIA), International Energy Agency (IEA) and Platts. In general, these projections take into account the world economy, supply and demand situation, market volatility and political considerations. The long-term fuel price forecasts for different fuels in mixed units are provided in Table 5.4.
Table 5-4 Long-Term Fuel Price Forecasts to the Year 2030 (Mixed Units)
Fuel | Unit | Current 2010 | Projection | |
2015 | 2020 | 2025 | 2030 |
Crude Oil | $ / bbl | 80 | 95.73 | 109.67 | 116.56 | 125.08 |
Imported Natural Gas | $ / MMBtu | 9.25 | 10.59 | 11.87 | 12.50 | 13.28 |
Imported LNG | $ / MMBtu | 7.95 | 13.22 | 13.97 | 14.68 | 16.83 |
Furnace Oil (HSFO) | $ / MT | 506.89 | 511.11 | 585.51 | 622.33 | 667.81 |
Furnace Oil (LSFO) | $ / MT | 557.58 | 562.22 | 644.06 | 684.57 | 734.59 |
Diesel | Rs. / Ltr | 60.77 | 66.42 | 75.89 | 80.58 | 86.37 |
Imported Coal | $ / MT | 115 | 147.39 | 164.50 | 151.28 | 139.90 |
Thar Coal (Mined) | $ / MT | 43.86 | 43.86 | 43.86 | 43.86 | 43.86 |
Thar Syngas (UCG) | $ / GJ | 2.71 | 2.71 | 2.71 | 2.71 | 2.71 |
Nuclear Fuel ( U3O8) | $ / lb | 50 | 80 | 60 | 60 | 60 |
Source: Based on data from EIA, Pakistan Energy Yearbook 2009, and ISGS (Inter State Gas Systems), IEA, Notes: All prices are at 2010 price levels
The Thar coal costs above have been derived from the Rheinbraun Engineering 2004 feasibility study, escalated to 2010 price levels. For the generation planning analysis, Thar coal has been priced such that the cost of power from a plant using Thar coal would be equivalent to the cost of power from a coastal plant using imported coal.
The fuel prices in $/MMBtu are provided in Table 5-5. The computational basis of these price forecasts are provided in Annexure 1.
Table 5-5 Long-Term Fuel Price Forecasts to the Year 2030 ($/MMBtu)
Fuel | Unit | Current 2010 | Projection | |
2015 | 2020 | 2025 | 2030 |
Crude Oil | $/MMBtu | 13.75 | 16.46 | 18.85 | 20.05 | 21.51 |
Imported Natural Gas | $/MMBtu | 9.26 | 10.60 | 11.87 | 12.51 | 13.29 |
Imported LNG | $/MMBtu | 7.96 | 13.23 | 13.98 | 14.68 | 16.84 |
Furnace Oil (HSFO) | $/MMBtu | 12.48 | 12.57 | 14.41 | 15.32 | 16.44 |
Furnace Oil (LSFO) | $/MMBtu | 13.72 | 13.84 | 15.85 | 16.85 | 18.07 |
Diesel | $/MMBtu | 19.84 | 21.68 | 24.78 | 26.31 | 28.20 |
Imported Coal | $/MMBtu | 4.83 | 6.19 | 6.91 | 6.36 | 5.88 |
Thar Coal (Mined) | $/MMBtu | 3.99 | 3.99 | 3.99 | 3.99 | 3.99 |
Thar Syngas (UCG) | $/MMBtu | 2.86 | 2.86 | 2.86 | 2.86 | 2.86 |
Nuclear Fuel ( U3O8) | $/MMBtu | 0.23 | 0.36 | 0.27 | 0.27 | 0.27 |
Source:Based on data from EIA, Pakistan Energy Yearbook 2009, and ISGS (Inter State Gas Systems)
The data presented in the above table illustrates that the prices of various types of liquid fuels and natural gas are envisaged to increase over the planning period. The price of imported coal is projected to increase till 2020, and after then it is projected to decline slightly based on the coal price projections by EIAC (Energy Information Administration, USA).
The current fuel transportation infrastructure needs to be examined in light of the changing requirements of all types of fuel. This has implications on the development of current rail, port and road infrastructure. The generation planning section provides details of the level of each fuel type that will be required for the current plan which serves as a key input to any infrastructure policy and plan that will need to be developed at the national level. In case of fuel availability restrictions and inadequate development of fuel supply infrastructure, revisions would possibly be required in the generation plan.
6 GENERATION PLANNING
6.1 Introduction
The key objective of the generation expansion planning activity was to develop a long range least-cost generation expansion plan for Pakistan for the period 2011-12 to 2029-30 to meet the maximum load demand and energy consumption whilst taking into account government policies and identified constraints.
This section describes the key parameters and results of the generation planning study and is structured as follows:
- Strategic and Policy Considerations;
- General Approach and Methodology;
- Planning Basis;
- Review of the Existing and Committed System;
- Generation Options Available and Screening;
- Scenarios Considered for Generation Expansion;
- Development and Analysis of the Base Case Expansion Plan;
- Comparison of the Base and Alternative Cases;
- Sensitivity Analysis for the Base Case; and
- Conclusions.
6.2 Strategic Considerations
In order to develop an effective generation plan that will meet the power needs of the country, both the strategic considerations and constraints faced by Pakistan have to be taken into account. In developing the National Power System Expansion Plan (NPSEP) careful consideration has been given to the Government of Pakistan (GoP) policy guidelines as well as fuel and infrastructure constraints that affect the power sector development.
As outlined in their document “Policy for Power Generation Projects Year 2002” the GoP Power Policy has three key objectives as listed below:
- To provide sufficient capacity for power generation at the least cost, and to avoid capacity shortfalls;
- To encourage and ensure exploitation of indigenous resources, which include renewable energy resources; and
- To be attuned to safeguarding the environment.
The GoP has two other policy documents that impact on the development of power system expansion plans. The Natural Gas Allocation and Management Policy 2005 states that, as part of their demand management policy, “Power Plants would get gas supply after meeting the requirements of domestic, commercial, fertilizer and industrial sectors”. The demands of these other sectors are increasing rapidly, thus the availability of domestic gas for future power plants is likely to be limited. The Policy for Development of Renewable Energy (RE) for Power Generation 2006 mentions as a target to “Increase the deployment of renewable energy (defined as wind, solar and small – less than 50 MW – hydro) technologies so that RE provides a minimum of 9,700 MW by 2030”.
Pakistan faces several constraints as it strives to meet its current and expected power demand. Perhaps the most significant constraint is the scarcity of capital, which has affected not only power sector development but also the development of other infrastructure critical to power sector development.
In the short term the main focus has been the reduction of load shedding, and this focus has often taken attention away from an optimum long term growth strategy. it is accepted that it will probably take several years for the target reliability level of 1 % Loss of Load Probability to be achieved. The short term focus is on rehabilitation of existing plants, on demand side management, and the implementation of fast track projects to reduce load shedding.
In the long term, it is assumed that the GoP’s policy will continue to focus on the development of indigenous resources, particularly Tharparkar coal and hydro projects, as well as increasing the use of renewable resources and keeping power tariffs at affordable levels. Also barring major gas discoveries, the GoP policy of allocating gas will remain unchanged and future gas based power generation will be based on imported gas or LNG.
The development of the Base Case described later in this section has taken the foregoing policy guidelines, and the least cost approach into consideration. Also considered are fuel availability, infrastructure and other constraints.
6.3 Approach and Methodology
The development of the least cost generation plan is the process of optimizing the additions of generation supply options in order to determine the optimal development sequence, which would meet the projected demand and would satisfy the specified reliability criteria.
The first step was to review the existing and committed system, and to review the range of generation addition options available to meet the future demand. The next key step was to determine the economically attractive generation options and generation mix using simplified screening curves. The purpose of the screening curves was to compare the unit cost of different plants at different plant factors. The Base Case and Alternative Cases to be analysed were then defined. The last step was the development of the least cost plan under the Base Case and alternative scenarios using the System Planning and Production Costing Software (SYPCO).
6.4 Planning Basis
In order to ensure that all the developed scenarios met uniform requirements in terms of performance and to also enable all the scenarios to be compared on a similar technical basis, specific planning criteria was adopted. These criteria are summarized in Table 6-1 below and are discussed in detail in Annexure 2.
Table 6-1 Planning Criteria
Crit | eria |
Loss of Load Probability (LOLP) | Up to 2018-2020 5 to 10% 2020-21 onwards 1% |
Discount Rate | 10% Real |
Reference Year | All costs expressed at 2010 price levels |
Cost of Unserved Energy | Approximated by the cost of power from the most expensive unit in the system |
Fuel Pricing | Based on imported fuel equivalents |
Economic Life: | |
• Gas Turbines | 20 yrs |
• Combined Cycle Plants | 25 yrs |
• Steam Plants | 30 yrs |
• Nuclear Plants | 40 yrs |
• Hydro Plants | 50 yrs |
Load Profile and Forecast
Analysing annual hourly load profiles is an important aspect of generation planning to capture the hourly and seasonal variation in the load. The hourly loads are used to construct the monthly load duration curves which are one of the key inputs to generation planning. The historical monthly load duration curves are used for planning the future years. The assumption is that the future monthly/seasonal load variations would be very similar to the past ones. However, the historical load duration curves in the recent years cannot be directly used for future years since these curves are restricted by supply availability. Therefore it is necessary to have information on unrestricted monthly load patterns and hourly load profiles to represent the future years. After reviewing the historical data and previous studies,
2003-04 was selected as it had no planned load shedding and very little adjustment was required for unexpected load shedding.
The load forecast developed for the NPSEP forecast is based on multiple regression techniques, and considers three scenarios – low, normal, high and another case where the normal forecast is adjusted for demand side management (DSM) measures. The load forecast is presented in Section 4 of this Report.
Fuel Pricing
The prices for different fuels is one of the critical inputs for developing the least cost generation plan since the quantum of fuel used and its cost has a significant impact on the economic attractiveness of the thermal candidate units. The fuel price forecast for the study period is summarized in Table 6-2.
Table 6-2 Summary of Fuel Price Forecast to 2030
Fuel | Unit | Current 2010 | | Projection | |
2015 | 2020 | 2025 | 2030 |
Crude Oil | $/MMBtu | 13.75 | 16.46 | 18.85 | 20.05 | 21.51 |
Imported Natural Gas | $/MMBtu | 9.26 | 10.60 | 11.87 | 12.51 | 13.29 |
Imported LNG | $/MMBtu | 7.96 | 13.23 | 13.98 | 14.68 | 16.84 |
Furnace Oil (HSFO) | $/MMBtu | 12.48 | 12.57 | 14.41 | 15.32 | 16.44 |
Furnace Oil (LSFO) | $/MMBtu | 13.72 | 13.84 | 15.85 | 16.85 | 18.07 |
Diesel | $/MMBtu | 19.84 | 21.68 | 24.78 | 26.31 | 28.20 |
Imported Coal | $/MMBtu | 4.83 | 6.19 | 6.91 | 6.36 | 5.88 |
Thar Coal (Mined) | $/MMBtu | 3.99 | 3.99 | 3.99 | 3.99 | 3.99 |
Thar Syngas (UCG) | $/MMBtu | 2.86 | 2.86 | 2.86 | 2.86 | 2.86 |
Nuclear Fuel ( U3O8) | $/MMBtu | 0.23 | 0.36 | 0.27 | 0.27 | 0.27 |
Notes:All prices are in 2010 US$
These fuel price projections are based on the Annual Energy Outlook (2010) prepared by the Energy Information Administration (EIA) and other sources, and restated in 2010 price levels. Details are given in Section 5 of this Report. In Table 6-2, the handling cost for imported coal and furnace oil (LSFO) were estimated based on the costs used in NPP 1994 (US$ 10/ton for imported coal and US$ 1.5/barrel for oil) escalated by 3% each year considering both the impacts of inflation and the advancement of the technologies. The handling costs were added to the price of imported coal and oil for screening curve analysis and generation production costing.
Given the shortage of supply of indigenous fuels, it is likely that at the margin petroleum products and gas will need to be imported for future power plants. Thus pricing for petroleum products and gas have been based on their imported equivalents.
Although Thar coal would be produced domestically, currently there is insufficient information to base firm mining costs on. Thar coal has been priced such that the cost of power generated at Thar using Thar coal would be equivalent to the cost of power from a coastal plant using imported coal. Based on this analysis, Tharparkar coal would need to be priced at or below $ 56 / MT in the first year, or $70 / MT on average over the life of the generating plant. The breakeven analysis is shown in Table 6-3.
Table 6-3 Breakeven Price for Tharparkar Coal
| Coastal Plant Burning Imported Coal | Mine-Mouth Plant Burning Tharparkar Coal |
Capacity | 600 MW | 600 MW |
Capital Cost | $1,850 / kW | $ 2,050 / kW |
Fixed O&M | $ 30 / kW / yr | $ 35 / kW / yr |
Variable Cost | $ 3 / MWh | $ 3.6 / MWh |
Plant Efficiency | 37.5 % | 36.9 % |
Capacity Factor | 70 % | 70 % |
Delivered Coal Price (Avg) | $ 6.99 / MMBtu $ 166 / MT | $ 6.35 / MMBtu $ 70 / MT |
Cost of Power (Avg) | 10.8 ¢ / kWh | 10.8 ¢ / kWh |
Delivered Coal Price (First Year Price) | $ 5.68 / MMBtu $ 135 / MT | $ 5.14 / MMBtu $ 56 / MT |
Heat Content | 23.8 MMBtu / ton | 11.0 MMBtu / ton |
The premise is that the Tharparkar coal should be priced such that the cost of power from a mine – mouth plant is competitive with the cost of power from a plant located on the coast burning imported coal.
Environmental Criteria
The environmental criteria for the NPSEP are presented in Section 3 of this Report.
The emission requirements for power plants have been based on the National Environmental Quality Standards (NEQS) of Pakistan. The emission requirements pertain to Particulates, Nitrogen Oxides, Sulphur Dioxide, Liquid Effluents and Solid Wastes. The NPSEP has included in its cost estimates water treatment equipment for all plants, Flue Gas Desulphurisation equipment for coal fired plants and has used Low Sulphur Fuel Oil for oil fired plants.
The range of adverse environmental and related social impacts that can result from hydro dams is remarkably diverse. Twenty seven hydroelectric projects have been considered in the NPSEP. Of these, eighteen projects have undergone thorough feasibility studies. Eleven of the eighteen projects have feasibility studies which are more than three years old and need updating. Nine projects are at initial stages and their feasibility studies have not yet been started. For those projects that have been studied to feasibility level and for which environmental cost estimates are available, these environmental cost estimates have been escalated to 2010 price levels. For those projects which have not been studied to feasibility level and for which environmental cost estimates are not available, an approximation has been made. The approximation is based on information for those projects for which the required information is available. For example, the environmental cost as a percentage of total project cost averaged over all those projects for which information is available is applied to those projects for which the total project cost is available but the environment cost is not. These costs are shown in Table 6-11 of Section 6.7.
6.5 Existing and Committed Units
The total installed capacity of existing hydro and thermal generation units for the PEPCO and KESC systems including IPPs is about 21,455 MW as at the end of 2010. However, due to the seasonal variation of water inflows for hydro plants and the capacity de-rating of thermal units, the dependable capacity for the systems are estimated to be 15,254 during winter. The installed capacity of hydro plants accounts for about 31%, thermal capacity for 67%, and nuclear capacity less than 2%. The total installed capacity from IPPs is about 38% of the total installed capacity. This breakdown is shown in Figure 6.1:
Figure 6-1 Installed Capacity in 2010
6.5.1 Existing Hydro Plants
The total existing hydro capacity in the country is 6,555 MW. However, due to the seasonal variation of water inflows, the existing hydrol plants can only provide 2,414 MW dependable capacity during winter. The summary of existing hydro plants is provided in Table 6-4. Table 6-4 Summary of Existing Hydro Plants
Type | Nominal Capacity (MW) | Capacity in Winter (MW) |
WAPDA Hydro Plants | 6,444 | 2,303 |
IPPs | 111 | 111 |
Total Hydro Capacity | 6,555 | 2,414 |
The detailed information of the existing hydro plants is provided in Annexure 2.
6.6 Existing Thermal Plants
The existing thermal plants in the country are owned by PEPCO, KESC and IPPs. Table 6-5 provides a summary of the status of existing thermal plants in the system as at the end of 2010.
Table 6-5 Summary of Existing Thermal Capacity
Type | Nominal Capacity (MW) | De-rated Capacity* (MW) |
PEPCO total (excluding nuclear) | 4,829 | 3,580 |
IPPs serving PEPCO | 7,475 | 6,909 |
Rental units | 113 | 113 |
Nuclear - PEPCO system | 325 | 300 |
Total Thermal – PEPCO system | 12,742 | 10,902 |
KESC Thermal | 1,655 | 1,463 |
Nuclear – KESC System | 136 | 122 |
IPP serving KESC | 367 | 353 |
Total Thermal – KESC system | 2,158 | 1,938 |
Total Thermal Capacity | 14,900 | 12,840 |
*De-rated capacity = Gross dependable capacity
The detailed information of the existing thermal plants is provided in Annexure 2.
The plant-wise information of existing thermal units and existing hydro units under public and private sectors for the PEPCO system is presented in Table 6-6.
Table 6-6 Existing Generation Capacity of PEPCO System
| No. | Name Of Power Station | Fuel | Installed Capacity (MW) | Capability* (MW) |
Summer | Winter |
| | 1 | Tarbela | | 3,478 | 3,521 | 1,101 |
2 | Mangla | | 1,000 | 1,014 | 409 |
3 | Ghazi Barotha | | 1,450 | 1,405 | 580 |
4 | Warsak | | 243 | 171 | 145 |
5 | Chashma Low Head | | 184 | 91 | 48 |
6 | Small Hydros | | 89 | 64 | 20 |
| Sub-Total (WAPDA Hydro) | | 6,444 | 6,266 | 2,303 |
| 7 | TPS Jamshoro #1-4 | Gas/FO | 850 | 700 |
8 | GTPS Kolri #1-7 | Gas | 174 | 140 |
| Sub-Total GENCO-I | | 1,024 | 840 |
9 | TPS Guddu Steam #1-4 | FO | 640 | 270 |
10 | TPS Guddu C.C. #5-13 | Gas | 1,015 | 885 |
11 | TPS Quetta | Gas | 35 | 25 |
| Sub-Total GENC0-II | | 1,690 | 1,180 |
12 | TPS Muzaffargarh #1-6 | Gas/FO | 1,350 | 1,130 |
13 | NGPS Multan #1&2 | Gas/FO | 195 | 60 |
14 | GTPS Faisalabad #1-9 | Gas/HSD | 244 | 210 |
15 | SPS Faisalabad #1&2 | FO | 132 | 100 |
16 | Shahdra G.T. | Gas | 44 | 30 |
| Sub-Total GENC0-III | | 1,965 | 1,530 |
17 | FBC Lakhra | Coal | 150 | 30 |
| Sub-Total GENCO-IV | | 150 | 30 |
| Sub Total GENCOs | | 4,829 | 3,580 |
| Sub Total (WAPDA+GENCOs) | | 11,273 | 9,846 | 5,883 |
| | Nuclear Plants | | | |
18 | Chashma Nuclear (PAEC) | | 325 | 300 |
| | Total Capacity (Public) | | 11,598 | 10,146 | 6,183 |
| | 19 | Jagran Hydro | | 30 | 30 |
20 | Malakand-III Hydro | | 81 | 81 |
| Sub-Total (Hydro-IPPs) | | 111 | 111 |
| 21 | KAPCO | Gas/FO | 1,638 | 1,386 |
22 | Hub Power Project (HUBCO) | FO | 1,292 | 1,200 |
| No. | Name Of Power Station | Fuel | Installed Capacity (MW) | Capability* (MW) |
Summer | Winter |
| | 23 | Kohinoor Energy Ltd. (KEL) | FO | 131 | 124 |
24 | AES Lalpir Ltd. | FO | 362 | 350 |
25 | AES Pak Gen (Pvt) Ltd. | FO | 365 | 350 |
26 | Southern Electric Power Co. Ltd. (SEPCOL) | FO | 135 | 119 |
27 | Habibullah Energy Ltd. (11C PC) | Gas | 140 | 129 |
28 | Uch Power Project | Gas | 586 | 551 |
29 | Rouch (Pak) Power Ltd. | FO | 450 | 395 |
30 | Fauji Kabirwala (FKPCL) | Gas | 157 | 151 |
31 | Saba Power Company | FO | 134 | 125 |
32 | Japan Power Generation Lid | FO | 135 | 120 |
33 | Liberty Power Project | Gas | 235 | 211 |
34 | Altern Energy Ltd, (AEL) | Gas | 31 | 31 |
35 | Attock Generation PP | FO | 163 | 156 |
36 | ATLAS Power | Gas | 219 | 219 |
37 | Engro P.P. Daharki, Sixth | Gas | 227 | 217 |
38 | Saif P.P. Shalwal, Punjab | RFO/Gas | 225 | 225 |
39 | Orient P.P. Balloki, Punjab | RFO/Gas | 225 | 225 |
40 | Nishat P.P. Near Lahore, Punjab | RFO | 200 | 200 |
41 | Nishat Chunian Proj. Near Lahore | RFO | 200 | 200 |
4 2 | Sapphire P.P. Muridke, Punjab | RFO/Gas | 225 | 225 |
| Sub-Total (Thermal IPPs) | | 7,475 | 6,909 |
43 44 | Gulf Rental RP, Gujranwala, Punj. Walters Naudero Sindh | RFO Gas | 62 51 | 62 51 |
| Sub-Total (Rental) | | 113 | 113 |
| Total Thermal (IPPs) | | 7,588 | 7,022 |
| | Total Capacity (Private) | | 7,699 | 7,133 |
| | Total Hydro (Public and Private) | | 6,555 | 6,377 | 2,414 |
| | Total Thermal (Public and Private) | | 12,742 | 10,902 |
| | Total (PEPCO System) | | 19,297 | 17,279 | 13,316 |
*De-rated capacity (MW) for Thermal Plants
The summary of existing thermal units in the KESC system is presented in Table 6-7 below:
Table 6-7 Existing Units – KESC System
No. | Plant Name | Unit Type | Number of Units | Plant Capacity | Primary |
Nominal (MW) | De-rated (MW) | Fuel Type |
| KESC Thermal | | |
1 | Bin Qasim | Steam Turbine | 6 | 6 x 210 | 1,120 | Gas/HFO |
2 | SGTPS | Reciprocating Gas Engines | 32 | 32 x 2.739 | 88 | Gas |
3 | KGTPS | Reciprocating Gas Engines | 32 | 32 x 2.739 | 88 | Gas |
4 | KCCPP | Combined Cycle GT | 4 GTs, 1 ST | 4 x 48.4 + 1x26 | 167 | Gas |
| | KESC IPP Thermal | |
5 | Gul Ahmed Energy | Engines | 9 | 128.5 | 128 | HSFO |
6 | Tapal Energy Ltd | Engines | 12 | 127 | 124 | HSFO |
7 | DHA Cogen | CC | 1 | 80 | 71 | Gas |
8 | IIL ( 19 MW) | Engines | 6 | 19 | 19 | Gas |
9 | Anoud Power | Engines | 2 Oil, 1 Gas | 12 | 12 | Gas |
10 | KANUP | Nuclear | 1 | 136 | 122 | Uranium |
| Total (KESC and IPPs) | | 2,158 | 1,938 | |
Retirement of Existing Plants
There is no retirement plan for the existing units in the PEPCO and KESC systems. For planning purposes, the following retirement schedule in Table 6-8 was used taking into account the current condition of the existing units and the typical service lifetime of unit types.
Table 6-8 Retirement Schedule of Existing Plants
Year | Plant Name | Number of Units | Unit Capacity (MW) | Plant Capacity (MW) |
2011-12 | | | | |
2012-13 | KESC Coal-Oil Conversion[12] | 2 | 176 | 352 |
2013-14 | Sumundri (Rental) | 1 | 132 | 132 |
2014-15 | | | | |
2015-16 | | | | |
| Gulf (Rental) | 1 | 60 | 60 |
| Walters (Rental) | 1 | 50 | 50 |
| Karkey (Rental) | 1 | 203 | 203 |
| Reshma (Rental) | 1 | 177 | 177 |
2016-17 | | | | |
2017-18 | | | | |
2018-19 | | | | |
2019-20 | | | | |
| Guddu, # 11, 12, 13 | 3 | 285 | 285 |
| Faisalabad GTPS, # 5,6,7,8,9 | 5 | 129 | 129 |
| KESC Gul Ahmed, all units | 9 | 14 | 122 |
| KESC Tapal, all units | 12 | 12 | 138 |
2020-21 | | | | |
| Jamshoro, # 1 | 1 | 170 | 170 |
| Jamshoro, # 2,3,4 | 3 | 164 | 492 |
| KESC Kannup, # 1 | 1 | 114 | 114 |
2021-22 | | | | |
| Shadara, # 3,4,5 | 3 | 9 | 27 |
| Kotri, # 1,2 | 2 | 9 | 18 |
| Faisalabad GTPS, # 1,2,3,4 | 4 | 18 | 72 |
| Quetta, # 1 | 1 | 25 | 25 |
| Kotri, # 3,4,5,6,7 | 5 | 120 | 120 |
| Multan, # 1,3 | 2 | 28 | 55 |
| Faisalabad SPS, # 1,2 | 2 | 46 | 92 |
| Guddu, # 1,2 | 2 | 58 | 116 |
Year | Plant Name | Number of Units | Unit Capacity (MW) | Plant Capacity (MW) |
| Guddu, # 3,4 | 2 | 147 | 294 |
2022-23 | | | | |
2023-24 | Guddu, # 5,6,7,8,9,10 | 6 | 215 | 429 |
2024-25 | Muzaffargarh. # 1,2,3,5,6 | 5 | 167 | 836 |
2025-26 | Lakhra, # 1 | 1 | 28 | 28 |
2026-27 | Kot Addu, # 1 | 1 | 244 | 244 |
2027-28 | | | | |
| KESC-Anoud, # 1,2,3 | 3 | 4 | 12 |
| Muzaffargarh, # 4 | | | 240 |
| KESC-Bin Qasim, # 1,2,3,4 | 4 | 177 | 708 |
| Kohinoor, # 1,2,3,4,5,6 | 6 | 12 | 72 |
2028-29 | KESC-IIL, # 1,2,3,4,5,6 | 6 | 19 | 113 |
2029-30 | | | | |
| KESC-SGTPS, # 1 to 32 | 32 | | 87 |
| KESC-KGTPS, # 1 to 32 | 32 | | 87 |
| Kot Addu, # 2,3,4 | 3 | 240 | 721 |
| SEPCOL, # 1,2,3,4,5,6 | 6 | 19 | 115 |
Total | | | | 6,935 |
It is important to notice that the utilization of state owned generation complexes on retirement is dependent on the policies in place. According to our understanding, there does not exist any clear policy regarding the retirement of generation plants and utilization of the generation complexes after retirement of these plants. Broadly speaking, the Regulator can play a pivotal role in the development and implementation of such policies which takes into account the technical, economic and environmental considerations.
As regards the utilization of generation complexes after retirement of the plant, the key factors that generally need to be considered are the state of cooling water and fuel supply infrastructure, and electric switchyard. In case the condition of the cooling water and fuel supply infrastructure, and electric switchyard is satisfactory, and can economically support the operation of the new generation plant for a sufficient number of years, then it might be prudent to make use of the existing plant land for developing the new generation plant. Utilizing the existing space would also result in avoidance of paying land cost and obtaining the requisite site and environmental permits. The existing transmission lines can also be used for the evacuation of power from the new plant. If the plant at a given location is retired and not replaced, additional transmission may be required in neighbouring areas to ensure reliability of supply.
Committed Hydro and Thermal Units
The following plants have been considered in the NPSEP as committed projects, based on the criterion that the projects are under construction or have reached financial close.
Hydro - Public Sector | Installed Capacity | Commissioning Year |
Mangla Dam Raising | 644 GWh[13] | 2010-11 |
Khan Khwar | 72 MW | 2010-11 |
Allai Khwar | 121 MW | 2010-11 |
Duber Khwar | 130 MW | 2010-11 |
Jinnah Barrage | 96 MW | 2010-11 |
Satpara Dam | 15.8 MW | 2010-11 |
Gomal Zam | 17.4 MW | 2011-12 |
Neelum Jhelum | 969 MW | 2015-16 |
Kurram Tangi | 83 MW | 2013-14 |
Total | 1,504 MW | |
Source: Hydro Potential in Pakistan, WAPDA, November 2010
Hydro - Private Sector | Installed Capacity | Commissioning Year |
New Bong Escape | 84 MW | 2013-14 |
Source: Letter from General Manager (WPPO) dated February 23, 2011
Thermal - Public Sector | Installed Capacity | Commissioning Year | Fuel Type |
Nandipur Power Project | 425 MW | 2011-12 | RFO |
Chashma Nuclear | 340 MW | 2011-12 | Nuclear |
UAE GT, F/Abad | 320 MW | 2012-13 | Gas |
Guddu CC Sind | 750 MW | 2013-14 | Gas |
Total | 1,835 | | |
Source: NTDC List of Future Generation Projects, GENCO (projects up to serial no. 30 are considered committed).
Thermal - IPP/Rental | Installed Capacity | Commissioning Year | Fuel Type |
Karkey Project Karachi (Rental) | 232 MW | 2010-11 | RFO |
Fauji Foundation | 202 MW | 2010-11 | Gas |
Hub Power Narowal | 225 MW | 2010-11 | RFO |
Halmore Power Bhikki | 225 MW | 2010-11 | RFO |
Reshma (Rental) | 200 MW | 2010-11 | RFO |
Santiana F/Abad (Rental) | 201 MW | 2010-11 | RFO |
Zorlu | 50 MW | 2011-12 | Wind |
Fauji Fertilizer | 50 MW | 2011-12 | Wind |
Total | 1,385 MW | | |
Sources:
NTDC List of Future Generation Projects for Rental projects
Letter from General Manager (WPPO) dated February 23, 2011 for IPPs
Status as of Feb 2011 of Projects being processed by PPIB, PPIB website
KESC | Installed Capacity | Commissioning Year | |
Bin Qasim CC | 560 MW | 2012-13 | Gas |
Retrofit Bin Qasim | 420 MW[14] | 2012-13 | Coal |
KESC Bio Waste to Energy | 25 MW | 2012-13 | Bio Waste |
Total Committed Additional Capacity | 585 | | |
Source: Data provided by KESC.
The total installed capacity of the above committed hydro and thermal plants is estimated to be 5,393 MW.
6.7 New Generation Options
The basic supply options which are available for the expansion of the generation system are coal, fuel oil, natural gas, nuclear, hydro and wind plants.
6.7.1 Hydro Projects and Screening
The candidate new hydroelectric plants are taken from the PEPCO future generation projects list issued in March 2011. These include hydro plants to be installed by both WAPDA and the IPPs. There are also hydro projects that are being promoted by the Alternative Energy Development Board (AEDB) for implementation by the provinces; but these are less than 50 MW and have not been considered in the expansion plan.
The possible commissioning schedule and capital and operational cost data of the identified new hydroelectric projects were reviewed. These projects were then ranked in terms of economic costs including their capital and O&M costs.
Identified Future Hydro Projects
In future, there will be three general groups of hydro plants:
- WAPDA will be responsible for large multi-purpose plants;
- The provinces will be encouraged to develop hydroelectric generation for their own use in plants of 50 MW installed capacity or smaller; and
- The PPIB (Private Power and Infrastructure Board) will promote the development by IPPs of all non multi-purpose hydroelectric projects, but with emphasis on small / medium sized plants larger than 50 MW.
There are twenty-three WAPDA hydro projects, totalling 37,057 MW[15], and eighteen IPP hydro projects, totalling 5,519 MW, that have been identified and proposed on the future projects list provided by NTDC. There are an additional two hydro projects, Kalabagh 2,776 MW and Doyian 490 MW, that are not on the WAPDA list but the feasibility studies have been completed in 1987 and 2004, respectively. The total capacity of the future hydro potential is 43,676 MW.
The location of the future hydro plants in Pakistan is presented in Figure 6-2.
Figure 6-2 Location of Hydro Projects
Project data sheets of the WAPDA hydro projects summarizing key data including the technical characteristics and cost data from the available feasibility study reports and information provided by Hydro Planning, WAPDA are included in Annexure 2. The technical and cost data for IPP hydro projects are based on information provided by WAPDA Power Privatization Organisation (WPPO), NTDC and the State of Industry Report by NEPRA (www.nepra.org.pk).
The summary table and detailed monthly capacity and energy data of each of the future hydro projects are provided in Annexure 2.
Earliest Commissioning Dates of Future Hydro Projects
After a review of the provided implementation schedule of the hydro projects, it was found that the expected commissioning dates for some of the projects would need to be adjusted to take into account their current stage of development. For the generation planning study the basic criteria listed in Table 6-9 was applied to estimate the earliest possible commissioning date for project at different stages of development.
Table 6-9 Lead Time of Future Hydro Projects by Category
Status Category | Current Status | Lead Time |
A | Under construction | as per the schedule given |
B | Ready for implementation | construction period + 1~2 years |
C | Detailed design & tender documents | construction period +4 years |
D | Under study | construction period + 6 years |
E | Desk studies | construction period + 8 years |
The earliest possible commissioning dates, installed capacities and average annual energy data of future hydro projects are presented in Table 6-10.
Table 6-10 Identified Future Hydro Projects
No. | Project Name | Status Category | Installed Capacity (MW) | Average Annual Energy (GWh) | Earliest Commissioning Date |
| WAPDA | |
1 | Diamer Basha | B | 4,500 | 18,072 | 2022-23 |
2 | Golen Gol | B | 106 | 437 | 2017-18 |
3 | Kurram Tangi | A | 83 | 350 | 2013-14 |
4 | Tarbela 4th Ext. | B | 960 | 2,000 | 2017-18 |
5 | Munda | C | 740 | 2,272 | 2022-23 |
6 | Keyal Khwar | C | 122 | 426 | 2021-22 |
7 | Phander | C | 80 | 350 | 2020-21 |
8 | Basho | C | 26 | 131 | 2019-20 |
9 | Harpo | C | 33 | 187 | 2019-20 |
10 | Lawi | C | 70 | 303 | 2021-22 |
11 | Dasu | B | 4,320 | 23,189 | 2023-24 |
12 | Bunji | B | 7,100 | 24,129 | 2022-23 |
13 | Akhori | C | 600 | 2,156 | 2022-23 |
14 | Lower Spat Gah | C | 496 | 2,106 | 2023-24 |
15 | Palas Valley | C | 665 | 2,635 | 2022-23 |
16 | Pattan | C | 2,800 | 15,230 | 2024-25 |
Table 6-10 Identified Future Hydro Projects (Cont’d)
No. | Project Name | Status Category | Installed Capacity (MW) | Average Annual Energy (GWh) | Earliest Commissioning Date |
IPPs |
17 | Thakot | D | 2,800 | 14,095 | 2024-25 |
18 | Dudhnial | D | 800 | 5,425 | 2025-26 |
19 | Yulbo | E | 3,000 | 12,058 | 2026-27 |
20 | Tungas | E | 2,200 | 9,583 | 2026-27 |
21 | Skardu | E | 1,650 | 7,130 | 2026-27 |
22 | Yugo | E | 520 | 2,012 | 2026-27 |
23 | Kalabagh | D | 2,776 | 11,749 | 2023-24 |
24 | Taunsa | C | 120 | 665 | 2020-21 |
25 | Doyian | D | 490 | 2,419 | 2021-22 |
26 | New Bong Escape | A | 84 | 470 | 2013-14 |
27 | Gul Pur | B | 100 | 466 | 2015-16 |
28 | Rajdhani | B* | 132 | 664 | 2015-16 |
29 | Kotli HPP | B* | 97 | 479 | 2016-17 |
30 | Patrind HPP | B* | 147 | 675 | 2016-17 |
31 | Sehra HPP | B* | 130 | 513 | 2016-17 |
32 | Karot HPP | B* | 720 | 2,575 | 2017-18 |
33 | Asrit-Kedam HPP | B* | 215 | 911 | 2017-18 |
34 | Madian HPP | B* | 157 | 784 | 2017-18 |
35 | Azad Pattan | B* | 222 | 781 | 2018-19 |
36 | Chakothi HPP | B* | 500 | 2,459 | 2018-19 |
37 | Kalam - Asrit HPP | B* | 197 | 881 | 2018-19 |
38 | Gabral Kalam HPP | B* | 101 | 445 | 2018-19 |
39 | Shogosin HPP | B* | 127 | 583 | 2018-19 |
40 | Shushgai Zhendoli HPP | B* | 102 | 368 | 2018-19 |
41 | Suki Kinari HPP | B* | 840 | 2,958 | 2019-20 |
42 | Kaigah HPP | B* | 548 | 1,975 | 2019-20 |
43 | Kohala HPP | C | 1100 | 3,964 | 2021-22 |
B*: Detailed information of the project status is not available. However, since the construction of the project has not started and the earliest commissioning date of the projects was postponed by 2 year based on the commissioning date on the PEPCO future project list considering the lead time for project preparation and construction.
Compared to the original implementation schedule provided by NTDC, the earliest commissioning dates of WAPDA hydro projects before 2020-21 are expected to be delayed by three to five years and of IPP hydro projects by two years considering their current development status. The projects with the earliest commissioning dates after 2020-21 have sufficient lead time and may be scheduled on the proposed dates depending of the attractiveness of the projects.
Environmental and Socioeconomic Aspects
As discussed in Section 6.2 Environmental and Socio-economic costs have been estimated by restating at 2010 price levels the costs for those projects that have been studied to feasibility level and for whom the original environmental cost estimates are available. Proportions, based on projects that have the necessary data, have been applied to estimate the environmental cost estimates for the other projects. These are summarized in Table 611.
Table 6-11 Summary of Environmental Costs
Sr. No | Project Name | Current Status | Gross Storage (Million Acre Feet) | Potential Capacity (Mega Watt) | Costs (Million US $) | Total (E&R*) (Million US $) | Final (E&R*) (Million US |
1 | Doyian Hydropower Project | Feasibility study completed 2003 | 0.007 | 490 | 428.19 | 1.30 | 1.30 |
2 | Basho Hydropower Project | Feasibility study completed 2001 | 0 | 28 | 40.00 | 0.12 | 0.12 |
3 | Taunsa Hydropower Project | Feasibility study completed 2000 | 0 | 120 | 181.00 | 0.75 | 0.75 |
4 | Palas Valley Hydropower Project | Feasibility study completed 2009 | 0.0024 | 665 | 763.62 | 4.47 | 4.40 |
5 | Bunji Hydropower Project | Feasibility study Completed 2008 | 0 | 7,100 | 6,840.00 | 57.00 | 56.99 |
6 | Kohala Hydropower Project | Feasibility study completed 2009 | 0.013 | 1100 | 2,212.00 | 8.84 | 8.84 |
7 | Munda Dam Multipurpose Project | Feasibility study completed 1992 | 1.29 | 740 | 1,401.00 | 7.50 | 7.50 |
8 | Tarbela Fourth Extension Hydropower Project | Feasibility Study not prepared | 0 | 960 | 705.00 | 0.00 | 13.29 |
9 | Suki Kinari Hydropower Project | Feasibility study not prepared | 0 | 840 | 925.00 | 0.00 | 15.72 |
10 | Lower Spat GahHydropower Project | Feasibility study completed 2009 | 0.0017 | 496 | 702.00 | 12.80 | 12,80 |
11 | Tungas Dam Project | Feasibility study not prepared | 0 | 2,200 | 4,200.00 | 0.00 | 64,75 |
Sr. No | Project Name | Current Status | Gross Storage (Million Acre Feet) | Potential Capacity (Mega Watt) | Costs (Million US $) | Total (E&R*) (Million US $) | Final (E&R*) (Million US |
12 | Phandar Hydropower Project | Feasibility study completed 2003 | 0 | 80 | 70.00 | 2.47 | 2.47 |
13 | Keyal Khwar Hydropower Project | Feasibility study completed 2008 | 0 | 122 | 247.50 | 3.87 | 3,87 |
14 | Patan Hydroelectric Project | Feasibility study not prepared | 0 | 2,800 | 6,000.00 | 0.00 | 91.09 |
15 | Lower Thakot Dam Project | Feasibility study not prepared | 0 | 2,800 | 6,000.00 | 0.00 | 91,09 |
16 | Dudhnial | Feasibility study not prepared | 0 | 800 | 1,800.00 | 0.00 | 27,16 |
17 | Yulbo Dam Project | Feasibility study not prepared | 0 | 2,800 | 6,750.00 | 0.00 | 101,04 |
18 | Diamer Basha Dam Project | Feasibility study completed 2004 | 8.1 | 4,500 | 11,178.00 | 207.16 | 207,15 |
19 | Lawi Hydropower Project | Feasibility study completed 2006 | 0 | 69 | 93.00 | 3.33 | 3,33 |
20 | Harpo Hydropower Project | Feasibility study 2002 | 0 | 33 | 45.00 | 2.00 | 1,99 |
21 | Golen Gol Hydropower Project | Feasibility study Completed 1997 | 0 | 106 | 130.00 | 6.77 | 6,77 |
22 | Skardu Dam Project | Feasiblity not prepared | 0 | 1650 | 8,250.00 | 0.00 | 116,22 |
Sr. No | Project Name | Current Status | Gross Storage (Million Acre Feet) | Potential Capacity (Mega Watt) | Costs (Million US $) | Total (E&R*) (Million US $) | Final (E&R*) (Million US |
24 | Shyok(Yugo) Hydropower Project | Feasibility study not prepared | 0 | 500 | 3,000.00 | 0.00 | 41,85 |
23 | Kala Bagh Dam Project | Feasibility study completed 1987 | 7.9 | 2,776 | 2,650.40 | 244.22 | 244,22 |
25 | Dasu Hydropower Project | Feasibility study completed 2009 | 1.15 | 4,320 | 5,206.00 | 392.50 | 392,50 |
26 | Kurram Tangi Multipurpose Project | Feasibility study completed 2004 | 0.93 | 63 | 700.00 | 37.50 | 37,50 |
27 | Akhori Dam Project | Feasibility Study completed 2005 | 7.6 | 600 | 3,300.00 | 795.00 | 795,00 |
* The values shown in this column are the original feasibility cost estimates escalated to 2010 price levels. For those projects showing no original estimate, the approximation has been applied. The final column shows the costs used in the NPSEP.
Preliminary Screening of Future Hydro Projects
In order to develop the least cost generation plan for Pakistan, one of the key steps is to rank the candidate hydro projects in terms of their economic costs including capital and O&M costs. The capital cost and O&M costs of the future hydro projects were estimated based on their feasibility study reports and adjusted for environmental and resettlement costs. The unit cost of energy for each of the hydro projects was then estimated based on the annualized capital costs over the project lifetime (50 years) plus the O&M costs for the year divided by the average annual energy produced.
Among the future hydro projects, there are four multipurpose hydro projects whose cost should not be fully allocated to power generation:
• | Diamer Basha | 4,500 MW |
• | Kalabagh | 2,776 MW |
• | Munda | 740 MW |
• | Kurram Tangi | 84 MW |
According to a study done in December 1985 by Kalabagh Consultants for the Kalabagh Dam Project, it was determined that 65% of the project capital cost should be allocated to power generation, with the remaining 35% allocated to irrigation and flood control. While this analysis was done specifically for the Kalabagh Dam, it is assumed that a similar proportion could be applied for the other multipurpose projects, however with the caveat that this estimate should be firmed up for the other projects during their detailed feasibility studies. This percentage allocation was also adopted by the National Power Plan in 1994 and has also been used for the NPSEP.
The derived unit cost of energy in an ascending order for the future hydro projects is presented in Table 6-12.
Table 6-12 Summary of Future Hydro Projects
No. | Project Name | Installed Capacity (MW) | Capital Cost[16](US$/kW) | O&M Costs (US$/kW-yr) | Unit Cost of Energy (US$/MWh) | Capacity Factor |
| | WAPDA | | | |
1 | Kalabagh | 2,776 | 621 | 9.3 | 16 | 48% |
2 | Doyian | 490 | 874 | 13.1 | 19 | 56% |
3 | Phander | 80 | 875 | 8.8 | 20 | 50% |
4 | Dasu | 4,320 | 1,205 | 18.1 | 24 | 61% |
5 | Harpo | 33 | 1,333 | 13.3 | 24 | 65% |
6 | Basho | 26 | 1,391 | 13.9 | 28 | 57% |
7 | Taunsa | 120 | 1,515 | 22.7 | 29 | 63% |
8 | Golen Gol | 106 | 1,226 | 12.3 | 30 | 47% |
9 | Palas Valley | 665 | 1,147 | 17.2 | 31 | 45% |
10 | Bunji | 2,367 | 963 | 17.6 | 31 | 39% |
11 | Lawi | 70 | 1,200 | 30.0 | 32 | 49% |
12 | Dudhnial | 800 | 2,284 | 22.8 | 34 | 77% |
13 | Lower Spat Gah | 496 | 1,405 | 21.1 | 35 | 48% |
14 | Tarbela 4th Extension | 960 | 748 | 7.5 | 37 | 24% |
15 | Pattan | 2,800 | 2,175 | 21.8 | 41 | 62% |
16 | Munda | 740 | 1,231 | 12.3 | 41 | 35% |
17 | Diamer Basha | 2,250 | 1,615 | 17.4 | 41 | 46% |
18 | Thakot | 2,800 | 2,175 | 21.8 | 44 | 57% |
19 | Tungas | 2,200 | 1,939 | 29.1 | 47 | 50% |
20 | Keyal Khwar | 122 | 2,025 | 20.2 | 59 | 40% |
21 | Yulbo | 3,000 | 2,284 | 34.3 | 61 | 46% |
22 | Skardu | 1,650 | 5,070 | 76.1 | 125 | 49% |
23 | Kurram Tangi | 83 | 5,456 | 54.6 | 132 | 48% |
24 | Akhori | 600 | 5,500 | 55.0 | 156 | 41% |
25 | Yugo | 520 | 5,850 | 87.8 | 161 | 44% |
Table 6-12 Summary of Future Hydro Projects (cont’d)
No. | Project Name | Installed Capacity (MW) | Capital Cost[17](US$/kW) | O&M Costs (US$/kW-yr) | Unit Cost of Energy (US$/MWh) | Capacity Factor |
| | IPPs | |
26 | Rajdhani, IPP | 132 | 1,295 | 19.4 | 27 | 57% |
27 | Chakothi, IPP | 500 | 1,504 | 22.6 | 33 | 56% |
28 | Shogosin, IPP | 127 | 1,496 | 22.4 | 35 | 52% |
29 | Kalam - Asrit, IPP | 197 | 1,497 | 22.5 | 36 | 51% |
30 | Gabral Kalam, IPP | 101 | 1,485 | 22.3 | 36 | 50% |
31 | Gul Pur, IPP | 100 | 1,590 | 23.9 | 36 | 53% |
32 | Patrind, IPP | 147 | 1,612 | 24.2 | 37 | 52% |
33 | Kotli, IPP | 97 | 1,753 | 26.3 | 38 | 56% |
34 | Suki Kinari, IPP | 840 | 1,287 | 19.3 | 39 | 40% |
35 | Kohala, IPP | 1,100 | 2,011 | 24.1 | 43 | 56% |
36 | Kaigah, IPP | 548 | 1,500 | 22.5 | 44 | 41% |
37 | Shushgai Zhendoli, IPP | 102 | 1,529 | 22.9 | 45 | 41% |
38 | Azad Pattan, IPP | 222 | 1,500 | 22.5 | 45 | 40% |
39 | Asrit-Kedam, IPP | 215 | 1,884 | 28.3 | 47 | 48% |
40 | New Bong Escape, IPP | 84 | 2,536 | 38.0 | 48 | 64% |
41 | Madian, IPP | 157 | 2,790 | 41.8 | 60 | 57% |
42 | Karot, IPP | 720 | 2,042 | 30.6 | 61 | 41% |
43 | Sehra, IPP | 130 | 2,646 | 39.7 | 72 | 45% |
The results show that the unit costs of energy for most of the identified future hydro projects are less than US$ 60/MWh, which is generally more economically attractive than the thermal generation options operating at the same capacity factors. However, four WAPDA hydro projects, Akhori, Kurram Tangi, Skardu and Yugo have a higher unit cost. Kurram Tangi was included since it is under construction. Akhori, Skardu and Yugo were not considered further in the NPSEP.
All the future hydro projects including WAPDA hydro projects and IPPs are ranked and presented in terms of the unit cost of energy in Figure 6-3.
Figure 6-3 Ranking of Hydro Projects
Implementation of Hydro Projects
An implementation schedule, shown in Table 6-13, was developed for the future hydro projects based on their unit costs of energy and earliest available commissioning dates.
Given the short duration to complete this Expansion Plan, the prioritization was based on a static analysis using annual capacity factors to develop a preliminary ranking. This level of analysis is sufficient to obtain indicative costs for the generation. However, it is recommended that future updates of the optimized ranking be based on a system analysis that takes the contribution of seasonal nature of hydro plants into consideration. This system analysis takes considerably longer than the static analysis as it requires much more detailed simulation.
National Power System Expansion Plan
Table 6-13 Implementation of Hydro Plants
National Power System Expansion Plan
Table 6-13 Implementation of Hydro Plants (Cont’d)
504760-01-MR 6-30 Main Report
As shown in the schedule, most of the future hydro projects are scheduled to be implemented as soon as they are available. The following four projects were postponed as the system had reached the LOLP reliability target and further additions were not required in that year:
- Kohala: 2020-21 to 2021-22;
- Taunsa: 2020-21 to 2025-26;
- Pattan: 2022-23 to 2024-25; and,
- Dudhnial: 2024-25 to 2025-26.
Process of Detailed Screening of Hydro Projects
The preliminary screening of hydro projects was carried out based on the unit cost and feasible due date earlier in this section. The above derived unit cost of future hydro projects provides the generating cost of each hydro project at a specific capacity factor. Most of the future hydro projects have a plant capacity factor in a range of 40% to 50%. The ranking of hydro projects based on the preliminary screening provides a good indication and start point to develop the generation expansion plan. However, this preliminary screening analysis does not take into account the seasonal or daily load variations and the operating patterns of the hydro plants in the particular system being studies.
To complete detailed screening of hydro projects taking into account the seasonal load variation and operating patterns of the hydro plants would require a greater level of details and significant efforts of SYPCO simulations and iterations depending on the size of the system and the number of candidate hydro projects. The key steps to carry out the detailed screening of hydro projects are briefly described as follows.
- Determine the unit cost and the earliest commissioning date of candidate hydro projects;
- Formulate the first set of generation plan including only thermal units using SYPCO;
- Introduce hydro plants one by one for a certain year into the first set of generation plan formulated in Step 2 while keeping the LOLP at the same level. The hydro plants will replace the most expensive units, usually gas turbine units, to meet the demand and the reliability criteria;
- Compare the present worth of the total costs for each generation plan by introducing the hydro plants one by one derived from SYPCO simulations. If Project A gives the least cost generation plan, Project A is the cheapest project among the candidate hydro projects. The other hydro projects can be ranked based on the present worth of the total costs for its generation plan;
- If adding a hydro project, the present worth of the total costs increases, this hydro project should be postponed to the next year for testing or re-investigated in terms of economic viability; and
- Repeat Step 3 and 4 for the following years of the study period and complete the screening of the candidate hydro projects.
6.7.2 New Thermal Options
New thermal options include Gas Turbines (GTs), Combined Cycle Gas Turbines (CCGTs) and Steam Turbines using furnace oil (FO) or coal. To develop a least cost generation expansion plan, it is necessary to examine the economic attractiveness of each thermal option and select the least cost supply options taking into account technical characteristics and operational requirements.
The choice of generation options has to take into account system size, variation in daily and seasonal peak loads, system reliability requirements, operational and maintenance constraints, fuel availability, synergy with the existing system, and requisite generation mix. In addition to the power system factors that are important for the selection of generation units, the technical and economic characteristics of the generating units have to be taken into consideration. These include operational and maintenance requirements, fuel efficiency, emission levels, construction schedule, and investment and O&M costs.
Achieving economies of scale plays a major role in reducing the cost of generation. However technical limits with regards the size of the units has to also be considered. Sudden loss of a large generating unit and sudden pick up of a large block of load introduces perceptible drops in frequency and may endanger the stability of the power system. The technical limit thus imposed has a significant influence on the economics of introducing large units into a power system. Therefore, there has to be a balance between economies of scale and system requirements when choosing the appropriate size of the generating units.
The following sections provide the typical characteristics of each of the generating units and the rationale behind its selection.
Steam Turbine Thermal Plants
For fossil-based thermal power plants three sizes were considered, 600MW, 400 MW and 200 MW.
NTDC has specified the capacity size of 1,200 MW for coal-fired units to be located in Karachi and Thar regions. Therefore, 2x600 MW units and 3x400 MW units are suitable configurations for these coal-based power plants. Considering economies of scale and flexibility in performing maintenance tasks, 600 MW steam turbine units were selected for the screening curve analysis.
In addition to the 600 MW sizes, 200 MW units operating fuel oil have been considered for the screening analysis. 200 MW steam power plants are already in operation in Pakistan so local experience for operation and maintenance already exists. This size could be beneficial in terms of reliability of the system and flexibility required for maintenance.
These thermal plants should ideally be located on coast lines close to large quantities of water in light of their cooling requirements. Plants operating on imported coal as well as natural gas and fuel oil can be located near the coast. However, plants operating on Thar coal would need to be located near the coal mines.
The capital costs of coal-based and oil-based plants are based on prices prepared in 2008 by the World Bank in their “Study of Equipment Prices in the Power Sector”. Cost data available from other recently completed studies, and other publications were also reviewed and taken into consideration.
The World Bank Study compares the costs of various types of power plants in USA, India and Romania. An escalation of 5% per year has been applied to the costs of 2008 to arrive at the cost as at December 2010. The total costs take into account equipment; material and labor cost, and also include environmental mitigation equipment, engineering and home office cost, project contingency and indirect costs. Further adjustments were then made to the costs to take into account the size of the plant and application of economies of scale.
Considering that Thar coal will have relatively poor quality which will require a larger boiler size as well as coal and ash handling equipment and storage facilities, it was decided to increase its capital cost by 16% as compared to an imported coal-based plant located on the coast near Karachi.
The costs for the 600 MW coal-based thermal units, using imported coal and Thar coal, and the 200 MW oil-based units are provided in Table 6-14.
The construction time for coal-based thermal plants is assumed to be four years with the following cash flow;
Year 1: 20%; Year 2: 30%; Year 3: 30%; Year 4: 20%
For oil-based thermal plant the construction period is assumed to be three years. The distribution of the cash flow is as follows:
Year 1: 30%; Year 2: 40%; Year 3: 30%
Nuclear Power Plants
The cost and technical data for the nuclear plants is based on information provided by the Pakistan Atomic Energy Commission (PAEC). PAEC has suggested a unit size of 1x1000 MW. However, in view of reliability considerations, and technology and sourcing constraints, the 500 MW unit size was also selected for the screening curve analysis in this study.
PAEC has suggested a capital cost range of US$ 3,000 – 4,000 per kW for the 1,000 MW nuclear power plant excluding the decommissioning cost. Based on this information and taking into account a 15% allowance for the decommissioning cost, the specific investment cost for this type of nuclear power plant is assumed to be US$ 4,600 per kW. The capital cost of 500 MW units at US$ 5,175 per kW is assumed to be 12.5% more than the capital cost of 1,000 MW units.
The construction time for nuclear power plants is assumed to be six years with the following cash flows.
Year 1: 5%; Year 2: 15%; Year 3: 25%; Year 4: 30%; Year 5: 20%; Year 6: 5%
Combined Cycle Plants
Three sizes of Combined Cycle Power Plants (CCPP) were considered for the expansion planning. The International Standards Organization (ISO) ratings of these combined cycle plants are 786 MW, 507 MW and 239 MW. The nominal site ratings of these combined cycle plants will be less than the ISO ratings depending on the ambient conditions. These sizes were selected based on the system size, efficiency of the plants, economies of scale and flexibility for operation and maintenance. The sizes selected are suitable for intermediate as well as base load operation.
The proposed configuration is two gas turbines, two HRSGs and one steam turbine. This configuration is selected as it provides the necessary flexibility in the operation and maintenance of the CCPP.
As regards the choice of fuel, natural gas is the most suitable fuel for gas turbines as the operation of gas turbines on natural gas results in substantially less maintenance costs. However, fuel oil (usually distillate) can be considered as a back-up fuel in case of a shortage of gas supply.
It is not necessary to locate CCPP on the coast as the requirements of cooling water are substantially less as compared to the steam-based thermal plants. However, proximity to a cooling water source is still an important consideration. Ideally, the CCPP should be located close to the load centers if the availability of cooling water is not an issue.
The specific capital costs of CCPP were derived mainly from the Gas Turbine World Handbook of 2010 which provides the most recent information on various types and sizes of these plants and their investment costs. The specific investment costs given in the handbook are budgetary costs and mainly comprise of equipment costs. To derive the total capital costs including engineering and construction services, adjustments were made to the costs from the handbook. These costs were increased by 80% to establish the specific investment costs of CCPPs. These costs are provided in Table 6-14:
The construction time for combined cycle plants is assumed to be three years with the following cash flows:
Year 1: 30%; Year 2: 40%; Year 3: 30%.
Gas Turbine Plants
For gas turbine plants, two sizes, 182 MW (ISO rating) and 70 MW (ISO rating), were selected. The nominal site ratings of these plants will be lower than the ISO ratings depending on the ambient conditions. The gas turbines selected can also be used for the CCPPs of 507MW and 239 MW. This is advantageous as it provides the opportunity of spare parts interchangeability and also operational experience on a similar plant. In addition, if needed, these plants can be easily converted to combined cycle plants.
Gas turbine plants were selected for peaking operation. For peaking operation, fuel efficiency is relatively unimportant as the capacity factors of these machines are low. Startup reliability, start-up time and availability take precedence over thermal efficiency.
As gas turbine power plants are peaking plants and there is no requirement for cooling water, these plants should be located near the load centers in order to minimize the investment on transmission lines.
The specific capital costs of gas turbine power plants are derived mainly from the Gas Turbine World Handbook of 2010 which provides the most recent information on various types and sizes of gas turbine power plants and their capital costs. The Specific investment costs given in the handbook are budgetary costs and mainly comprise of equipment costs. To derive the total specific capital costs including engineering and construction services adjustments were made to these costs by enhancing the costs given in the Handbook by 80%. These costs are provided in Table 6-14.
The construction time for gas turbine plants is assumed to be two years with the following cash flows:
Year 1: 40%; Year 2: 60%
Key Characteristics of the Candidate Thermal Options
The main characteristics of the thermal addition plants are summarized in Table 6-14.
National Power System Expansion Plan
Table 6-14 Summary of Candidate Thermal Units
Unit Type | Fuel Type | Size (MW) | Capital Cost (USD/kW) | Fixed O&M ($/kW-y) | Variable O&M ($/MWh) | Site Efficiency | Plant Life Years | Investment Cash Flow (%, middle of the year) | Heat Rate (Btu/kWh) | Equivalent Forced Outrage Rate |
ISO | Site Rating | ISO | Site | Y-1 | Y-2 | Y-3 | Y-4 | Y-5 | Y-6 |
GT-60 | Gas | 70 | 60 | 500 | 588 | 24 | 1.7 | 34.2% | 20 | 40% | 60% | | | | | 9,985 | 6.8% |
GT-155 | Gas | 182 | 155 | 420 | 494 | 19 | 1.5 | 37.4% | 20 | 40% | 60% | | | | | 9,120 | 6.8% |
CC-215 | Gas | 239 | 215 | 990 | 1,100 | 31 | 2.3 | 55.6% | 25 | 30% | 40% | 30% | | | | 6,140 | 4.6% |
CC-456 | Gas | 507 | 456 | 820 | 911 | 28 | 2 | 53.0% | 25 | 30% | 40% | 30% | | | | 6,435 | 4.6% |
CC-707 | Gas | 786 | 707 | 780 | 867 | 27 | 1.8 | 57.1% | 25 | 30% | 40% | 30% | | | | 5,980 | 4.6% |
ST-200-Oil | Oil | 200 | 200 | 1,520 | 1,520 | 25 | 2.8 | 36.2% | 30 | 30% | 40% | 30% | | | | 9,420 | 7.0% |
ST-600-Thar | Thar coal | 600 | 600 | 2,050 | 2,050 | 35 | 3.6 | 36.9% | 30 | 20% | 30% | 30% | 20% | | | 9,250 | 9.5% |
ST-600-Imp | Imported coal | 600 | 600 | 1,850 | 1,850 | 30 | 3 | 37.5% | 30 | 20% | 30% | 30% | 20% | | | 9,100 | 9.0% |
Nuclear-500 | Yellow cake | 500 | 500 | 5,175 | 5,175 | 32 | 3 | 33.5% | 40 | 5% | 15% | 25% | 30% | 20% | 5% | 10,200 | 11.0% |
Nuclear-1000 | Yellow cake | 1,000 | 1,000 | 4,600 | 4,600 | 28 | 2.7 | 35.2% | 40 | 5% | 15% | 25% | 30% | 20% | 5% | 9,690 | 11.0% |
Note:GT – Gas Turbine; CC – Combined Cycle; ST – Steam Turbine
504760-01-MR 6-37 Main Report
Earliest Commissioning Date of Candidate Thermal Units
The lead time for candidate thermal units are estimated based on the type and the size of the units, and taking into account the time required for the feasibility study, tender documents preparation and contract negotiations. The lead time for new thermal units is presented in Table 6-15.
Table 6-15 Lead Times for Thermal Plants
Unit Type (unit type – site rating) | Construction Period | Preparation for Construction | | Total Lead Time | Earliest Onpower Date |
Years | | |
GT- 60 | 2 | 1 | | 3 | 2014 |
GT- 155 | 2 | 1 | | 3 | 2014 |
CC- 215 | 3 | 1 | | 4 | 2015 |
CC- 456 | 3 | 1 | | 4 | 2015 |
CC- 707 | 3 | 1 | | 4 | 2015 |
ST- 200 (Oil) | 3 | 1 | | 4 | 2015 |
ST- 600 (Thar coal) | 4 | 1 | | 5 | 2016 |
ST- 600 (Imported coal) | 4 | 1 | | 5 | 2016 |
Nuclear – 500 | 6 | 2 | | 8 | 2019 |
Nuclear-1,000 | 6 | 2 | | 8 | 2019 |
Screening Curve Analysis of Thermal Options
The candidate units were assessed and ranked in terms of annualized unit costs by developing screening curves, showing unit costs for different capacity factors.
This optimization is based on representing the average annual utilisation only over the life of the plant and hence has certain limitations. The screening curves do not directly consider the existing system, the changing capacity factor through time, or the unit operating constraints. Nevertheless, the screening curves do give a good first indication of what plants should be considered in formulating the generation expansion plans. The curves for the different thermal supply options are presented below.
Figure 6-4 Screening Curves
The screening curve analysis results show that the GT–155 MW is the lowest cost option operating at less than 17% of capacity. From 17% to 80%, CC–707 MW is the least cost option and above 80% Nuclear–1,000 MW becomes the cheapest option. However, considering the forced outage rate of 11% and an 8-week maintenance period, the nuclear units cannot realistically operate at a capacity factor above 80%. Therefore, the screening curve analysis suggests that the CCGT-707 is the least cost option whenever the units operate above a 17% capacity factor.
The costs of hydro units are also plotted in the figure. Since hydro units operate at certain capacity factors determined by the average energy and capacity, the unit cost of hydro units are plotted as separate dots instead of lines.
6.7.3 Other Generation Options
Power Import Options
PEPCO future projects list includes two interconnection projects, designed to provide power to Pakistan from neighbouring countries in the region:
- The import of 1,000 MW from Zahedan, Iran to Quetta, Pakistan via a ± 500 kV HVDC bipole(Draft feasibility study report was issued in August, 2010); and
- The import of 1,000 MW from Sangtuda, Tajikistan via Kabul, Afghanistan to Peshawar, Pakistan via a ± 500 kV HVDC 3-terminal bipole. The feasibility study of a 1,300 MW interconnection from Tajikistan to Afghanistan (300 MW) and Pakistan (1,000 MW) was completed in 2008 and updated in 2010.
The commissioning dates of both projects are expected to be in the year 2016-17 considering the current status of the projects and time required for project development. These two projects are not considered as alternatives to be compared; rather they are complementary and are designed to relieve the medium-term shortages foreseen in Pakistan.
For the import from Iran, the study considered an import of up to 1,000 MW from a dedicated combined-cycle power plant close to Zahedan in Iran to be delivered to a new 220 kV substation in Quetta, Pakistan involving approximately 680 km of transmission (95 km in Iran and 585 km in Pakistan. The supply from the combined-cycle plant in Iran is essentially a dedicated supply to Pakistan and will be available year round. The import from Iran can be considered as a firm import operating at 88% capacity factor.
The supply from Tajikistan will be subject to the seasonal variations in hydro capability and will be restricted to the summer months. For planning purposes, it is assumed that the import from Tajikistan will be 1,000 MW maximum and 3,816 GWh per year, restricted to the summer months of April to September.
Wind Energy
The only renewable energy source included in the current expansion plan is wind (with a very small amount of bagasse) in addition to hydroelectric options. Wind energy is now being recognized as a potential new power option in the country. In Pakistan, studies have been under way for a number of years. One of the wind resource studies carried out by National Renewable Energy Laboratories (NREL) of USA under the USAID assistance program in 2007 has developed a meso scale map of Pakistan showing the wind speed potential available at 50m height. According to this study, Pakistan has a potential of more 300,000 MW of wind energy in the entire country.
The Government of Pakistan has introduced a Policy for Development of Renewable Energy for Power Generation 2006 to provide guidelines for the development of the wind energy sector. There are more than forty eight (48) national and international private investors currently possessing Letters of Intent (LOI) for wind power projects issued by the Alternative Energy Development Board (AEDB). AEDB has so far allocated land to more than eighteen (18) IPPs for wind power generation projects of 50 MW each. Twelve (12) 50 MW wind power projects (IPPs) have completed feasibility studies. Eight IPPs have obtained generation license from NEPRA. NEPRA has announced tariff determinations for four IPPs:
- Green Power
- Dawood Power Ltd.
- Zorlu Enerji Pakistan
- Arabian Sea
Tariff petitions of one IPP Fauji Fertilizer Company Ltd., is under the process for approval by NEPRA.
In the NPSEP, Zorlu Enerji (50 MW) and Fauji Fertilizer Co. (50 MW) are recognized as committed plants. Future wind power projects have also been proposed on the PEPCO projects list. The capital cost of wind power projects varies from US$ 2,500 - 3,000 per kW. In this study, the capital cost of wind power projects was assumed to be US$3,000 per kW with a maintenance cost of 2% of capital cost per year. The corresponding generation cost of wind power was estimated to be US$ 0.15 per kWh.
Other Renewable Energy Resources
Biomass electrical energy will normally result as a by-product from other industrial operations, so its cost will be affected by the economics of the overall operation. Typically the total generation costs of biomass generation plants range from US$ 0.10 to 0.15 per kWh. This is expected to be above other viable electricity supply costs in Pakistan. Further investigation and studies should be carried out to examine the potential and generation cost of biomass resource.
There are two committed projects, Jamal Din Wali R. Y. Khan in Punjub (80 MW) using bagass and KESC Bio Waste to Energy project (25 MW) which have been considered in the NPSEP.
Solar (photovoltaic) generation has not been considered in the NPSEP as it is considered expensive, particularly when setting up a system to provide 24 hour service in alternating current[18].
However, its absence from the NPSEP does not imply that solar generation can be ignored. It should be considered for small off-grid uses where direct current applications are appropriate.
There is a geologic fault that runs through the Tarbela project and continues on to Iran. Along that fault 128 mud volcanoes have been identified, of which 20 are located in Pakistan. There appears to be a potential for the development of geothermal energy although no studies have been published on the potential of that resource. Geothermal is also not considered in the NPSEP.
6.8 Generation Expansion Plans
6.8.1 Short-Term Plans
The short term emphasis is on reduction of load shedding, with minimum deviation from the long term strategy. For the short term, the NPSEP has assumed that:
- Demand side management programs should be aggressively pursued;
- All plants expected to retire in the next five years will undergo rehabilitation to extend their service lives by a further 10 years; and
- During the early years, the building of plants with less gestation periods should be encouraged.
New additions for the next five years are listed in Table 6-16. This short term generation expansion plan would be common to all alternatives being compared.
Table 6-16 Generation Additions for First Five Years
Year | Name of Project | Unit Additions | Annual Total (MW) |
Type | Number of Units | Net Unit Capacity (MW) |
2011-12 | Nandipur Power project | CC | 1 | 364 | 950 |
| CHASHNUPP-II, Punjab | Nuclear | 1 | 320 | |
| Khan Khwar | Hydro | 1 | 71 | |
| Jinnah | Hydro | 1 | 95 | |
| Fauji and Zorlu | Wind | 2 | 50 | |
2012-13 | UAE G.T, F/Abad Punjab | GT | 2 | 134 | 1,515 |
| Jamal Din Wali R.Y. Khan | Bagass | 1 | 76 | |
| BQPS 560, KESC | CC | 1 | 546 | |
| KESC Bio Waste to Energy | Bio Waste | 1 | 23 | |
| Bin Qasim, KESC (2x210 MW oil to coal conversion) | Coal | 2 | 176 | |
| Allai Khwar | Hydro | 1 | 121 | |
| Duber Khwar | Hydro | 1 | 130 | |
2013-14 | Guddu-New | CC | 2 | 329 | 824 |
| Kurram Tangi | Hydro | 1 | 83 | |
| New Bong Escape, IPP | Hydro | 1 | 83 | |
2014-15 | Haveli | GT | 12 | 153 | 2,241 |
Year | Name of Project | Unit Additions | Annual Total (MW) |
Type | Number of Units | Net Unit Capacity (MW) |
| Candidate wind PP | Wind | 8 | 50 | |
2015-16 | Haveli | GT | 12 | -153 | 4,110 |
| Haveli | CC | 6 | 497 | |
| Sahiwal | CC | 2 | 689 | |
| Neelum Jhelum | Hydro | 4 | 240 | |
| Gul Pur, IPP | Hydro | 1 | 99 | |
| Rajdhani, IPP | Hydro | 1 | 131 | |
| Candidate wind PP | Wind | 8 | 50 | |
Due to the current significant shortage of power and the long lead time of developing power plants, the power system of Pakistan is expecting a high LOLP level of 50% to 60%, equivalent to a loss of load expectation of 4,300 – 5,300 hours/years for the first 5 years until 2015-16.
6.8.2 Development of the Base Case
An unconstrained least cost plan would conceivably select all gas fired combined cycle plant additions. While this would provide a theoretical measure of the least cost option, such quantities of gas would not realistically be available, nor would it likely be desirable to have most generation based on a single source of fuel supply, and that also probably imported. It is therefore considered prudent to introduce some constraints that would place an upper limit on the different power generation options. These constraints are taken into consideration in the development of the Base Case.
The Base Case has been developed keeping in view the policy and strategic considerations described earlier in this report. The short term approach focuses on those measures that would help alleviate load shedding, i.e. rehabilitation of existing plants and construction of plants with shorter lead times. The long term analysis adheres to the least cost principle, allowing for policy guidelines and some real constraints.
For the Base Case, future capacity additions to the system will be selected on a least cost basis within the following guidelines:
- Peaking capacity additions will be gas turbines using natural gas with diesel as a backup fuel;
- Plants planned to be retired in the first five years of the analysis are assumed to undergo a rehabilitation program to extend their service lives by 10 years;
- It is assumed that increased quantities of imported or domestic gas would become available for the power sector. Specifically, it is assumed that about 1.5 BCFD of gas would be available starting 2015 which would be sufficient to provide 6,000 MW of electric capacity. This assumption is supported by (1) the detailed planning work done for three gas import pipeline proposals (from Iran, Turkemenistan and Qatar), (2) the attention being recently given to onshore and offshore LNG regasification plants, and (3) Pakistan is considered to be a gas prone country with a relatively high past drilling success rate. Given improved security conditions and attractive exploration incentives, there should be a good possibility of new discoveries, and (4) given the concern over both load shedding and the tariff levels, it is possible that the existing gas allocation criteria could at some point in time be revised in favour of more gas to the power sector . The earliest availability date of 2015 is supported by the understanding that for one of the options (pipeline gas from Iran), the pipeline to a point close to the border is almost complete;
- Based on a similar assessment done as part of the National Power Plan project in 1994, it is assumed that LSFO could be transported upcountry by upgrading the existing rail line on both sides of the Indus River. It is further assumed that this could permit the transportation of about 10 million tones of LSFO which would be sufficient to locate about 6,000 MW of steam plant at the headponds of existing barrages where a year round supply of cooling water would also be available. Given that the upgrading of the rail is beyond the control of the power sector, this option is considered to only be available beginning at the year 2018;
- PAEC / NTDC has provided information indicating a schedule for the addition of two 340 MW units at Chashma in 2017 and 2018. Beyond that, it is assumed that nuclear capacity additions would be of two 1000 MW plants in pairs, each plant one year apart, as per PAEC information. It is also assumed that the pairs would be installed 5 years apart to allow for site selection and development, and that the additions would be either at Karachi or at Chashma. The maximum nuclear plant additions assumed are:
- 340 MW at Chashma 2016-17
- 340 MW at Chashma 2017-18
- 1000 MW at Chashma 2019-20
- 1000 MW at Qadirabad 2020-21
- 1000 MW at Karachi 2023-24 § 1000 MW at Karachi 2024-25
- 1000 MW at Karachi 2027-28
- 1000 MW at Chashma 2028-29;
- There is presently little coal in Pakistan’s power generation mix. Tharparkar coal offers the encouraging opportunity of introducing indigenous, large scale coal based generation into the power mix. Assessments of the viability of mining coal at Tharparkar were done by the John T Boyd Company of the United States in 1994, and Rheinbraun Engineering of Germany in 2004. Currently, studies are underway by Sindh Engro Coal Mining company, and a pilot project to generate a small amount of power based on UCG technology is nearing completion. It is likely that reliable cost estimates for mining or gasification of Tharparkar coal will become available in the near future. At the present time, however, there is insufficient data to determine mining costs with confidence;
- In terms of transmission requirements to evacuate power to energy deficient load centers, a Tharparkar coal fired plant would be similar to a coastal plant. The screening analysis suggests that a coal fired plant would be more economic as compared to an oil fired plant, with both plants located on the coast. It is therefore considered that a Tharparkar coal plant would need to be competitive with an imported coal based plant located at the coast. On this basis, the economic price of Tharparkar coal is estimated based on what it would need to be to produce power at the same cost as an imported coal fired coastal plant. This would then serve as a benchmark price, at or below which it would be economic to produce Thar coal. This benchmark price could also be used as a tool by policy makers to decide if and how much of a premium could be added to this benchmark price, to encourage use of this domestic resource;
- Given the abundant reserves of coal available at Thar, the large worldwide supply options for imported coal, and the policy drive to increase coal (especially indigenous coal) in the energy mix, it is assumed that 40,000 to 50,000 MW could eventually be generated using Tharparkar and / or imported coal. GoP may however not wish to have such large amounts of generation from a single fuel source, or at one geographic location. This power source could become available starting 2016, which is determined by the 5 year lead time needed to build a coal fired plant;
- Pakistan has abundant hydroelectric resources and the policy objective is to increase the hydroelectric share of the power mix. There are 27 projects of various sizes studied to varying levels of detail that are available for consideration. The total capacity of these projects is about 42,000 MW. However, many of these projects have first to be studied to feasibility level prior to firming up their costs, environmental impacts and construction schedules. All 27 projects have been considered for inclusion in the NPSEP, with due time allowance for required supporting studies. As per GoP policy, the Kalabagh hydroelectric project has not been considered in the Base Case;
- In accordance with the January 2011 study by Parsons Brinkerhoff “Feasibility Study for Evacuation of Power from 26 Hydropower Projects in the North”, the capacity of Bunji has been reduced from 7100 MW to 5400 MW, that of Yulbo from 3000 MW to 2400 MW, of Tungas from 2200 MW to 2000 MW, and the capacity of Palas Valley has been reduced from 665 MW to 580 MW. These have been reduced due to power evacuation limitations; and
- Pakistan has an active Alternative Energy Development policy. A 6 MW wind power plant is in operation, another 50 MW wind plant has reached financial close and another 50 MW plant is nearing financial closure. For this study, it is assumed that renewable energy (wind, solar, mini-hydro, geothermal, biomass etc) will continue to be encouraged and will form 5 % of the total generating capacity by the year 2030.
The sequence of capacity additions under the Base Case represents the least cost additions within the above guidelines that meet the established reliability criteria.
Analysis of the Base Case
The screening analysis has demonstrated that, for off-peak load operation with capacity factor above 17%, the least cost options are combined cycle plants using gas, followed by nuclear plants and coal fired steam plants. LSFO fired steam plants are more expensive and have been screened out. Early additions under the Base Case are therefore CCGTs until the quantum of gas assumed to be available has been used up. In addition, as existing plants using natural gas are retired, it is assumed that the gas allocated to the retired plants will be available for new CCGTs.
The total net capacity addition throughout the study period is estimated to be 98,120 MW, consisting of 35.7% of hydro power, 38.1% of steam turbines using Thar coal, 10.3% of CCGT, 6.7% of nuclear, 2% of interconnections, and the rest for gas turbines and renewable energy sources. The wind power only contributes to the energy production and the capacity from wind power has not been considered for system reliability determination.
In developing the least cost generation plan for the Base Case, the hydro projects were added to the system first in economic order. The plant with the shortest lead time is the GT. In 2014, 12 GTs of 155 MWs each were added to the system. These were then converted in 2015 into 6 CCGT units of 510 MW each by adding one steam turbine for each two GT units. In the initial years, the system requires base and medium load additions instead of peak load units. Two more CCGT-707 units were also added to the system in 2015.
Starting from 2016-17, as the quantum of gas assumed to be available is used up, the system calls upon the next least cost option, 600 MW steam plants using Thar coal to close the demand supply gap. The annual capacity additions range from 5,000 MW to 6,000 MW including STs, hydro projects and nuclear units in the period 2015-16 to 2019-20. In the event that development at Tharparkar is delayed, the Thar plant planned for 2016 should be replaced by a plant of the same capacity using imported coal located at the coast. This call should be made in early 2012.
From 2020-21, the system is expected to reach the targeted LOLP level. Six CCGT units are planned to replace the retired CCGTs and STs in order to take advantage of the already allocated gas supply and other existing infrastructure for the retired plants.
Six GT units are planned in the late years of the study period to meet the peak load demand.
The derived least cost generation expansion plan under the Base Case is summarized in Table 6-17.
Table 6-17 Capacity Additions under Base Case
Year | Load (MW) | | | Net Capacity Additions | | | |
| | Units | | | Subtotal (MW) |
GT | CCGT | ST400 | ST600* | Nuclear | Hydro | Wind | Interc. |
2011-12 | 22,567 | | 364 | | | 320 | 166 | 100 | | 950 |
2012-13 | 24,295 | 267 | 546 | 452** | | | 249 | | | 1,513 |
2013-14 | 26,225 | | 658 | | | | 165 | | | 823 |
2014-15 | 28,423 | 1,841 | | | | | 0 | 400 | | 2,241 |
2015-16 | 31,018 | -1,841 | 4,363 | | | | 1,189 | 400 | | 4,110 |
2016-17 | 33,750 | | | | 2,835 | 320 | 370 | 500 | 2,000 | 6,025 |
2017-18 | 36,728 | | | | 2,268 | 320 | 2,136 | 300 | | 5,024 |
2018-19 | 40,149 | | | | 3,969 | | 1,236 | 100 | | 5,305 |
2019-20 | 43,867 | | | | 3,969 | 940 | 1,435 | | | 6,344 |
2020-21 | 47,879 | | | | 2,268 | 940 | 4,089 | | | 7,297 |
2021-22 | 52,147 | | 1,379 | | 567 | | 3,061 | 400 | | 5,407 |
2022-23 | 56,665 | | | | | | 5,316 | 400 | | 5,716 |
2023-24 | 61,424 | | | | 2,268 | 940 | 4,768 | 400 | | 8,376 |
2024-25 | 66,418 | | | | | 940 | 5,544 | 400 | | 6,884 |
2025-26 | 71,610 | 307 | | | 3,402 | | 911 | 400 | | 5,020 |
2026-27 | 77,015 | | 1,379 | | | | 4,356 | 400 | | 6,135 |
2027-28 | 82,586 | | | | 5,670 | 940 | 0 | 400 | | 7,010 |
2028-29 | 88,324 | 307 | | | 4,536 | 940 | 0 | 400 | | 6,183 |
2029-30 | 94,231 | 307 | 1,379 | | 5,670 | | 0 | 400 | | 7,756 |
| Total | 1,188 | 10,067 | 452 | 37,422 | 6,600 | 34,991 | 5,400 | 2,000 | 98,120 |
Note: * Steam turbines using Thar coal.
** Including 76 MW Jamal Din Wali R. Y. Kham, Punjab (Bagass) and 24 MW Bio Waste plant and 352 MW converted from oil to coal in KESC sysem.
The change over time in the capacity mix of the system is shown on Table 6-18.
Table 6-18 Generating Capacity Mix (%) – Base Case
| 2010-11 | 2019-20 | 2029-30 |
Hydro | 31 | 26 | 37 |
Thermal | | | |
• Gas | 31 | 23 | 11 |
• Oil | 37 | 14 | 6 |
• Coal | 0.1 | 26 | 34 |
Nuclear | 2 | 5 | 6 |
Wind | 0 | 3 | 5 |
Imports | 0 | 4 | 2 |
The new projects planned to be added to the system for the Base Case generation plan are presented in Table 6-19 and in Figure 6-5.
Table 6-19 List of Future Projects under Base Case
Year | Name of Project | Unit Additions | Annual Total (MW) |
Type | Number of units | Net Unit Capacity (MW) |
2016-17 | Thar #1 or Imported coal plant | Coal | 5 | 567 | 6,025 |
| CHASHNUPP-III, Punjab | Nuclear | 1 | 320 | |
| Kotli HPP, IPP | Hydro | 1 | 96 | |
| Patrind HPP, IPP | Hydro | 1 | 146 | |
| Sehra HPP, IPP | Hydro | 1 | 129 | |
| Candidate wind PP | Wind | 10 | 50 | |
| Iran - Pakistan and CASA | I/C | 2 | 1,000 | |
2017-18 | Thar # 2 | Coal | 4 | 567 | 5,024 |
| CHASHNUPP-IV, Punjab | Nuclear | 1 | 320 | |
| Tarbela 4th Ext. | Hydro | 2 | 475 | |
| Golen Gol | Hydro | 3 | 35 | |
| Karot HPP, IPP | Hydro | 1 | 713 | |
| Asrit-Kedam HPP, IPP | Hydro | 1 | 213 | |
| Madian HPP, IPP | Hydro | 1 | 155 | |
| Candidate wind PP | Wind | 6 | 50 | |
2018-19 | Thar # 3 | Coal | 7 | 567 | 5,306 |
Year | Name of Project | Unit Additions | Annual Total (MW) |
Type | Number of units | Net Unit Capacity (MW) |
| Azad Pattan HPP, IPP | Hydro | 1 | 220 | |
| Chakothi HPP, IPP | Hydro | 1 | 495 | |
| Kalam - Asrit HPP, IPP | Hydro | 1 | 195 | |
| Gabral Kalam HPP, IPP | Hydro | 1 | 100 | |
| Shogosin HPP, IPP | Hydro | 1 | 126 | |
| Shushgai Zhendoli HPP, IPP | Hydro | 1 | 101 | |
| Candidate wind PP | Wind | 2 | 50 | |
2019-20 | Thar # 4 | Coal | 7 | 567 | 6,345 |
| Chashma | Nuclear | 1 | 940 | |
| Harpo | Hydro | 1 | 33 | |
| Basho | Hydro | 1 | 28 | |
| Suki Kinari HPP, IPP | Hydro | 4 | 208 | |
| Kaigah HPP, IPP | Hydro | 1 | 543 | |
2020-21 | Thar # 5 | Coal | 4 | 567 | 7,297 |
| Qadirabad | Nuclear | 1 | 940 | |
| Phander | Hydro | 4 | 20 | |
| Bunji 1 | Hydro | 7 | 255 | |
| Diamer Basha 1 | Hydro | 6 | 371 | |
2021-22 | Bhikki | CC | 2 | 689 | 5,406 |
| Thar # 6 | Coal | 1 | 567 | |
| Bunji 2 | Hydro | 7 | 255 | |
| Lawi | Hydro | 3 | 23 | |
| Keyal Khwar | Hydro | 2 | 61 | |
| Kohala | Hydro | 4 | 272 | |
| Candidate wind PP | Wind | 8 | 50 | |
2022-23 | Munda | Hydro | 1 | 733 | 5,717 |
| Bunji 3 | Hydro | 7 | 255 | |
| Palas Valley | Hydro | 3 | 191 | |
| Diamer Basha 2 | Hydro | 6 | 371 | |
| Candidate wind PP | Wind | 8 | 50 | |
2023-24 | Thar # 7 | Coal | 4 | 567 | 8,376 |
| Karachi | Nuclear | 1 | 940 | |
| Dasu | Hydro | 8 | 535 | |
Year | Name of Project | Unit Additions | Annual Total (MW) |
Type | Number of units | Net Unit Capacity (MW) |
| Lower Spat Gah | Hydro | 3 | 164 | |
| Candidate Wind PP | Wind | 8 | 50 | |
2024-25 | Karachi | Nuclear | 1 | 940 | 6,884 |
| Thakot | Hydro | 8 | 347 | |
| Pattan | Hydro | 8 | 347 | |
| Candidate Wind PP | Wind | 8 | 50 | |
2025-26 | Faisalabad | GT | 2 | 153 | 5,018 |
| Thar # 8 | Coal | 6 | 567 | |
| Dudhnial | Hydro | 1 | 792 | |
| Taunsa | Hydro | 1 | 119 | |
| Candidate Wind PP | Wind | 8 | 50 | |
2026-27 | D.I.Khan | CC | 2 | 689 | 6,135 |
| Tungas | Hydro | 10 | 198 | |
| Yulbo | Hydro | 10 | 238 | |
| Candidate Wind PP | Wind | 8 | 50 | |
2027-28 | Thar # 9 | Coal | 10 | 567 | 7,010 |
| Karachi | Nuclear | 1 | 940 | |
| Candidate Wind PP | Wind | 8 | 50 | |
2028-29 | Lahore | GT | 2 | 153 | 6,181 |
| Thar Thar # 10 | Coal | 8 | 567 | |
| Chashma | Nuclear | 1 | 940 | |
| Candidate Wind PP | Wind | 8 | 50 | |
2029-30 | Lahore | GT | 2 | 153 | 7,756 |
| Balloki | CC | 2 | 689 | |
| Thar # 11 | Coal | 10 | 567 | |
| Candidate Wind PP | Wind | 8 | 50 | |
Figure 6-5 Base Case Generation Additions
The Base Case generation additions will cost the country over $ 500 billion in 2010 constant US Dollars over the planning horizon – an average of about $ 25 billion a year. The present worth of the total costs are about $ 289 billion. To put these figues in context, Pakistan’s current GDP is about $ 170 billion.
The Base Case will require over the study period 9.2 million MMcf of natural gas, 79 million tonnes of furnace oil and 1,621 million tonnes of coal. The power sector will need to coordinate on an ongoing basis with the fuel and infrastructure providers to ensure that sufficient fuel supplies and infrastructure will be available to implement the power sector expansion plan.
The annual consumption of different fuels (natural gas, coal, fuel oil, nuclear fuel) for the base case expansion plan is provided in Error! Reference source not found.6-20. Table 6-20 Fuel Consumption for Base Case Expansion Plan
| NG | NG | FO | Thar Coal | Dies | U3O8 |
| 1,000m3 | MMcf | Ton | Ton | Ton | Ton |
2011-12 | 15,404,411 | 543,930 | 7,974,978 | 248,587 | 45,078 | 91 |
2012-13 | 16,595,538 | 585,988 | 7,688,603 | 2,454,665 | 50,566 | 95 |
2013-14 | 17,783,992 | 627,953 | 7,664,332 | 2,448,049 | 52,938 | 96 |
2014-15 | 21,361,273 | 754,266 | 7,564,436 | 2,450,532 | 53,421 | 95 |
2015-16 | 23,509,702 | 830,127 | 6,782,769 | 2,453,015 | 45,582 | 96 |
2016-17 | 21,636,446 | 763,983 | 5,099,654 | 20,419,537 | 16,457 | 142 |
2017-18 | 20,372,339 | 719,347 | 4,442,321 | 34,801,168 | 11,647 | 199 |
2018-19 | 17,879,606 | 631,329 | 3,585,418 | 59,892,939 | 7,094 | 199 |
2019-20 | 14,186,884 | 500,939 | 2,754,720 | 84,891,604 | 5,925 | 363 |
2020-21 | 10,891,397 | 384,575 | 2,454,724 | 99,122,839 | 3,012 | 517 |
2021-22 | 12,064,188 | 425,986 | 2,511,867 | 104,216,818 | 0 | 501 |
2022-23 | 12,796,491 | 451,844 | 2,591,828 | 104,336,019 | 0 | 502 |
2023-24 | 9,211,707 | 325,265 | 2,451,650 | 119,057,657 | 0 | 660 |
2024-25 | 8,375,353 | 295,734 | 2,521,771 | 116,692,302 | 0 | 818 |
2025-26 | 8,117,377 | 286,624 | 2,533,087 | 137,757,908 | 0 | 818 |
2026-27 | 9,861,369 | 348,205 | 2,658,442 | 137,053,266 | 0 | 818 |
2027-28 | 7,804,330 | 275,571 | 2,568,353 | 168,772,386 | 0 | 976 |
2028-29 | 7,117,507 | 251,319 | 2,535,943 | 195,315,789 | 0 | 1,134 |
2029-30 | 6,481,985 | 228,879 | 2,406,396 | 228,213,644 | 0 | 1,134 |
Total | 261,451,897 | 9,231,863 | 78,791,292 | 1,620,598,723 | 291,719 | 9,253 |
6.8.3 Alternative Development Scenarios
Two alternative development scenarios have also been analysed as part of the NPSEP. One scenario presents the results of the sequence of additions proposed in the PEPCO / NTDC List of Additions, and the other scenario assumes the absence of any policy or strategic constraints. These scenarios include the short term assumptions of the Base Case, and are described below.
PEPCO List of Additions Case
PEPCO, in consultation with other agencies involved in the power generation sector, has prepared a sequence of plant additions. This list has been prepared in consultation with WAPDA, GENCOs, KESC, PPIB and PAEC. This scenario is entirely based on this PEPCO list of addition without any modifications to their provided commissioning dates.
Listed in Table 6-21 are the capacity additions as per the future project list provided by NTDC.
Table 6-21 Capacity Additions under the PEPCO List of Additions Case
Year | Load (MW) | Net Capacity Additions |
Units | Subtotal (MW) |
GT | CCGT | ST400 | ST600* | Nuclear | Hydro | Wind | Interc. |
2011-12 | 22,567 | | 364 | 94 | | 320 | 166 | 100 | | 1,044 |
2012-13 | 24,295 | 267 | 828 | 452** | | | 332 | 200 | | 2,078 |
2013-14 | 26,225 | | 1,792 | | | | 181 | 200 | | 2,173 |
2014-15 | 28,423 | | 1422 | | 1,328 | | 477 | 250 | | 3,476 |
2015-16 | 31,018 | | 2,107 | 95 | 4,867 | | 3,247 | 150 | | 10,465 |
2016-17 | 33,750 | | | | | 320 | 4,209 | 50 | 2,000 | 6,578 |
2017-18 | 36,728 | | | | 2,268 | 320 | 545 | | | 3,132 |
2018-19 | 40,149 | | | | | 940 | 2,228 | | | 3,168 |
2019-20 | 43,867 | | | | | 940 | 2,343 | | | 3,283 |
2020-21 | 47,879 | | | | | | 2,719 | | | 2,719 |
2021-22 | 52,147 | | | | | | 3,003 | 200 | | 3,203 |
2022-23 | 56,665 | | | | | 940 | 2,343 | 200 | | 3,483 |
2023-24 | 61,424 | | | | | | 594 | 200 | | 794 |
2024-25 | 66,418 | | | | | | 5,544 | 200 | | 5,744 |
2025-26 | 71,610 | | | | 2,268 | 1880 | 792 | 200 | | 5,140 |
2026-27 | 77,015 | | | | 5,670 | | 4,277 | 200 | | 10,147 |
2027-28 | 82,586 | | | | 1,134 | 940 | 2,970 | 200 | | 5,244 |
2028-29 | 88,324 | | | | 5,103 | 940 | 0 | 200 | | 6,243 |
2029-30 | 94,231 | | | | 1,701 | | 4,326 | 200 | | 6,227 |
| 267 | 6,512 | 640 | 24,339 | 7,539 | 40,295 | 2,750 | 2,000 | 84,341 |
Note: * Steam turbines using Thar coal, except for 2,268 MW using imported coal in 2015-16 .
** Including 76 MW Jamal Din Wali R. Y. Kham, Punjab (Bagass) and 24 MW Bio Waste plant
and 352 MW converted from oil to coal in KESC sysem. 94,638
The total capacity added in this Case is 84,340 MW including 47.8% hydro, 28.8% of STs using Thar and imported coal, 8.9% nuclear, 7.7% of CCGTs with the rest consisting of wind, interconnection etc. The simulation results and analysis show that the current deficit in installed capacity will be eliminated by 2016-17 and will provide acceptable generation reliability levels up to 2019-20. After that time, the reliability levels would fall short without adequate new capacity.
The detailed generation expansion plan including the retirement plan for this Scenario is provided in Annexure 2.
Unconstrained Scenario
A scenario was considered in which no constraints or policy guidelines were applied. It was assumed that unlimited quantities of gas and other fuels would be available, infrastructure would be developed as required, Kalabagh (2,776 MW) and Doyian (490 MW) hydroelectric projects would be included if economic and Renewable Energy would only be pursued if economic. The capacity limitations imposed in the Base Case on Bunji, Yulbo, Tungas and Palas Valley hydropower projects were withdrawn for this case.
Details on the capacity additions of the unconstrained least cost generation plan are listed in Table 6-22.
The total capacity additions throughout the study period are around 92,100 MW consisting of 44.3% of hydro power, 50.6% of CCGT, 1.3% of GT and 1% of nuclear and 2% of interconnections.The detailed generation expansion plan, the retirement plan and the breakdown of total costs for the Unconstrained Scenario are provided in Annexure 2.
Table 6-22 Capacity Additions under Unconstrained Case
Year | Load (MW) | | | Net Capacity Additions | | | |
| | Units | | | Subtotal (MW) |
GT | CCGT | ST400 | ST600* | Nuclear | Hydro | Wind | Interc. |
2011-12 | 22,567 | | 364 | | | 320 | 166 | 100 | | 950 |
2012-13 | 24,295 | 267 | 546 | 452** | | | 249 | | | 1,513 |
2013-14 | 26,225 | | 658 | | | | 165 | | | 823 |
2014-15 | 28,423 | 1,841 | | | | | | | | 1,841 |
2015-16 | 31,018 | -1,841 | 4,363 | | | | 1,189 | | | 3,711 |
2016-17 | 33,750 | | 2,757 | | | 320 | 370 | | 2,000 | 5,448 |
2017-18 | 36,728 | | 2,068 | | | 320 | 2,136 | | | 4,524 |
2018-19 | 40,149 | | 3,447 | | | | 1,237 | | | 4,683 |
2019-20 | 43,867 | | 5,515 | | | | 1,435 | | | 6,949 |
2020-21 | 47,879 | | 2,757 | | | | 4,650 | | | 7,407 |
2021-22 | 52,147 | 614 | | | | | 4,108 | | | 4,721 |
2022-23 | 56,665 | | | | | | 5,963 | | | 5,963 |
2023-24 | 61,424 | | 689 | | | | 7,516 | | | 8,205 |
2024-25 | 66,418 | | 689 | | | | 5,544 | | | 6,233 |
2025-26 | 71,610 | | 3,447 | | | | 911 | | | 4,357 |
2026-27 | 77,015 | | 689 | | | | 5,148 | | | 5,837 |
2027-28 | 82,586 | | 6,893 | | | | | | | 6,893 |
2028-29 | 88,324 | 307 | 4,825 | | | | | | | 5,132 |
2029-30 | 94,231 | | 6,893 | | | | | | | 6,893 |
| 1,188 | 46,601 | 452 | | 960 | 40,786 | 100 | 2,000 | 92,086 |
Note: * Steam turbines using Thar coal.
** Including 76 MW Jamal Din Wali R. Y. Kham, Punjab (Bagass) and 24 MW Bio Waste plant
and 352 MW converted from oil to coal in KESC sysem. 105,134
6.9 Summary of Reliability Levels and System Expansion Costs
The capacity mix and fuel requirements of the Base and Alternative Cases are given in Table 6-23 and Table 6-24.
Table 6-23 Capacity Additions over 2011-12 to 2029-30
| Base Case | Unconstrained Case | PEPCO Additions Case |
Total Capacity added in MW | 98,120 | 92,086 | 84,341 |
% Capacity Added | | | |
• Hydro | 35.7 | 44.3 | 47.8 |
• Gas (GTs and CCGTs) | 11.5 | 51.9 | 8.0 |
• Coal (STs) | 38.6 | 0.5 | 29.6 |
• Nuclear | 6.7 | 1.0 | 3.3 |
• Wind | 5.5 | 0.1 | 3.3 |
• Imports | 2.0 | 2.2 | 2.4 |
Table 6-24 Fuel Consumption 2011-12 to 2029-30
| Base Case | Unconstrained Case | PEPCO Additions Case |
Natural Gas (million MMcf) | 9 | 22 | 108 |
Furnace Oil (Million tonnes) | 79 | 83 | 110 |
Coal (Million tonnes) | 1,621 | 43 | 1,118 |
Diesel (Thousand tonnes) | 292 | 297 | 198 |
Nuclear Fuel (Thousand tonnes) | 9 | 3 | 10 |
Reliability Levels Achieved
The Base Case and the Unconstrained Case have been developed to meet the target reliability levels and are therefore comparable. In both Cases, the target reliability level of 1 % LOLP is reached by the year 2020-21. For the PEPCO Additions Case, capacity additions have been taken as given. The capacity additions under the PEPCO Additions Case are not adequate to meet the reliability criterion for most of the years throughout the study period. However, during the period 2016 to 2019, the system is found to have excess generating capacity.
The LOLP and effective capacity reserve margin of each year for the Base Case, the PEPCO Additions List Scenario and the Unconstrained Scenario are presented in Table 625.
National Power System Expansion Plan
Table 6-25 Reliability Levels
Year | Peak Load | PEPCO Preliminary Projects | Unconstrained Scenario | Base Case | |
Effective Capacity | Reserve Margin | LOLP (hours) | Effective Capacity | Reserve Margin | LOLP (hours) | Effective Capacity | Reserve Margin | LOLP (hours) |
2011-12 | 22,567 | 21,278 | -5.7% | 4,174 | 21,008 | -7% | 4,333 | 21,008 | -7% | 4,333 |
2012-13 | 24,295 | 21,203 | -6.0% | 4,140 | 20,933 | -7% | 4,374 | 20,933 | -7% | 4,321 |
2013-14 | 26,225 | 22,377 | -7.9% | 4,593 | 22,093 | -9% | 4,597 | 22,093 | -9% | 4,517 |
2014-15 | 28,423 | 24,570 | -6.3% | 3,840 | 22,785 | -13% | 5,249 | 22,785 | -13% | 5,249 |
2015-16 | 31,018 | 27,796 | -2.2% | 3,960 | 24,626 | -13% | 5,149 | 24,626 | -13% | 5,149 |
2016-17 | 33,750 | 37,540 | 21.0% | 656 | 27,846 | -10% | 4,360 | 27,846 | -10% | 4,357 |
2017-18 | 36,728 | 44,068 | 30.6% | 0.4 | 33,368 | -1% | 2,046 | 33,371 | -1% | 2,156 |
2018-19 | 40,149 | 47,200 | 28.5% | 2.4 | 37,892 | 3% | 1,238 | 38,095 | 4% | 1,269 |
2019-20 | 43,867 | 50,368 | 25.5% | 5.4 | 42,576 | 6% | 842 | 43,300 | 8% | 754 |
2020-21 | 47,879 | 52,977 | 20.8% | 16.9 | 48,851 | 11% | 269 | 48,970 | 12% | 401 |
2021-22 | 52,147 | 54,911 | 14.7% | 227 | 55,473 | 16% | 35 | 55,482 | 16% | 85 |
2022-23 | 56,665 | 57,094 | 9.5% | 971 | 59,375 | 14% | 75 | 59,669 | 14% | 81 |
2023-24 | 61,424 | 60,378 | 6.6% | 1,396 | 65,338 | 15% | 40 | 64,985 | 15% | 56 |
2024-25 | 66,418 | 60,542 | -1.4% | 2,057 | 73,114 | 19% | 38 | 72,532 | 18% | 48 |
2025-26 | 71,610 | 65,250 | -1.8% | 3,484 | 78,511 | 18% | 29 | 78,180 | 18% | 28 |
2026-27 | 77,015 | 70,162 | -2.0% | 2,511 | 82,840 | 16% | 51 | 82,771 | 16% | 56 |
2027-28 | 82,586 | 79,864 | 3.7% | 1,590 | 88,433 | 15% | 70 | 88,261 | 15% | 53 |
2028-29 | 88,324 | 83,876 | 1.6% | 1,843 | 94,295 | 14% | 53 | 93,839 | 14% | 66 |
2029-30 | 94,231 | 89,806 | 1.7% | 2,661 | 99,314 | 12% | 76 | 99,509 | 13% | 83 |
504760-01-MR 6-59 Main Report
Comparative System Expansion Costs
The total development costs including investment costs, fixed and variable O&M costs, and fuel costs for the study period have been estimated for the Base Case and the Unconstrained Case. The PEPCO Additions Case is not comparable to the other two Cases since it doesn’t meet the same reliability criteria.
The present worth of total development costs under the Base Case is US$ 289,039 million, or 8%, higher than the costs of US$ 267,656 million under the Unconstrained Case. The difference in cost of $21.4 billion is the value of providing the additional gas and hydro to the country. The GoP could spend up to $21.4 billion on finding more gas and developing some additional hydro projects.
6.10 Sensitivity Tests
The NPSEP Base Case has been developed based on the foregoing criteria and assumptions. To test the robustness of the Base Case, the impact of variations in key input parameters was assessed. The following sensitivity tests were carried out:
- Discount rates: 8%,10%(Base Case), and 12%;
- Fuel cost: -10% and +10% of Base Case values; •Capital cost: -10% and +10% of Base Case values; and
- High and low load forecast scenarios.
These sensitivity analyses are summarized below.
Discount Rate
Items | Discount Rates (%) |
8% | 10% | 12% |
Present worth of total costs (US$ million) | 357,308 | 289,039 | 241,264 |
Percentage change from the Base Case (%) | +24% | 100% | -17% |
Fuel cost
Items | % Increase(+)/Decrease(-) in Fuel Cost |
-10% | Base Case | +10% |
Present worth of total costs (US$ million) | 271,405 | 289,039 | 306,896 |
Percentage change from the Base Case (%) | -6% | 100% | +6% |
Capital cost
Items | % Increase(+)/Decrease(-) in Capital Cost |
-10% | Base Case | 10% |
Present worth of total costs (US$ million) | 280,640 | 289,039 | 298,490 |
Percentage change from the Base Case (%) | -3% | 100% | +3% |
Changes in the discount rate, fuel cost and capital cost do not change the sequence and timing of capacity additions in the Base Case.
High and Low Load Forecast Scenario
Sensitivity studies were carried out to examine the impacts of high and low load forecast on the Base Case least cost generation plan. Among the candidate projects, additions of nuclear projects and renewable energy sources are governed by energy policies and / or strategic constraints, thus their sequence of additions remains the same as in the Base Case. The hydro, gas-fired GTs and CCGTs, and coal-fired steam turbines are the flexible additions which are affected by the increase or decrease in the power demand.
The generation plan under the high load forecast scenario is presented in Table 6-24.
Table 6-26 Generation Plan under High Load Forecast Scenario
Year | Load (MW) | | | Net Capacity Additions | | | Effective Capacity (MW) | Eff. Cap. Reserve Margin | LOLP (hrs/yr) |
| | Units | | | Subtotal (MW) |
GT | CCGT | ST400 | ST600* | Nuclear | Hydro | Wind | Interc. |
2011-12 | 23,355 | | 364 | | | 320 | 166 | 100 | | 950 | 21,054 | -10% | 5,066 |
2012-13 | 25,578 | 267 | 546 | 452** | | | 249 | | | 1,513 | 22,116 | -14% | 5,549 |
2013-14 | 28,018 | | 658 | | | | 165 | | | 823 | 22,895 | -18% | 6,567 |
2014-15 | 30,665 | 1,841 | | | | | 0 | 400 | | 2,241 | 24,920 | -19% | 6,700 |
2015-16 | 33,702 | -1,841 | 4,363 | | | | 1,189 | 400 | | 4,110 | 28,306 | -16% | 6,035 |
2016-17 | 36,889 | | | | 3,969 | 320 | 370 | 500 | 2,000 | 7,159 | 35,194 | -5% | 3,355 |
2017-18 | 40,354 | | | | 3,969 | 320 | 2,136 | 300 | | 6,725 | 41,757 | 3% | 1,613 |
2018-19 | 44,314 | | | | 5,103 | | 1,236 | 100 | | 6,439 | 48,143 | 9% | 827 |
2019-20 | 48,665 | | | | 5,103 | 940 | 1,435 | | | 7,478 | 54,946 | 13% | 376 |
2020-21 | 53,435 | | | | 3,402 | 940 | 4,089 | | | 8,431 | 62,592 | 17% | 69 |
2021-22 | 58,589 | | 1,379 | | 1,701 | | 3,061 | 400 | | 6,541 | 68,097 | 16% | 58 |
2022-23 | 64,124 | | | | | | 5,316 | 400 | | 5,716 | 73,597 | 15% | 88 |
2023-24 | 70,054 | | | | 3,402 | 940 | 4,768 | 400 | | 9,510 | 82,462 | 18% | 77 |
2024-25 | 76,355 | | | | 1,134 | 940 | 5,544 | 400 | | 8,018 | 89,427 | 17% | 55 |
2025-26 | 83,021 | 307 | | | 5,670 | | 911 | 400 | | 7,288 | 96,470 | 16% | 66 |
2026-27 | 90,053 | | 1,379 | | 1,134 | | 4,356 | 400 | | 7,269 | 103,278 | 15% | 86 |
2027-28 | 97,428 | | | | 7,938 | 940 | 0 | 400 | | 9,278 | 111,308 | 14% | 86 |
2028-29 | 105,132 | 307 | | | 7,371 | 940 | 0 | 400 | | 9,018 | 119,997 | 14% | 75 |
2029-30 | 113,154 | 307 | 1,379 | | 7,938 | | 0 | 400 | | 10,024 | 128,794 | 14% | 70 |
Total | 1,188 | 10,067 | 452 | 57,834 | 6,600 | 34,991 | 5,400 | 2,000 | 118,532 | | | |
1 0% 8 5% 0 4% 48 8% 5 6% 29 5% 4 6% 1 7%
Note: * Steam turbines using Thar coal
** Including 76 MW Jamal Din Wali R. Y. Kham, Punjab (Bagass) and 24 MW Bio Waste plant
and 352 MW converted from oil to coal in KESC sysem.
The total net capacity addition throughout the study period is estimated to be 118,532 MW consisting of 29.5% of hydro power, 48.8% of steam turbines using Thar coal, 8.5% of CCGT, 5.6% of nuclear and the rest for gas turbines and wind energy sources as well as 1.7% of interconnections. The total net capacity additions would increase by 21% of the additions under the Base Case. The present worth of total costs has increased by 22% and reached US$ 351,455 million throughout the planning period.
The generation plan under the low load forecast scenario is presented in Table 6-25.
Table 6-27 Generation Plan under Low Load Forecast Scenario
Year | Load (MW) | | Net Capacity Additions | | | Effective Capacity (MW) | Eff. Cap. Reserve Margin | LOLP (hrs/yr) |
| Units | | | Subtotal (MW) |
GT | CCGT | ST400 | ST600* | Nuclear | Hydro | Wind | Inter-C |
2011 | 22,454 | | 364 | | | 320 | 166 | 100 | | 950 | 21,054 | -6% | 4,216 |
2012 | 23,910 | 267 | 546 | 452** | | | 249 | | | 1,513 | 22,116 | -8% | 4,263 |
2013 | 25,371 | | 658 | | | | 165 | | | 823 | 22,895 | -10% | 4,634 |
2014 | 26,928 | 614 | | | | | 0 | 400 | | 1,014 | 24,920 | -7% | 5,195 |
2015 | 28,711 | -614 | 2,373 | | | | 1,189 | 400 | | 3,348 | 28,306 | -1% | 4,495 |
2016 | 30,567 | | 2,068 | | | 320 | 370 | 500 | 2,000 | 5,258 | 31,792 | 4% | 1,987 |
2017 | 32,582 | | | | 1,134 | 320 | 2,136 | 300 | | 3,890 | 34,953 | 7% | 1,195 |
2018 | 34,905 | | | | 2,835 | | 1,236 | 100 | | 4,171 | 39,071 | 12% | 668 |
2019 | 37,432 | | | | 2,268 | 940 | 1,435 | | | 4,643 | 43,039 | 15% | 425 |
2020 | 40,174 | | | | 1,134 | 940 | 4,089 | | | 6,163 | 48,417 | 21% | 61 |
2021 | 43,091 | | 689 | | | | 3,061 | 400 | | 4,150 | 52,221 | 21% | 52 |
2022 | 46,176 | | | | | | 4,009 | 400 | | 4,409 | 57,721 | 25% | 37 |
2023 | 49,435 | | | | | | 6,075 | 400 | | 6,475 | 62,244 | 26% | 41 |
2024 | 52,848 | | | | | | 5,544 | 400 | | 5,944 | 67,135 | 27% | 14 |
2025 | 56,406 | 307 | 689 | | | | 911 | 400 | | 2,307 | 68,508 | 21% | 58 |
2026 | 60,114 | | 689 | | | | 4,356 | 400 | | 5,445 | 74,182 | 23% | 30 |
2027 | 63,953 | | 689 | | 2,268 | 940 | 0 | 400 | | 4,297 | 76,542 | 20% | 58 |
2028 | 67,918 | 307 | | | 2,835 | 940 | 0 | 400 | | 4,482 | 80,695 | 19% | 63 |
2029 | 72,006 | 307 | 1,379 | | 3,969 | | 0 | 400 | | 6,055 | 85,523 | 19% | 48 |
| Total | 1,188 | 10,144 | 452 | 16,443 | 4,720 | 34,991 | 5,400 | 2,000 | 75,338 | | | |
1 6% 13 5% 0 6% 21 8% 6 3% 46 4% 7 2% 2 7%
Note: * Steam turbines using Thar coal
** Including 76 MW Jamal Din Wali R. Y. Kham, Punjab (Bagass) and 24 MW Bio Waste plant
and 352 MW converted from oil to coal in KESC sysem.
The total net capacity additions throughout the study period is estimated to be 75,338 MW consisting of 46.4% of hydro power, 21.8% of steam turbines using Thar coal, 13.5% of CCGT, 6.3% of nuclear and the rest for gas turbines and renewable energy sources as well as 2.7% of interconnections. The total net capacity additions decreased by 25% of the additions under the Base Case. Some of the GT units and CCGT units in 2014-15 and 201516 were postponed by one year. The decreases, totalling 22,782 MW, are from the removal of 2 nuclear units and deduction of ST-600 additions using Thar coal. The present worth of total costs decreased by 21% and reached US$ 227,129 million throughout the planning period.
6.11 Summary, Conclusions and Recommendations
The Base Case has been tested under a range of scenarios, varying key parameters. The Base Case is fairly robust and the sequence and timing of capacity additions does not change. The changing of the discount rate by 10% has significant impact on the present worth of the total project costs. The changing of fuel cost and capital cost by 10% has insignificant impact on the present worth of the total project costs.
A comparison of the Base Case with the Unconstrained Case confirms the attractiveness of gas – fired generation and hydro power. The difference in the net present value of the Base Case and the Unconstrained Case is $ 21 billion – this is a measure of the value to Pakistan of providing additional gas to the power sector, and of developing some additional hydroelectric projects.
Conclusions
The following are the main conclusions of the study:
- The short term goal is the reduction of load shedding. But care should be taken to ensure that continued fire fighting does not deter from following a long term optimum power development path.
- Indigenous gas, hydroelectric power and Tharparkar coal are the preferred power generation options, from an economic point of view. They are the least cost options, in line with GoP policy and provide fuel diversity and security. Moreover, nuclear power option has been included in the NPSEP to have diversity in generation technologies.
- Tharparkar coal offers the exciting prospect of large scale power generation using an indigenous resource. Contrary to the global trend, there is negligible coal in Pakistan’s power mix. Tharparkar will reverse that trend. The first plant may be difficult but will pave the way for future development.
Pakistan is a gas prone country as demonstrated by its drilling success ratio history. The NPSEP has demonstrated the attractiveness of gas for power. Gas fired generation offers the only opportunity of locating generation close to load centers, and is the only practical fuel for the high efficiency combined cycle plants. The first choice is indigenous gas. But if fuel for power is to be imported, preference should be given to gas over oil.
Pakistan has enviable hydroelectric resources, but large attractive multipurpose projects have not been developed. The multipurpose projects are economically attractive for power, let alone the critical requirement for irrigation purposes. It is becoming harder to fund storage projects due to lending agencies concerns with resettlement, thus continued inaction will assure that this resource is wasted.
Recommendations
Action will be required immediately if the least cost projects are to materialize. The following actions are needed immediately:
- Closely spaced drilling and testing at Thar is needed. This can be done with some international support. Bankable feasibility studies are needed. The GoP may consider allowing a higher tariff for initial development at Thar, as tariffs for additional plants will likely decline.
- Hydropower projects identified in the NPSEP that have not yet been studied to feasibility level should be studied to feasibility level. Feasibility studies that are more than three years old should be updated. And those projects that are part of the least cost plan and have been studied recently to feasibility level should be immediately implemented.
- The GoP should be approached and convinced of the attractiveness of gas for power generation. A coordinated plan should be devised to encourage exploration for new gas, and the GoP should be requested to revisit the gas allocation policy. Additionally, gas import pipelines should be implemented on a priority basis as should LNG imports. Every sector of the economy is negatively impacted by gas shortages.
7 TRANSMISSION PLANNING
7.1 Introduction
The key objective of the transmission expansion plan is to ensure that the planned generation can be delivered to the load centres throughout the country:
The specific tasks undertaken were as follows:
- To identify technical and or economic requirements that might require the introduction of any new voltage levels and/or transmission types into the existing transmission network,
- To determine the reinforcements required in the transmission network to meet the growing demand of the load centres by developing new grid stations and their associated transmission lines at 500 kV and 220 kV levels interconnecting with the transmission lines emanating from the proposed power plants.
- To fulfil the reliability criteria of NTDC Grid Code approved by NEPRA in terms of acceptable voltage, frequency, loading of lines and transformers for normal (N-0) and contingency (N-1) conditions both under disturbed dynamic/transient conditions and steady state conditions.
- To determine the long-term impacts on fault levels throughout the transmission network and to examine mitigating measures to deal with excessive fault levels.
- To check the transient and dynamic stability of 500 kV HVAC or above, and HVDC systems catering for the bulk transmission of power from major power plants to the major load centres to verify the adequacy of network for normal and disturbed conditions.
- To estimate the economic cost of these reinforcements in a staged manner. Such costs were then added to the cost of the new generation required to provide the basic input data to the financial analysis and the examination of the impact on tariffs.
7.2 Planning and Performance Criteria
The transmission system expansion plans are required to satisfy the Grid Code of NTDC approved by NEPRA, the regulatory authority of electrical power in Pakistan. The following are the planning and performance criteria laid down in the Grid Code:
Steady State
Adequacy evaluation of planning studies for steady-state system performance was based on equipment loading, congestion management, fault levels and voltage regulation. Steadystate planning studies for steady state load flow studies were deemed acceptable if they did not result in any voltage violations or overloads based on predetermined loading limits for Normal (N-0) and Emergency (N-1) contingency conditions.
Dynamic/Transient Conditions
System stability should be maintained following the disturbances listed below:
- Permanent three-phase faults on any primary transmission line and associated components. It is assumed that a fault will be cleared by circuit breaker action in 5 cycles.
- Failure of a circuit breaker to clear a fault (“Stuck Breaker” condition) in 5 cycles, with back up clearing in 9 cycles after fault initiation
If the System is found to be unstable, then mitigation measures shall be identified and incorporated into the system improvement plans for future years.
Grid Frequency Variations
The Frequency of the NTDC Transmission System is nominally 50Hz and was maintained within the limits of 49.8 to 50.2 unless exceptional circumstances prevailed.
Grid Voltage Variations
Under (N-0) normal operating conditions, System Operating Voltages of the Total System were maintained within the bandwidth of +8% to –5% of Nominal System Voltage.
Under (N-1) contingency operating conditions, the voltage variation was in the range of +10% and –10% of Nominal System Voltage
Short Circuit (Fault Levels)
Short circuit calculations were prepared for each study year, and adequacy of fault interrupting capability and short circuit withstand capacity were ensured.
7.3 Typical Characteristics of NTDC Longitudinal Network
Pakistan is geographically a longitudinal country i.e. more likes a vertical rectangle and the same is true for the primary network of NTDC. The 500 kV network runs from Peshawar in the North to HUBCO near Karachi in the South (see Figure 7-1)
Figure 7-1 Existing/Committed/Planned 500/220 kV System
The maximum load is concentrated in the middle of the country where local generation potential is limited because of lack of fossil fuel resources and meagre hydropower potential in the plains. Hydropower generation potential is located in the North and thermal power generation sources are mainly in the South. The least cost Generation Plan (Base Case) developed for this Expansion Plan Study also envisages maximum hydropower generation located up in the North whereas the major thermal power plants based on indigenous and imported fossil fuel are located in South. Therefore during high water months when hydro power is at the maximum the power flows from the North to South, whereas in low water months when the thermal power in the South is run at its maximum, the power flow is reversed to be from the South to North. Long HVAC (500 kV or above) and HVDC lines are required to pump power from far North and far South to mid country where the maximum load is concentrated.
With insignificant local generation in mid-country, the huge reactive power (MVAR) demand would not be advisable to be supplied from power plants in the far North and far South as excessive flow of VARs would cause severe voltage drop across long and heavily loaded lines, therefore sufficient VAR sources would be required to be installed in terms of shunt capacitor banks at distribution level and, if required, at transmission level as well. Other dynamic VAR compensation devices such as SVCs, SVS, and other FACTS devices might be required to be installed at appropriate locations in mid-country.
In high water season when power flows mainly from hydropower plants in the North, the HVAC circuits in the South would be lightly loaded because of low dispatch of thermal power from the South and vice versa. The lightly loaded HVAC lines generate excessive VARs due to their high charging current and would require sufficient amount of shunt reactors, line connected or bus connected depending on the requirement. Therefore very careful levels of compensations, inductive and capacitive, are to be studied and planned.
7.4 Approach and Methodology
7.4.1 Inputs
The following input data has been assumed for the study cases:
- Load Forecast, base case scenario, prepared by NTDC and validated by SNC- Lavalin.
- Base Case Generation Expansion Plan developed for the NPSEP.
- Transmission network data file in PSS/E format supplied by NTDC for the years 2010 and 2014.
- All the ongoing and committed or planned transmission expansion plans of NTDC envisaged up to the year 2017-182016-17.
- Inputs from the other ongoing feasibility studies that have been incorporated are as follows:
- ± 500 kV HVDC Bipole for 1000 MW import of power from Iran (conducted by
NESPAK and SNC Lavalin) o± 500 kV HVDC Bipole for 1300 MW import of power from CASA (conducted by NESPAK and SNC Lavalin)
- Transmission scheme based on 500 kV double circuits using quad bundled Martin conductor for the evacuation of power from 26 hydropower plants to be located on the Indus River and its tributaries in Northern Areas of Pakistan (being conducted by PB/PPI/MAES)
- Transmission scheme for evacuation of power from indigenous and imported coal based thermal power plants in the South (Thar and Karachi) connecting with the Southern Grid at 500 kV and at ± 600 kV HVDC from South to mid-country (being conducted by NESPAK and SNC Lavalin)
7.4.2 Development of Study Cases
The study cases considered are described below:
- The spot years for the study was identified in agreement with NTDC corresponding to different intervals in which major generation additions occur as per Base Case Generation Expansion Plan, which are 2016, 2020, 2025 and 2030 respectively.
- The Base Case of the year 2020 was developed as a reference to develop the other spot years’ cases. The DISCO transmission expansion plan upto 132 kV level was developed till the year 2020 and used as the fundamental base case, superimposing the NTDC transmission infrastructure of 220 kV and 500 kV adequate to meet the DISCO transmission needs with proposed extensions, augmentations and construction of new 500/220 kV and 220/132 kV substations
- The Case for the year 2030 was developed to determine the ultimate scope of 220 kV and 500 kV transmission additions in the system to meet the projected forecast and the corresponding generation additions. The expansion of the DISCO transmission network up to 132 kV level was assumed frozen at the year 2020 and future projections of loads were assumed lumped at new 220/132 kV substations proposed to be constructed between 2020 and 2030.
- The cases for intermediate years of 2016 and 2025 were developed to determine the scope of transmission system expansion during the intermediate years.
- Standard tools of analysis for transmission expansion planning i.e. load flow, short circuit and transient stability analyses were employed using the software PSS/E of Siemens-PTI.
- Two cases each for high water (high hydro) and low water (high thermal) were studied for each spot year of study i.e. 2016, 2020, 2025 and 2030. Load flow simulations were carried out for normal (N-0) and contingency (N-1) conditions for each case to determine the adequacy of the proposed transmission facilities for each seasonal pattern of power flow
- Short circuit analysis was carried out for the calculation of maximum 3-phase and single-phase fault currents for the years 2020 and 2030 using IEC 909 as employed in PSS/E software.
- Transient stability analysis was carried out for the system of 500 kV for the years 2020 and 2030 employing the following standard worst case disturbance: o3-phase fault at bus bar with fault clearing time of 5 cycles oTrip of the heavily loaded circuit emanating from the bus bar oMonitor post fault damping of transients of rotor angles and power swings with recovery of voltage and frequency of the system
7.5 Transmission Expansion upto 2016-17
The major generation additions, including the committed and planned additions, requiring additional transmission facilities by the year 2016-17 summarized in below:
Power Plants | Type | Installed Capacity, MW | Commissioning Year |
Guddu New | CC | 747 | 2013-14 |
Haveli Bahadur Shah | CC | 3000 | 2015-16 |
Sahiwal | CC | 1450 | 2015-16 |
Neelum-Jehlum | Hydro | 969 | 2015-16 |
Thar/Imported Coal | Coal | 3000 | 2016-17 |
CHASHNUPP-III & IV | Nuclear | 680 | 2016-18 |
Import from Iran and CASA | Import | 2000 | 2016-17 |
Wind Power (Gharo/Jhimpir) | Wind | 1400 | 2012-17 |
To meet the forecasted demand and facilitate the evacuation of power from the committed and planned power plants by the year 2016-17, a corresponding transmission expansion plan was developed.
NTDC has provided their in-house developed transmission expansion plan till the year 201718. The plan envisages removing the present bottlenecks in the existing 500 kV and 220 kV network and substations which presently face severe congestions, overloadings and violations of Grid Code criteria. This plan has been incorporated in the load flow simulations for 2016-17 with some changes proposed for the evacuation of power from the New Hydropower Plants (PB/PPI/MAES Study) and for the Thar Coal and Imported Coal based thermal power plants (SNC-Lavalin/NESPAK Study).
Load flow studies for high hydro (low thermal) and low water (high thermal) have been performed for normal (N-0) and contingency (N-1) conditions for each case. The methodology of the study, the results and the detailed analysis are attached as part of Annexure 3.
The addition of transmission network necessary for the evacuation of power from the major power plants identified in the NPSEP by 2016-17 would be as follows:
• For Guddu–New (CCPP) o500 kV Guddu New CCPP – M. Garh S/C oIn-Out of Guddu – Multan 500 kV S/C at Guddu New (CCPP)
oIn-out D.G. Khan – Multan 500 kV S/C at M. Garh
- For Haveli Bahadur Shah (CCPP) o500 kV Haveli Bahadur Shah CCPP – Faisalabad-West D/C oIn/Out of M. Garh – Faisalabad-West S/C at Haveli Bahadur Shah CCPP
- For Sahiwal (CCPP) oIn/Out of Sahiwal–Multan 500 kV S/C at Sahiwal (CCPP)
- For Neelum-Jehlum (Hydro) oNeelum-Jehlum to existing Gujranwala (Gakhar) 500kV grid station 500kV D/C
- For Thar (Coal) oThar to Matiari switching station 500 kV D/C
- For Imported Coal (AES and Public Sector) oIn/Out of Hub-Jamshoro 500 kV S/C at AES oAES to Matiari 500 kV D/C oIn–out of AES-Matiari 500 kV S/C at Public Sector (Imported Coal) oIn-out of 500 kV Jamshoro-Moro S/C at Matiari
- For import of power from Iran o± 500 kV HVDC Bipoles from Zahedan to Quetta oQuetta - Quetta Ind. 220 kV D/CoQuetta – Mastung 220 kV D/C oQuetta – Loralai 220 kV D/C
- For import of power from CASA
- ± 500 kV HVDC Bipoles from Tajikistan to Peshawar
- In-out of Tarbela – Peshawar 500 kV S/C at Peshwar-2 (new
500/220kV substation) oIn-out of 220 kV Peshawar – Shahibagh S/C at Peshawar-2
- For CHASHNUPP-III and IV o220 kV Chashma New – Bannu D/C oIn-out of 220 kV D.I. Khan – Jauharbad S/C at Chashma New
- For two clusters of wind power plants at Gharo and Jhimpir o220 kV Jhimpir – T.M Khan Road D/C o220 kV Gharo – Jhimpir D/C
The new 500/220 kV grid stations at load centres planned to be added in the system by
2016-17 are: R. Y. Khan, D. G. Khan, Shikarpur, Peshawar-2, Islamabad-West, LahoreSouth and Faiselabad-West. Their connectivity with detailed load flow results is discussed in Annexure 3. There would be 38 new 220/132 kV grid stations planned to be added by 201617. The additions, augmentations, extensions at the 500 kV and 220 kV systems planned till 2016-17 to resolve congestion and overloading in the system are described in detail in Annexure 3 with the load flow study results.
7.6 Transmission Expansion from 2017-2020
The following are the major additions of power plants between 2017 and 2020 proposed in NPSEP:
Power Plants | Type | Installed Capacity, MW | Commissioning Year |
Thar | Coal | 2400 | 2017-18 |
Tarbela 4th Extension | Hydro | 960 | 2017-18 |
Karot | Hydro | 720 | 2017-18 |
Asrit-Keddam | Hydro | 215 | 2017-18 |
Madyan | Hydro | 157 | 2017-18 |
Thar | Coal | 4200 | 2018-19 |
Azad Pattan | Hydro | 222 | 2018-19 |
Chakothi | Hydro | 500 | 2018-19 |
Kalam-Asrit | Hydro | 197 | 2018-19 |
Gabral-Kalam | Hydro | 101 | 2018-19 |
Shogosin | Hydro | 127 | 2018-19 |
Shushgai | Hydro | 102 | 2018-19 |
Thar | Coal | 4200 | 2019-20 |
Chashma | Nuclear | 1000 | 2019-20 |
Suki Kinari | Hydro | 840 | 2019-20 |
Kaigah | Hydro | 543 | 2019-20 |
Thar | Coal | 2400 | 2020-21 |
Qadirabad | Nuclear | 1000 | 2020-21 |
Diamer Basha 1 | Hydro | 2250 | 2020-21 |
Bunji 1 | Hydro | 1800 | 2020-21 |
Wind Power (Total) | Wind | 400 | 2017-2021 |
Detailed load flow studies for high hydro (low thermal) and low water (high thermal) have been performed for normal (N-0) and contingency (N-1) conditions for each case. The already proposed interconnection schemes by NTDC for Neelum Jhelum and Karot hydro power plants in this time period as well as for Kohala hydropower plant in future have been modified. The study results and analysis with attached plotted results are part of Annexure 3.
The transmission additions necessary for the evacuation of power from the major power plants in the NPSEP between 2016-17 and 2020-21 would be as follows:
- For Thar Coal o± 600 kV HVDC 4000 MW Bipoles from Thar to Lahore-South with two converter stations of same capacity on both ends
- ± 600 kV HVDC 4000 MW Bipoles from Thar to Faiselabad-West with two converter stations of same capacity on both ends
- 500 kV D/C from Thar to Karachi new 500/220 kV substation at KDA-33
- For Karot oIn-out of one circuit of 500 kV D/C Neelum-Jehlum to Gujranwala via Aliot
- For Azad Pattan oIn-out of one circuit of 500 kV D/C Neelum-Jehlum to Gujranwala via Aliot
- For Diamer-Basha 1 and Bunji 1 oBasha-Chilas 500 kV D/C oBasha-Mardan New 500 kV D/C via Swat Valley oBunji-Chilas 500 kV D/C oThree 500 kV Switching Stations/Substations at Chilas, Aliot and Mardan with the following arrangements:
- Mardan New 500/220 kV substation to feed local loads
- Aliot 500/220 kV substation to connect to Chakothi HPP at 220 kV oIn-out Neelum Jehlum - Gujranwala 500 kV D/C at Aliot Switching Station oAliot to Islamabad West 500 kV D/C
- Aliot to Lahore North 500 kV D/C (with a new 500/220 kV substation of Lahore North)
- For Gabral-Kalam, Kalam-Asrit, Asrit-Kedam, and Madyan (Swat Valley HPPs) oIn-out one each of Basha-Mardan New 500 kV D/C at each of Swat HPPs
- For Shogosin, Shushgai and Golen Gol (Chitral Valley HPPs)
- Chitral 220/132 kV substation to collect power from all HPPs at 132 kV oChitral-Chakdara 220 kV D/C
- For Suki Kinari oIn-out of one circuit of 500 kV D/C Chilas-Aliot
- For Chakothi oChakothi-Aliot 220 kV D/C
- For Chashma Nuclear oChashma-Ludewala 500 kV D/C
- For Qadirabad Nuclear o Qadirabad Nuclear Power Plant to Gujranwala (Gakkhar) 500 kV D/C
- For Kaigah oKaigah-Mardan New 500 kV D/C (operated as an interim arrangement until the commissioning of 2ndstage of Basha).
(This plant would be advisable to be built in the timeline of 2nd stage of Basha. In that case, its interconnection would be In-out of Basha-Mardan 500 kV S/C at Kaigah.
The expansion of the 500 kV network in and around big load centres such as Peshawar, Islamabad, Lahore, Faisalabad and Karachi has been proposed in such a manner that a ring of 500 kV encircles them with stage by stage additions for the new 500/220 kV substations as needed in future years described below:
- Peshawar-2 - Mardan New 500 kV D/C
- Islamabad-West:- Aliot 500 kV D/C
- Lahore-South to be built as big power-hub of HVDC and HVAC connecting with 500kV ring around Lahore.
- Lahore-North with D/C 500 kV ring connecting with, Gujranwala, Lahore-South and Lahore-Old
- Faisalabad-West to be built as big power-hub of HVDC and HVAC connecting with 500 kV ring around Faisalabad. It will have 500/220/132 kV substation as well.
- 500/220 kV at Karachi (near KDA-33) connecting with NKI, HUB and new Coalbased plants to form a ring of 500 kV around Karachi.
Other significant additions, augmentations and extensions of 500/220 kV and 220/132 kV substations are:
- New 500/220/132 kV grid stations at Gujrat, Ludewala and Vehari connected respectively as follows:
- In-Out Aliot-Lahore-N 500 kV S/C at Gujrat oChashma-Ludewala 500 kV D/C oIn-Out Sahiwal-Multan 500 kV S/C at Vehari
- Augmentations/Extensions at 500/220 kV grid stations of Peshawar-2, Islamabad-W, Gujranwala, Lahore-S, Rewat, Sahiwal, Matiari, Moro and NKI
- New 220/132 kV grid stations at Qasimpur (Multan), New Larkana, New Hala, Bhakkar and Sh. Manda (Quetta)
- Twenty three (23) Augmentations/Extensions at 220/132 kV grid stations
- The sizes of 500/220 kV transformer banks are to be multiples of 750 MVA or 1000 MVA for all the new 500/220 kV grid stations and multiples of 250 MVA or 350 MVA for all the new 220/132 kV substations as per requirement
The results of detailed load flow studies with connectivity of all the new 500kV and 220 kV grid stations are discussed in Annexure 3.
7.7 Transmission Expansion from 2021-2030
For the period from 2021-22 to 2029-30, the major generation additions comprise major chunks of thermal power at Thar coal fields and hydro power plants in the Northern Areas across the Indus and its tributaries. The major plants are as follows:
Power Plants | Type | Installed Capacity, MW | Commissioning Year |
Bhikki | CC | 1400 | 2021-22 |
Thar | Coal | 600 | 2021-22 |
Bunji 2 | Hydro | 1800 | 2021-22 |
Kohala | Hydro | 1100 | 2021-22 |
Munda | Hydro | 735 | 2022-23 |
Bunji 3 | Hydro | 1800 | 2022-23 |
Diamer Basha 2 | Hydro | 2250 | 2022-23 |
Palas Valley | Hydro | 580 | 2022-23 |
Power Plants | Type | Installed Capacity, MW | Commissioning Year |
Thar | Coal | 2400 | 2023-24 |
Dasu | Hydro | 4320 | 2023-24 |
Lower Spatgah | Hydro | 496 | 2023-24 |
PAEC (Karachi) | Nuclear | 1000 | 2023-24 |
Thakot | Hydro | 2800 | 2024-25 |
Pattan | Hydro | 2800 | 2024-25 |
PAEC (Karachi) | Nuclear | 1000 | 2024-25 |
Thar | Coal | 3600 | 2025-26 |
Dhudnial | Hydro | 792 | 2025-26 |
Tungas | Hydro | 2000 | 2026-27 |
Yulbo | Hydro | 2400 | 2026-27 |
D. I. Khan | CC | 1400 | 2026-27 |
Thar | Coal | 6000 | 2027-28 |
PAEC (Karachi) | Nuclear | 1000 | 2027-28 |
Thar | Coal | 4800 | 2028-29 |
Chashma | Nuclear | 1000 | 2028-29 |
Thar | Coal | 6000 | 2029-30 |
Balloki | CC | 1400 | 2029-30 |
Wind Power(Total) | Wind | 3600 | 2021-30 |
Detailed load flow studies for high hydro (low thermal) and low water (high thermal) have been performed for normal (N-0) and contingency (N-1) conditions for each case. The study results and the analysis with the attached plotted results are part of Annexure 3.
The essential transmission additions for the evacuation of power from the major power plants in NPSEP between 2020-21 and 2030 would be as follows:
- For Bhikki oIn-out Lahore-Gatti 500 kV S/C
- For Thar Coal
- For Thar Coal oThree ± 600 kV HVDC 4000 MW Bipoles from Thar to Lahore-South with six converter stations of same capacity on both ends
- Two ± 600 kV HVDC 4000 MW Bipoles from Thar to Faisalabad with four converter stations of same capacity on both ends
- One ± 600 kV HVDC 4000 MW Bipoles from Thar to Multan with two converter stations of same capacity on both ends
- Three 500 kV D/Cs from Thar to Matiari oTwo 500 kV D/Cs from Matiari to Moro- o500 kV D/C from Moro to R. Y. Khan oTwo 500 kV D/Cs from Thar to Karachi (Karachi-East)
- For Bunji 2 and 3 o500 kV D/C from Bunji to Chilas o500 kV D/C from Chilas to Aliot
- For Basha-2 oIn-out Basha-1 to Chilas 500 kV D/C
- For Munda oIn-Out Peshawar-2 (Pajjagi Rd.) - Ghalanai 220 kV S/C o Munda – Mardan New (Charsaddah) 220 kV D/C
- For Kohala oIn-out Neelum-Jehlum to Aliot 500 kV D/C
- For Palas Valley oPalas-Valley to Mansehra 500 kV D/C
- For Dasu oDasu-Mansehra 500 kV D/C oDasu to Palas-Valley 500 kV D/C
- For Lower Spatgah oIn-Out one circuit of Dasu-Palas Valley 500 kV D/C
- For PAEC Karachi o500 kV D/C from PAEC to Karachi-South o500 kV D/C from Karachi-South to Karachi-East
For Wind Power Cluster at Jhimpir oIn-Out one circuit of Karach East-Matiari 500 kV D/C
- For Wind Power Cluster at Gharo oIn-Out Thar-Karachi-East 500 kV D/C
- For Thakot oThakot-Mansehra 500 kV D/C
- For Pattan oPattan-Thakot 500 kV D/C oThakot-Mardan 500 kV D/C
- For Dhudnial oDhudnial - Neelum Jehlum 500 kV D/C
- For D.I. Khan (CCPP) o Connect at 220 kV substation of D.I. Khan
- For Yulbo oYulbo-Bunji 500 kV 3 circuits (one D/C and One S/C)
- For Tungus oTungus-Yulbo 500 kV D/C
- For Chashma (Nuclear) oChashma-Bannu 500 kV D/C
- For Balloki oIn-Out Lahore-South to Okara (Sahiwal) 500 kV D/C
A switching station/substation of 500/220 kV is proposed to be built at Mansehra to collect power from Dasu and its neighbouring Lower Spatgah and Palas Valley HPPs. It will also collect part of power from Pattan and Thakot HPPs.
Since the bulk of big hydropower plants in the Northern Areas at the Indus and its tributaries have been added during 2021-2030, and all that power is being collected at the intermediate stations of Aliot, Mansehra and Mardan, more circuits would be required to be built from the intermediate stations to the main load centres as follows:
- 500 kV D/C Aliot to Lahore-North (as already mentioned);
500 kV D/C from Aliot to Islamabad-North;
- 500 kV D/C from Mansehra to Gujranwala via Qadirabad Nuclear PP
- 500 kV D/C from Mansehra to Faisalabad–West;
- 500 kV D/C from Mansehra to Faisalabad–East;
- 500 kV D/C from Mardan to Bannu 500 kV S/S
- 500 kV D/C from Mardan to Faisalabad-West.
New 500/220 kV grid stations have been proposed to be added in the 500 kV ring proposed earlier around the big load centres of Islamabad, Lahore, Faiselabad and Karachi as follows:
- 500/220 kV Islamabad North grid station: with in-out of Aliot-IslamabadWest 500 kV D/C and one direct 500 kV D/C of to Rewat to complete the 500 kV ring around Islamabad.
- 500/220 kV Lahore–East grid station connected by looping in-out 500 kV D/C between Lahore-North and Lahore-South.
- 500/220 kV Faisalabad–East (or North-East) grid station connected through 500 kV D/C connections with Gatti and Faisealabad-W to complete the 500 kV ring around Faiselabad.
- Two 500/220 kV grid stations at Karachi-South and Karachi-East connected to each other through 500 kV D/C ring already connecting KDA, NKI, HUB and new coalbased and nuclear power plants to form a strong ring of 500 kV around Karachi.
Other significant additions, augmentations and extensions of 500/220 kV and 220/132 kV substations are:
- New 500/220/132 kV grid stations at Sialkot, Okara and Bannu connected respectively as follows:
oIn-out Aliot-Lahore-N 500 kV S/C at Sialkot oIn-Out Balloki-Sahiwal 500 kV D/C at Okara oBannu-Mardan New and Bannu Chashma 500 kV D/Cs (already discussed above)
- Twenty nine (29) Augmentations/Extensions at 500/220 kV grid stations.
- Sixty one (61) New 220/132 kV grid stations.
- Sixty Eight (68) Augmentations/Extensions at 220/132 kV grid stations.
The sizes of 500/220 kV transformer banks are to be multiples of 1000 MVA or 750
MVA for all the new 500/220 kV grid stations to be added between 2021and 2030. Also the multiples of 250 MVA or 350 MVA for all the new 220/132 kV substations to be used as per requirement.
The results of detailed load flow studies with connectivity of all the new 500kV and 220 kV grid stations are discussed in Annexure 3.
7.8 Short Circuit Analysis
The Short Circuit Analysis was carried out for the years 2020 and 2030. The standard IEC 909 technique was used as embedded in PSS/E to calculate the maximum short circuit currents under 3-phase and single-phase fault conditions at all the bus bars of 500 kV and 220 kV. The results are plotted and tabulated in Annexure 3.
The fault levels that resulted from this analysis indicated some very high fault currents at big hydropower plants such as Bunji, Basha, Yulbo, Tungus who are grouped together, and at Thar coal field where current sources are quite closely grouped. For hydropower plants, due to constraints of transmission corridors, they have been grouped together as described and may require the breaker’s rupturing capacities of 63 kA. However for Thar coal power plants, the different blocks of power plants can be kept isolated electrically to mitigate the fault levels within the available standard breaker’s ratings of 63 kA.
7.9 Stability Studies
Transient stability studies have been performed for the years 2020 and 2030 as follows:
- 3-phase faults on a bus cleared in 5 cycles followed by the tripping of heavily loaded 500kV circuit emanating from that bus;
- All the loads were modelled as static loads with maximum stringent assumptions of 100 % constant current for active power and 100 % constant impedance for reactive power;
- Power System Stabilizers (PSS) were assumed on all the new proposed generating units and at some existing power plants South of Multan;
- The values monitored and recorded in simulations were:
- Rotor Angles of Generators;
- Power flow swings on the healthy circuit or circuits impacted to carry maximum power flow due to trip of the faulted circuit;
- Voltage; and, oFrequency.
- All the results of stability simulations are discussed and attached in Annexure 3. In general, from the stability study results, it is observed that there is no problems of angular stability in the system. All the transients damp down within 2-3 seconds after the clearance of faults in almost all the simulations.
- The expansion plan has progressively assumed to adopt higher ratings of equipment as follows:
- 500/220 kV transformers to be 750 MVA in general and 1000 MVA for grid stations in big load centres such as Lahore, Karachi and Faisalabad
- 220/132 kV transformers to be 250 MVA in general and 350 MVA for grid stations in big load centres such as Lahore, Karachi, Islamabad, Peshawar, Faiselabad and Multan.
- 500 kV lines to be double circuit quad bundled using Martin conductor (ACSR) in North and mid country; and Araucaria (AAAC) in South.
- The space in the existing 500/220 kV and 220/132 kV grid stations should be utilized for conversion, augmentation and/or extension to enhance their capacity to have at least four transformers each of 500/220 kV and 220/132 kV depending on the availability of space
- Reconductoring or replacement of all existing 220 kV lines of single conductor to twin-bundled Rail or Greeley conductors
- 220/132 kV grid stations have been proposed in thickly populated areas of big load centres through:
7.10 Recommendations
GIS grid stations of 220/132 kV
Underground cables (XLPE) of 220 kV to interconnect these grid stations with the main NTDC grid.
- Short circuit analysis has been carried out for the spot years of 2020 and 2030 and uprating of switchgear has been proposed at existing and future grid stations as follows:
- 500 kV: short circuit ratings to be 63 or 50 kA o 220 kV: short circuit rating to be 63 or 50 kA
- 132 kV: short circuit rating to be 50 or 40 kA
- Transient stability study has been performed for the spot years of 2020 and 2030 by applying the most severe 3-phase permanent fault and final trip of the faulted circuit.
It is recommended to have; o Power System Stabilizers (PSS) to be installed at all the existing and future new power plants.
- Dynamic System Monitors (DSM) to be installed at all the 500/220 kV grid stations for real time recording of voltage, currents, frequency etc. to be used for post-mortem analysis and for tuning of dynamic data of generators and dynamic loads in the system.
- The upcoming problem in the NTDC longitudinal problem having sources of generation in the far North or far South and load concentrated in mid-country, would be the deficiency of reactive power (VAR) supply for the load centres. To overcome this problem the following assumptions were made:
- Switched shunt capacitor banks at all levels 11 kV, 132 kV and 220 kV if necessary. However the bottom line should be to provide reactive power compensation as close to the load as possible.
- Dynamic reactive power compensation devices such as SVC, SVS and other FACTS controllers. The present plan has quantified the requirement and locations in terms of switched shunt capacitor banks, which can be categorized in terms of SVC, SVS and/or FACTS through a detailed voltage stability study.
- Detailed voltage stability study is required to be carried out for the entire NTDC system using carefully selected composite load model comprising mix of dynamic and static loads, to optimally quantify and locate the dynamic reactive power compensation to overcome slow recovery of voltage after fault clearance, a phenomena common in the system where air-conditioning load is significantly increasing which is now commonplace in Pakistan.
- Complimentary studies considering HVDC faults are to be undertaken with both single pole and bipole outages. These studies are intended to assess the system stability and indicate, if necessary, the requirement to provide overload capacity on the HVDC lines and converters.
- Capacity building of NTDC Planning engineers for the upcoming challenges and new devices proposed in the expansion plan, especially SVC, FACTS and HVDC.
7.11 Cost Estimate of Transmission Expansion
7.11.1 Total requirement (BOQs) between 2017 and 2030
The following table shows the total additional reinforcements required for the NTDC network till the year 2030 over and above the ongoing, committed and planned till 2016-17:
Items* | Between 2017-2020 | Between 2021-2030 |
220 kV D/C lines (kM) | 270 | 2,623 |
500 kV D/C Lines (kM) | 5394 | 6700 |
220/132 kV transformers/substations (MVA) | 19,850 | 79,600 |
500/220 kV transformers/substations (MVA) | 25,800 | 68,150 |
± 500 kV HVDC Bipole Converters (MW) | 2X(1X1,000) | _ |
±500kV HVDC Bipole Transmission line (kM) | 654 | - |
± 600 kV HVDC Bipole Converters (MW) | 2X(2X4,000) | 6x(2x4,000) |
±600kV HVDC Bipole Transmission line (kM) | 2000 | 5770 |
*Lengths for lines crossing international boundaries only include Pakistan component
7.11.2 Total Cost
The following table indicates the total investments required till 2030
Item* | Million PKR | Million USD |
Projects already committed /Planned to be completed by 2017-18 but not yet funded | 428,000 | 5,350 |
Projects proposed from 2017 to 2020 | 569,440 | 7,118 |
Projects proposed from 2021 to 2030 | 1,163,360 | 14,542 |
Total | 2,160,800 | 27,010 |
*Cost for lines crossing international boundaries only include Pakistan component. Costs are based on US$ 1= PKR 80
7.12 Transmission Network in 2030
The network in horizon year of the study (2030) is shown is shown on the next page.
8 EXPANSION PLAN FOR DISCO TRANSMISSION
8.1 Objectives
The already proposed distribution system upgrades in each of the DISCOs will be further upgraded in coordination with the development of the National Power System Expansion Plan (NPSEP). The additional reinforcements required at the secondary voltage levels for the years 2015, 2016, 2018 and 2020 were identified for each DISCO. In addition, an estimate of the capital investments required to accept the power as delivered on the high voltage system and to transmit it to the load centres they serve was prepared working closely with teams of counterparts from each DISCO.
The objective of the DISCO was to determine the reinforcement required during the planning horizon, to evaluate the performance of the DISCO Secondary Transmission System expansion plans in four study years of 2015, 2016, 2018 and 2020, as well as to prepare an estimate of the investment costs.
This was accomplished through the following activities:
- A load flow analysis was performed for each DISCO network based on the load forecast at each study year and the local expansion plans using agreed upon planning criteria. The required system reinforcements proposed were selected to alleviate the bus voltage and/or line overloading problems in the most technically and cost effective way.
- The short circuit calculations were performed for each DISCO only for the last developed year (Year 2020) to check the value of the fault current at each bus. Any recorded short circuit problems encountered would be solved by reconfiguring the system at these specific locations.
The specific tasks of the secondary transmission expansion plan were to:
- Expand the 132 kV and 66 kV systems;
- Identify the 132/11 kV and 66/11 kV new substations as well as extensions and augmentations for the existing 132/11 kV and 66/11 kV transformers ;
- Verify that the 132 kV and 66 kV systems satisfy the planning criteria;
- Verify that the short circuit levels at the 132 kV and 66 kV systems are within the permissible limits.
8.2 Study Cases
In the context of the master plan, the secondary transmission system expansion plan provides the system upgrade required for the spot years 2015, 2016, 2018 and 2020 that will allow the planned generation to serve the forecasted load under both normal and contingency conditions.
While short circuit calculations were performed only for the year 2020 peak load case, load flow analysis was performed for the following four peak load study years:
- June 2015 peak load case
- June 2016 peak load case
- June 2018 peak load case
- June 2020 peak load case
Each case has been analyzed under both normal and contingency conditions. System reinforcements including transmission lines and reactive power compensations were defined as appropriate.
8.3 Input Data
The following served as input data for the studies:
- Existing 2010 or 2011 system data
- Load forecasts, individual grid stations and DISCO peaks (diversified), up to the year 2020
- Planned/committed system expansions of DISCOs up to 2015.
- Load flow base cases for year 2010 and 2014 provided by NTDC
The above data / information was used for building the base cases for the future years of 2015, 2016, 2018 and 2020.
8.4 Load Forecast
For each Distribution Company (DISCO), load forecast for each grid station was developed as summarized in the following steps (more details are presented in the Load Forecast Report):
- Data used is the 11 kV feeder-wise and tariff category-wise sales. It also includes the maximum demand of medium and large industries for the base year.
- These sales are converted into peak demand using the load factors and diversity factors.
- Growth rate on each category is applied and spot loads are added.
This way the peak demand of the next year at a grid station is forecasted. A diversity factor would be applied to each DISCO peak to get the diversified DISCO peak load, as given in Table 8-2 (e.g. 25,970 MW by Year-2015). The latter (diversified DISCO peak) is the value to be used in DISCO transmission planning (66-132 kV network).
As can be seen from Tables 8-1 and 8-2, the average diversity factor used for all DISCOs was 88%. A further diversity factor among the DISCO peaks was applied to get the “System Peak” which is the value to be used on the transmission level (220 kV and higher). This diversity factor is in the range of 90-96%.
Table 8-1 Load forecast: Non-diversified DISCO Totals
| DISCO | | Total Load (MW) | | |
No. | Name | 2015 | 2016 | 2018 | 2020 | DF * |
1 | PESCO | 3516 | 3658 | 3943 | 4203 | 88% |
2 | IESCO | 3407 | 3710 | 4405 | 5037 | 85% |
3 | GEPCO | 2787 | 2944 | 3284 | 3657 | 90% |
4 | LESCO | 5965 | 6290 | 7003 | 7755 | 84% |
5 | FESCO | 3985 | 4233 | 4818 | 5583 | 83% |
6 | MEPCO | 4233 | 4438 | 4868 | 5387 | 91% |
7 | HESCO | 3083 | 3282 | 3722 | 4261 | 85% |
8 | QESCO | 1767 | 1857 | 2054 | 2284 | 98% |
10 | TESCO | 1097 | 1169 | 1322 | 1450 | 88% |
| Total | 29839 | 31580 | 35419 | 39617 | |
* - DF: Diversity factor
Table 8-2 Load forecast: Diversified DISCO totals
DISCO | Total Load (MW) | |
No. | Name | 2015 | 2016 | 2018 | 2020 |
| | | | | |
1 | PESCO | 3091 | 3211 | 3452 | 3674 |
2 | IESCO | 2891 | 3148 | 3738 | 4273 |
3 | GEPCO | 2500 | 2641 | 2945 | 3279 |
4 | LESCO | 5027 | 5302 | 5905 | 6538 |
5 | FESCO | 3289 | 3493 | 3974 | 4604 |
6 | MEPCO | 3860 | 4045 | 4432 | 4902 |
7 | HESCO | 2607 | 2773 | 3143 | 3596 |
8 | QESCO | 1738 | 1827 | 2020 | 2246 |
10 | TESCO | 968 | 1031 | 1166 | 1278 |
| Total | 25970 | 27471 | 30773 | 34391 |
8.5 Secondary Transmission Planning Criteria
The planning of the Secondary Transmission System considers the operation of a power system under two possible situations, that is:
- Normal operating conditions (N-0): the Secondary Transmission System (66-132 kV) infrastructure is entirely available (no equipment has been considered out of service).
- Contingency operating conditions (N-1): one of the Secondary Transmission System equipment (line or transformer) is out of service. In this study, only outage of transmission lines rated at 132 kV (or 66 kV) within each DISCO was considered.
For each of these operating conditions, the following criteria were applied to the analyses:
System Voltage Criteria
The acceptable voltage range for operating the system based on factors such as equipment limitations and motor operation under normal and contingency conditions is as follows:
Condition | Acceptable Voltage Range |
Normal System Conditions | 95% - 105% (±5%) |
Contingency Conditions | 90% - 110% (±10%) |
It is important to note that from an operational standpoint, healthy systems usually target a voltage close to 1.0 pu at 132 kV (or 66 kV) voltage levels.
Equipment Thermal Loading Criteria
The Secondary Transmission System shall be planned to allow all transmission lines and equipment to operate within the following limits for the following defined conditions:
Condition | Thermal Loading Limit |
Normal System Conditions | Defined Normal Load Capacity |
System Design Contingencies of Long Duration (i.e. an outage involving the failure of a transformer) | Defined Normal Load Capacity |
System Design Contingencies of Short Duration (i.e. not involving a transformer) | Defined Emergency Load Capacity (120% of normal rating for 10 hours per year) |
However; as per discussion with the NTDC Planning Engineers, the line loading under contingency conditions (N-1 analysis) will be based on the normal rating (Rating A).
8.6 Methodology
The methodology followed to accomplish the objectives of this project is summarized in the following steps;
- The load flow case representing the current system (either 2010 or 2011) has been modified to include the 11 kV network. Each 132 kV or 66 kV bus was expanded to model the 132/11 kV or 66/11 kV transformers. Loads have then been placed at the 11 kV side along with the shunt capacitor banks, if any. The actual measured values of bus voltages, power factors, active and reactive power 9energy), and loadings on lines and transformers were matched with the simulated solutions to determine the actual power factors of loads at different substations. These calibrated power factors were used for modelling of loads (MW/MVAR) while developing the simulation cases of each spot year.
- For building the Year-2015 case, each DISCO network in the starting base case of Year-2014 was replaced by the detailed model developed at step-1.
- Loads were updated based on the load forecast values for Year-2015, including the addition of the new grid stations as appropriate and the established load power factor. All the`` sub-projects planned under ADB Tr-I, Tr-2 and PSDP or 6thSTG would be a part of the interconnected network in the Year-2015 base case.
- The generation schedule on the transmission level (220 kV and higher) would be increased (if necessary) to match the load level. By completing this step, each DISCO would have an updated load flow case for Year-2015.
- For each updated Year-2015 DISCO case, the 132 and 66 kV systems were analysed under both normal (N-0) and contingency (N-1) conditions. As a result of this analysis, system reinforcements were added as necessary. Then the new Year2015 case with reinforcements was re-analysed under (N-0) and (N-1) conditions to make sure that the system satisfy the planning criteria.
- The DISCO base cases for Year-2016 were built starting from the Year-2015 cases. Then steps 3-5 described above were followed. The process continues for building the other two cases for years 2018 and 2020.
- Short circuit calculations were performed only for the last study year; by combining all DISCO cases in one composite simulation case for year 2020. Maximum short circuit currents were calculated using IEC 909 standards.
- State of art software PSS/E of Siemens-PTI was used for all simulation analysis of load flow and short circuit analysis.
8.7 Study Results
8.7.1 Load Flow Study Results
The results for each DISCO are provided in Annexure 4 which shows the reinforcements required for each of the years.
The base case for each DISCO was developed using the existing 2010 or 2011 system data, the starting NTDC base case for 2014, the load forecast (2015-2020), and planned/ committed system expansions of DISCOs up to 2015.
The load flow results are given for each DISCO independently in three main activities:
- Analyzing the developed case under both normal (N-0) and contingency (N-1) conditions;
- Identifying system reinforcements as appropriate; and,
- Re-checking the system under (N-0) and (N-1) with system reinforcements.
8.7.2 Short Circuit Study for Year-2020 Base Case
The three-phase and single-phase-to-ground symmetrical fault currents were calculated based in IEC 909 Standards for each DISCO. An updated Year-2020 load flow case including all DISCO networks was used in the calculations. The calculations considered the maximum thermal generation in South and the maximum hydro generation in North.
For the short circuit calculations, the following assumptions were made:
a) Bus voltages are set at 1.1+j0.0 pu;
b) Generator outputs are set at zero;
c) Pre-fault loading conditions are neglected;
d) Transformer turns ratios are set at 1.0 and phase shifts are not modelled;
e) Line charging and positive sequence shunt admittances are neglected;
The complete short circuit results for grid stations of DISCOs are given in Annexure 4.
8.8 Cost Estimate
The cost estimate for each DISCO’s future projects was prepared on the following basis:
a) The same unit cost (with a little mismatch) was used for all DISCOs;
b) The cost estimate was prepared for each study year; 2015, 2016, 2018 and 2020; and,
c) The cost estimate was first prepared in PKR, and then converted to USD at a rate of
1.0 USD is equal to 80.0 PKR.
8.8.1 Unit Cost
A general unit cost sheet was prepared for all DISCOs, as given in The unit costs for DISCO Transmission Expansion are given in Table 8.3. A summary of the cost estimates of all DISCOs is given in Table 8-4 in MPKR and in Table 8-5 in MUSD.
Table 8-3. A slight modification was made in some cases for more accurate cost estimate based on the prices at each DISCO. The following grid station notations were used in The unit costs for DISCO Transmission Expansion are given in Table 8.3. A summary of the cost estimates of all DISCOs is given in Table 8-4 in MPKR and in Table 8-5 in MUSD.
Table 8-3:
a) Augmentation:replacement of an existing power transformer in a grid station with a larger one, including the switchgear, if needed;
b) Extension:addition of a power transformer to an existing grid station, including the switchgear if needed;
c) Fixed Capacitors:the capacitor banks would be switched manually; and
d) Switched Capacitors:the capacitor banks would be switched automatically based on the voltage settings.
8.8.2 Cost of Reinforcements
The cost of the proposed system reinforcements was estimated to be 116,092 MPKR which is equal to US$ 1,451 million for all the DISCOs combined. While this costing information is not directly used in the NPSEP, it does indicate the level of investment that the DISCOs must make so NTDC can strengthen, reinforce and expand the existing transmission plan as per the NPSEP.
The unit costs for DISCO Transmission Expansion are given in Table 8.3. A summary of the cost estimates of all DISCOs is given in Table 8-4 in MPKR and in Table 8-5 in MUSD.
Table 8-3 Unit Cost for DISCO Systems Expansion
Sr. No | Type of Investment | Estimated Cost in Million Rs | Estimated Cost in Million US $ |
1 | Augmentations | 26 MVA | 49.200 | 0.615 |
40 MVA | 62.730 | 0.784 |
60 MVA* | | |
2 | Extensions | 13 MVA | 42.560 | 0.532 |
26 MVA | 53.200 | 0.665 |
40 MVA | 67.830 | 0.848 |
60 MVA* | | |
3 | New Sub-Station | GIS | 520.000 | 6.500 |
Sr. No | Type of Investment | Estimated Cost in Million Rs | Estimated Cost in Million US $ |
| with 2x40 MVA PTRFs | AIS Turnkey | 260.000 | 3.250 |
AIS Departmentally | 173.333 | 2.167 |
4 | New Sub-Station with 2x26 MVA PTRFs | GIS | 480.000 | 6.000 |
AIS Turnkey | 220.000 | 2.750 |
AIS Departmentally | 146.667 | 1.833 |
5 | New D/C T/Line with Rail Conductor per Km | On Poles, D/C per Km | 14.500 | 0.181 |
One Towers, D/C per Km | 9.000 | 0.113 |
6 | New D/C Cable per Km | D/C 800mm2 | 200.000 | 2.500 |
7 | Fixed Capacitors (11 kV) | New (7.2 MVAR) | 4.430 | 0.055 |
Addition (1.2 MVAR) | 0.250 | 0.003 |
Addition (2.4 MVAR) | 0.837 | 0.010 |
Addition (3.6 MVAR) | 3.160 | 0.040 |
Replacements/additions | | |
Fixed Capacitors (132 kV) | New (12 MVAR) | 8.433 | 0.105 |
New (24 MVAR) | 16.866 | 0.211 |
New (36 MVAR) | 25.300 | 0.316 |
New (48 MVAR) | 33.733 | 0.422 |
Switched Capacitors (11 kV) | New (7.2 MVAR) | 6.645 | 0.083 |
Addition (1.2 MVAR) | 0.375 | 0.005 |
Addition (2.4 MVAR) | 1.256 | 0.016 |
Addition (3.6 MVAR) | 4.740 | 0.059 |
Replacements/additions | | |
Switched Capacitors (132 kV) | New (12 MVAR) | 12.650 | 0.158 |
New (24 MVAR) | 25.299 | 0.316 |
New (36 MVAR) | 37.950 | 0.474 |
New (48 MVAR) | 50.600 | 0.633 |
*Assumed 125 % of the cost of 40 MVA transformers Table 8-4 DISCOs Cost Estimate 2015-2020 in MPKR
No. | DISCO | Year-2015 | Year-2016 | Year-2018 | Year-2020 | Total |
1 | FESCO | 3,968.7 | 1,571.9 | 3,711.9 | 3,052.3 | 12,305 |
2 | GEPCO | 1,996.3 | 872.9 | 62.7 | 696.5 | 3,628 |
3 | HESCO | 14,944.4 | 5,540.6 | 3,970.0 | 2,296.0 | 26,751 |
4 | IESCO | 893.7 | 2,096.7 | 1,880.2 | 428.8 | 5,299 |
5 | LESCO | 8,952.7 | 938.5 | 1,197.1 | 5,346.4 | 16,435 |
6 | MEPCO | 11,201.6 | 5,556.1 | 2,583.2 | 3,071.7 | 22,413 |
7 | PESCO | 3,135.0 | 788.8 | 4,088.7 | 3,490.1 | 11,503 |
8 | QESCO | 6,614.3 | 940.3 | 2,209.6 | 5,239.2 | 15,003 |
9 | TESCO | 1,761.6 | 52.3 | 694.0 | 248.0 | 2,756 |
| Total | 53,468 | 18,358 | 20,397 | 23,869 | 116,092 |
Table 8-5 DISCOs Cost Estimate 2015-2020 in MUSD
No. | DISCO | Year-2015 | Year-2016 | Year-2018 | Year-2020 | Total |
1 | FESCO | 49.6 | 19.6 | 46.4 | 38.2 | 154 |
2 | GEPCO | 25.0 | 10.9 | 0.8 | 8.7 | 45 |
3 | HESCO | 186.8 | 69.3 | 49.6 | 28.7 | 334 |
4 | IESCO | 11.2 | 26.2 | 23.5 | 5.4 | 66 |
5 | LESCO | 111.9 | 11.7 | 15.0 | 66.8 | 205 |
6 | MEPCO | 140.0 | 69.5 | 32.3 | 38.4 | 280 |
7 | PESCO | 39.2 | 9.9 | 51.1 | 43.6 | 144 |
8 | QESCO | 82.7 | 11.8 | 27.6 | 65.5 | 188 |
9 | TESCO | 22.0 | 0.7 | 8.7 | 3.1 | 34 |
Total | | 668 | 229 | 255 | 298 | 1,451 |
8.9 Recommendations
a) Following uprating of equipment should be considered in medium to long term perspective:
- 132/11 kV transformers of 31.5/40 MVA should at least be used for urban centres. The next factory standard higher size of 60/67 MVA size may be also be considered to be used in thickly populated urban centre grid stations.
- For 132 kV lines the twin bundled circuits using Rail or Greeley conductors may be considered especially in big urban centres. iii. For 132 kV switchgear, the symmetrical short circuit rating should be 40 kA or higher.
b) The capacitor banks should always be specified as follows:
- Switched shunt instead of fixed
- Switching of the steps of capacitor banks should be controlled by Programmable Logic Controller (PLC) to regulate voltage within permissible range during high and low load conditions iii. The current limiting reactors should be used in series with the capacitor banks to limit the in-rush current at the time of switching of the capacitor banks. iv. The detuning capacitors may also be used in series with the capacitor banks if parallel-resonance of odd harmonics is found to occur at any substation
c) All T-Off connections of substations should be changed to proper in-out looping of the circuit. The present practice of connecting the substations through T-Off may be abandoned in future, only proper in-out looping should be used.
d) The present expansion plan has applied N-1 criteria on lines only and not at 132/11 kV transformers due to huge investment anticipated. However policy should be laid down to achieve N-1 criteria at 132/11 kV transformers in long term perspective.
e) The updating of DISCO Transmission Expansion Plan should be an ongoing activity. The present structure of Planning sections in DISCOs is flawed in terms of the fact that planning and studies is not considered as an ongoing continuous activity. The engineers supposed to be busy on this continuous activity are assigned on many other field related tasks such as project monitoring etc. and they are not dedicated for the activity of planning and studies. A dedicated Planning and Studies Section must be restructured for this purpose.
Capacity building of Planning and Studies engineers of DISCOs should also be carried out on regular basis in terms of updating of software such as PSS/E including the modules of load flow, short circuit analysis and dynamic stability analysis. Also they should be equipped with modern load forecasting techniques and respective software.
9 FINANCIAL PLAN
9.1 Introduction
This section is concerned with the Financial Plan for the National Power System Expansion Plan and provides its salient features. The key objective of the Financial Plan is to provide an indication of the annual investment requirements to implement the generation and transmission expansion plans, and to assess its impact on the tariffs.
In order to have an assessment of the current financial situation of the power sector of Pakistan, the section at first presents an overview of the financial performance of the power sector of Pakistan. This is followed by the description of the methodology for developing the financial plan. Next, data inputs and assumptions used for the development of the financial plan are outlined.
The generation and transmission plans are the key inputs to develop the financial plan and to determine the annual revenue requirements to build and operate the system. Based on the investment and operational costs of the generation and transmission expansion plans, total and annual financing requirements including debt and equity components were estimated and are provided in the section. The impact on end-consumer tariff due to total power supply costs is also included in the section. Finally, the section presents the analysis of the financial results and provides the conclusions.
It is to be noted that the results of the financial analysis are indicative and provide an overall assessment of the financial impact of the investments on the tariffs.
An annexure to the main report (Annexure 5: Financial Plan) was also prepared, which provides the necessary details and analysis of the financial plan and its impact on tariffs.
9.2 Overview of the Financial Performance of the Pakistan Power Sector in 2010
The current financial performance and cost structure of the Pakistan Power sector is important to the Financial Plan since the current tariff is based on these costs, and is the reference point for future tariff increases.
Furthermore, the embedded costs or the current operational costs attributed to the existing assets need to be included in the financial analysis along with the investment and operational costs of the new assets in order to develop the financial plan. In the same context, the inclusion of the operational costs associated with the existing assets was essential as these costs have a significant impact on the tariffs. It is also worthwhile to review the current level of tariff and costs at the various transfer points to see if these tariffs adequately reflect the costs of supply at generation, transmission and distribution levels.
The annual and other available reports and relevant data of the various companies in the Pakistan power sector for the year 2009-10 were reviewed to determine the financial performance of the sector.
It is pointed out that KESC has its own power system and the financial performance of the KESC is treated separately.
9.2.1 Cost of Generation
The total cost of generation in 2010 which includes all the investment and operating costs amounted to 577,237 million Rupees. WAPDA had the lowest cost of production - the average cost of production amounting to 1.03 Rupees/kWh. This was followed by the GENCOs thermal power plants that have an all inclusive cost of generation of 8.50 Rupees/kWh. The IPPs and other generation were the most expensive having a generation cost of 9.58 and 9.79 Rupees/kWh respectively. The average blended cost of generation in 2010 was 6.60 Rupees/kWh. The amount of energy sent out in 2010 was 87,455 GWh.
9.2.2 Cost of Transmission
The total costs attributable to the transmission system for 2010 were 18,627 million Rupees. The wheeling cost of the power delivered to the DISCOs and to KESC was 0.221 Rupees/kWh based on the total of 84,367 GWh energy transmitted on the transmission network.
9.2.3 Cost of DISCOs
The costs for the DISCOs are composed of the purchased power costs and the DISCOs own costs. DISCOs own costs include the costs for operating and maintaining the distribution network, costs for meter reading, billing and collection, and financial costs including depreciation and interest expenses.
The costs of distribution in 2010 were 62,784 million Rupees. This translates to 1.014 Rupees/kWh based on the sales 61,904 GWh of energy for all the DISCOs.
9.2.4 Summary of PEPCO Costs
The power supply chain costs including the cost of generation, transmission and distribution are provided in Table 9.1 below. The table also presents the energy values for the estimation of unit costs. As can be seen from the data provided in the table the total power supply costs for the year 2010 were 658,648 million Rupees and in per energy unit basis it amounts to 9.81 Rupees/kWh.
Table 9-1 Generation, Transmission and Distribution Costs
| Energy (GWh) | Total Costs (million Rupees) | Unit Costs (Rupees/kWh) |
Generation | 87,455 | 577,237 | 6.60 |
Transmission | 84,367 | 18,627 | 0.22 |
Distribution | 61,904 | 62,784 | 1.01 |
Total | 67,091* | 658,648 | 9.81 |
*includes 5,187 GWh energy transmitted to KESC.
In 2010, PEPCO reported a total revenue of 618,958 million Rupees from the sales by Discos and sale of electric power to KESC. This implies that in the year 2010, PEPCO suffered a loss of 39,690 million Rupees or 0.59 Rupees per unit of energy (KWh) sold.
9.2.5 Financial Performance of KESC
KESC is the electric utility responsible for supplying power to Karachi and surrounding areas. KESC has its own generation plants, and transmission and distribution network. The company generates half of its power requirements and purchases the balance form NTDC, IPPs and the Karachi Nuclear Power Plant.
KESC generated 7,373 GWh and purchased 7,841 GWh of energy in the year 2010. Transmission and distribution losses were 34.9% in 2010. Total energy sales in 2010 were 9,905 GWh.
KESC total revenues for 2010 were 103,396 million Rupees including a tariff adjustment or subsidy of 33,221 million Rupees. The total costs for the year were 118,597 million Rupees which resulted in a net loss of 14,641 million Rupees. When this loss is added to the subsidy the total costs which were not recovered by tariffs in the KESC system increases to 47,862 million Rupees. Thus the losses in the KESC system in 2010 are significantly higher than those in the PEPCO system.
9.3 Methodology for Developing Financial Plan
The methodology adopted for developing the financial plan is graphically illustrated in Figure 9.1. Broadly speaking, the model developed for the financial plan consists of three modules, namely Input Module, Process Module, and Output Module. The Input Module consists of the following key data:
- Assumptions used for financial plan, e.g., discount and inflation rates;
- Annual capital and operational expenditures derived from the generation plan;
- Annual capital and operational expenditures derived from the transmission plan;
- Discos cost; and
- Existing cost structure of the hydro, thermal, and IPPs generation plants, as well as transmission company and Discos.
The Process Module makes use of the information/data provided in the Input Module and mainly converts the investment and operational costs into financial costs. In addition, it blends the existing costs with the costs determined for the development of generation and transmission expansion plans as well as Discos. The process module also computes the revenue streams of the generation and transmission companies and Discos.
The Output Module provides the following major results:
- Annual capital and fuel costs of the generation system;
- Annual power transmission costs and costs of Discos;
- Average cost of production;
- Debt and equity values; and
- Annual revenue requirements and its impact on tariff.
The output module of the model produces the following reports: (i) financing report, (ii) an annual cost report, and (iii) a cost of supply and annual revenue requirements report. The financial model is fully described in Annexure 5: Financial Plan.
Figure 9-1 Graphical Illustration of the Methodology for Developing Financial Plan
- Key assumptions
- Existing cost structure and revenue
- Generation expansion plan and input costs
- Transmission expansion plan and
input costs | | - Assessment of financial costs of capital and operational expenditures (Debt/Equity)
- Depreciation and interest expenses
- Blending of existing costs with new costs
- Cost and revenue streams
| | - Annual capital costs
- Debt and equity values
- Generation costs
- Transmission and wheeling costs
- Disco’s costs
- Annual revenue requirements
- Impact on tariffs
|
In order to determine the overall cost structure of the existing system and the level of subsidies currently applicable to the system, the current costs and revenues for the year 2009-10 were reviewed and assessed. The existing or embedded costs form a critical component of the financial requirements for the operation and maintenance of the power system especially in the early years.
The costs associated with the generation and transmission expansion plans provided in the previous sections are economic costs in real terms (i.e. at constant price levels excluding financing costs, taxes, etc.). For the financial plan, these economic costs of the generation and transmission plans were converted into financial costs, taking into account financing charges, interest expense, depreciation, income taxes and profit. The financial planning is carried out in nominal terms and an inflationary component was also added to the capital, and operating costs. Since the study is carried out in US dollars, the allowance for inflation in the United States (2% per year) was used.
The financial plan provides the investment requirements, both in terms of debt and equity, required to finance the generation and transmission projects to be developed over the next 20 years. It is important to note that the capital expenditures associated with the distribution system are not considered in the financial plan and was also not included in the National Power System Expansion Plan. Nevertheless, the capital expenditures for the DISCOs form a component of the overall costs. A provisional amount of 1.18 US ¢/kWh, which is the average cost of the DISCOs, has been added to the overall cost of supply of power for covering the costs of the distribution system.
The interest rate for debt is assumed as 8 % with a repayment period of ten years. Given that the life of the distribution assets is assumed to be 25 years, it is assumed that the existing loans will be refinanced over the financial planning period.
The financial plan provides the overall investment and financing required for the generation and transmission expansion plans and the overall impact on tariffs for the end-consumer of the DISCOs and for KESC.
9.4 Data Input and Assumptions for Developing Financial Plan
In order to develop the financial plan, the generation and transmission expansion plans were used as the basic inputs. In addition, the sales and load forecasts were also considered for the development of the financial plan.
The overall financing plan has been developed on a commercial basis with the funding for investments provided by debt and equity. However, this may not be the case for the new hydro projects that may be funded by the government, and also for thermal power plants that will be developed by the private sector. Nonetheless, in order to reflect the true cost of power from thermal and from hydro plants, and to maintain consistency in the analysis, the same financing assumptions have been assumed for both hydro and thermal projects to ensure that all the projects are on the same commercial footing.
The costs for owning and operating the DISCOs will be added to the costs of generation and transmission to determine the overall cost of supply to the final customer. The distribution costs reflect the current operating, maintenance, billing, and commercial costs of the distribution systems with an adjustment for improved efficiency.
The key financial assumptions used for the development of the financial plan are summarized in Table 9-2.
Table 9-2 Key Financial Assumptions
| Value Used |
Inflation Rate | 2% |
Discount Rate | 10% |
Rate of Return | 15% on Equity |
Cost of borrowing | 8%/ per annum |
Debt/Equity Ratio for financing | 70% / 30% |
Loan repayment period | 10 years |
Exchange rate | 80 PAK Rupees = 1 US$ (2010) |
Asset Life | |
• Hydro | 50 years |
• Thermal | 30 years |
• Transmission | 40 years |
In addition to the above-mentioned assumptions, there are other inputs required for the development of the financial plan. The key data inputs, mainly taken from the data and assumptions provided in the base case generation and transmission expansion plans include the following:
- Sales and load forecast;
- Fuel prices;
- Capital and operating costs of the generation expansion plan;
- Capital and operating costs of the transmission expansion plan;
- Existing assets, debt and generation cost structure of WAPDA;
- Existing assets, debt and generation cost structure of GENCOs;
- Existing tariffs from IPPs;
- Existing assets, debt and transmission cost structure of NTDC;
- Existing assets, debt and distribution cost structure for the DISCOs;
- Existing tariffs on an average basis, costs and subsidies; and
- System losses and future demand projections as provided in the load forecast.
It is important to note that the level of the investment requirements for both the generation and transmission plans developed to meet the electricity demand are huge as substantial generation and transmission capacity needs to be added to the system. In view of the mammoth investment requirements, access to investment funds may be a constraint. However, for the purpose of developing the financial plan, these funding constraints have not been considered.
9.5 Cost Estimates for the Generation, Transmission and Distribution Plans
9.5.1 Investment and Operational Cost Estimates for the Generation Plan
The investment and the operational cost estimates of the generation plan for the entire period were calculated using SYPCO program. It shows that over US$ 500 billion is required to build and operate the generation system over the next 20 years. The investment, fuel, and operation and maintenance costs (O&M) are summarized in Table 9-3. The fuel prices used in the financial plan are taken from the generation plan. These costs are in constant 2010 USD. (Please note that these are economic costs that form the basis of the financial presented in later sections).
Table 9-3 Investment, Fuel and O&M Costs of the Generation Plan (million USD)
Investment and Production Costs | 2011-12 to 2020-21 | 2021-22 to 2029-30 | Total |
Investment Costs | 103,667 | 87,734 | 191,402 |
Fuel Costs | 129,907 | 161,085 | 290,992 |
O&M Costs | 11,500 | 26,809 | 38,309 |
Total Generation Costs | 245,074 | 275,628 | 520,703 |
9.5.2 Cost Estimates of the Transmission Plan
The cost of implementing the transmission upgrades is nearly US$ 30 billion. These costs for different durations during the planning period are summarized in Table 9-4. These costs are in constant 2010 USD. It is to be noted that the cost for lines crossing international boundaries only include Pakistan component.
Table 9-4 Cost of Transmission Upgrades
Item* | Million PKR | Million USD |
Projects already committed /Planned to be completed by 2017-18 but not yet funded | 428,000 | 5,350 |
Projects proposed from 2017 to 2020 | 569,440 | 7,118 |
Projects proposed from 2021 to 2030 | 1,163,360 | 14,542 |
Total | 2,160,800 | 27,010 |
*Cost for lines crossing international boundaries only include Pakistan component. Costs are based on US$ 1= PKR 80
9.5.3 Cost Estimates for the Distribution System
The cost of the proposed system reinforcements was estimated to be 108,640 million Rupees which is equivalent to 1,358 Million USD for all the DISCOs combined. While this cost information is not directly used in the NPSEP, it does indicate the level of investment that the DISCOs would require to have an adequate distribution system to achieve the requisite reliability level of the distribution system.
9.6 Financial Projections and Results
The financial projections for the Pakistan power sector for the period 2011 through to 2030 were prepared based on the assumptions and input data obtained and using the financial model developed for the study. Thus making use of the data inputs taken from the generation and transmission plans and taking into account all the investments and operating expenses that are required to be incurred to support the generation and transmission expansion plans the financial projections over the period were developed.
The principal outputs from the financial model include:
- The annual capital investments and operating expenses both with and without discounting;
- The financing required for each year for hydro and thermal projects;
- The financing required for each year for transmission projects;
- The cost of power from hydro and thermal plants over the study horizon;
- The annual cost of transmission and the unit wheeling costs;
- The cost of power sold to the DISCOs and to KESC; and
- The average cost of power sold to the final customer and comparison to the existing tariffs.
9.6.1 Investments and Operating Costs of the Generation and Transmission Plans
The total investment and operating costs for the period 2011 to 2030 of the generation and transmission plans are presented in Table 9-5 both with and without discounting. Hydro Capital expenditure over the period is expected to be 85 billion USD, while the thermal capital expenditure will total 148 billion USD. On the operating side, total hydro operating costs are projected to be 12 billion USD, while thermal operating costs are estimated as 38 billion USD. In addition, fuel costs for the thermal power plants are computed to be 365 billion USD.
The capital expenditure for the transmission plan is estimated to be about 27 billion USD over the 20 year period, with about 13 billion USD occurring in the first ten year period. Transmission operating expenditures are projected to be about 7 billion USD over the study period.
The total generation and transmission financial costs are estimated to be over 647 billion USD and over 34 billion USD respectively. For both the generation and transmission expansion plans the combined financial cost is projected to be about 682 billion USD. When these costs were discounted to 2011 using a discount rate of 10%, the total Present Value (PV) costs of the generation and transmission expansions plans are estimated to be about 263 billion USD.
Table 9-5 Generation and Transmission Costs (Million USD) (Capital and Operating Costs 2011-2030)
| Without Discounting | With Discounting at 10% |
2011-12 to 2019-20 | 2020-21 to 2029-30 | Total | 2011-12 to 2019-20 | 2020-21 to 2029-30 | Total |
Hydro - Capex | 39 677 | 45 730 | 85 407 | 22 704 | 14 353 | 37 057 |
Hydro - Op Exp | 1 789 | 10 278 | 12 068 | 1 046 | 2 427 | 3 473 |
Thermal - Capex | 62 269 | 85 746 | 148 015 | 36 841 | 22 480 | 59 321 |
Thermal - Op Exp | 8 935 | 28 615 | 37 550 | 5 256 | 6 908 | 12 164 |
Thermal–Fuel Exp | 127 667 | 236 950 | 364 617 | 77 855 | 58 974 | 136 829 |
Total Generation | 240 337 | 407 319 | 647 657 | 143 702 | 105 142 | 248 844 |
Transmission Capex | 12 764 | 14 764 | 27 033 | 7 991 | 3 791 | 11 782 |
Transmission-Op Exp | 1 481 | 5 755 | 7 236 | 802 | 1 395 | 2 197 |
Total Transmission | 14 245 | 20 024 | 34 269 | 8 794 | 5 186 | 13 998 |
Total Gen & Trans | 254 581 | 427 344 | 681 125 | 152 496 | 110 328 | 262 823 |
9.6.2 Annual Investment for Generation and Transmission Plans
As can be seen from the information given in Table 9-5, significant capital investments are required to be made in the hydro and thermal projects as well as for the expansion of the transmission system to increase the overall generation and transmission capacity of the power supply system. The annual investments to be made over the period 2011 to 2030 in hydro and thermal generation projects, and transmission projects are provided in Table 9-6. The annual debt and equity requirements are also given in this table. Figure 9-2 graphically depicts the annual investment requirements, while Figure 9-3 illustrates the debt and equity requirements over the planning period. The average annual financing requirement is determined to be 11.5 billion USD per year.
Table 9-6 Annual Capital Investments and Financing Requirements (million USD)
Year | Hydro Investments | Thermal Investments | Transmission Investments | Total Capital Investments | Debt Financing | Equity Financing | Total Financing |
2010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2011 | 0 | 0 | 306 | 306 | 214 | 92 | 306 |
2012 | 379 | 359 | 315 | 1053 | 737 | 316 | 1053 |
2013 | 1783 | 3201 | 977 | 5960 | 4172 | 1788 | 5960 |
2014 | 3525 | 5745 | 1907 | 11178 | 7824 | 3353 | 11178 |
2015 | 4367 | 8208 | 2724 | 15298 | 10709 | 4589 | 15298 |
2016 | 5163 | 9477 | 2966 | 17606 | 12324 | 5282 | 17606 |
2017 | 5012 | 9947 | 1365 | 16325 | 11427 | 4897 | 16325 |
2018 | 4141 | 8728 | 1500 | 14369 | 10058 | 4311 | 14369 |
2019 | 5537 | 6125 | 1296 | 12959 | 9071 | 3888 | 12959 |
2020 | 6000 | 4995 | 1371 | 12367 | 8657 | 3710 | 12367 |
2021 | 8336 | 4712 | 1300 | 14348 | 10044 | 4305 | 14348 |
2022 | 7674 | 5592 | 1715 | 14980 | 10486 | 4494 | 14980 |
2023 | 6529 | 5373 | 2585 | 14487 | 10141 | 4346 | 14487 |
2024 | 5234 | 7316 | 2553 | 15104 | 10573 | 4531 | 15104 |
2025 | 3239 | 10451 | 1984 | 15674 | 10972 | 4702 | 15674 |
2026 | 2358 | 12005 | 2108 | 16471 | 11529 | 4941 | 16471 |
2027 | 1224 | 10895 | 2304 | 14423 | 10096 | 4327 | 14423 |
2028 | 1224 | 6662 | 2043 | 9929 | 6951 | 2979 | 9929 |
2029 | 735 | 2978 | 1542 | 5255 | 3678 | 1576 | 5255 |
2030 | 0 | 0 | 1179 | 1179 | 825 | 354 | 1179 |
Total | 72460 | 122769 | 34041 | 229270 | 160489 | 68781 | 229270 |
Figure 9-2 Annual Investments in Generation and Transmission
Figure 9-3 Annual Debt and Equity Financing
Table 9-7 provides the summary of the debt, equity and total financing requirements divided over the five-year period. The financing requirements will be highest during the five year period of 2015-16 to 2019-20 as substantial investment would be required in the generation and transmission projects to increase the generation and transmission capacity during this period to meet the increasing electricity demand.
Table 9-7 Total Debt and Equity Financing for Different Periods (billion USD)
| 2010-11 to 2014-15 | 2015-16 to 2019-20 | 2019-20 to 2024-25 | 2025-26 to 2029-30 | 2010-11 to 2029-30 |
Debt | 23.7 | 51.5 | 52.2 | 33.1 | 160.5 |
Equity | 10.1 | 22.1 | 22.4 | 14.2 | 68.8 |
Total Finance | 33.8 | 73.6 | 74.6 | 47.3 | 229.3 |
9.6.3 Estimation of Unit Generation Cost from Hydro and Thermal Generation.
The financial model developed calculates the unit cost of power for all the years during the planning horizon separately for the hydro and thermal generation. This is based on the calculation of the Annual Revenue Requirements (ARR). The ARR is computed by using the following equation.
Annual Revenue Requirements = O&M + Depreciation Exp + Interest Exp + Income Taxes +
Net Income (Return on Equity).
Table 9-8 presents the unit cost of generation from hydro generation plants for the selected years. The unit cost of hydro generation is assessed to be 6.49 US ¢/kWh, 9.31 US ¢/kWh, 6.36 US ¢/kWh, and 5.67 US ¢/kWh in the years 2015, 2020, 2025 and 2030 respectively. For comparison purposes it may be mentioned that hydro costs from existing plants are about 1.2 US ¢/kWh.
Table 9-8 Cost of Power from Hydro Plants for Selected Years
Year | Oper. Expense | Depr. Expense | Interest Expense | Income Taxes | Return on Equity | Ann Rev Req. | Hydro Prod. | Hydro Unit Costs |
| (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (GWh) | (US ¢ /kWh) |
2015 | 146 | 264 | 383 | 381 | 888 | 2061 | 31776 | 6.49 |
2020 | 353 | 930 | 1503 | 841 | 1963 | 5590 | 60028 | 9.31 |
2025 | 1051 | 1859 | 2637 | 1486 | 3468 | 10501 | 165170 | 6.36 |
2030 | 1515 | 2100 | 1984 | 1649 | 3848 | 11097 | 195686 | 5.67 |
Similarly, the unit costs of power from thermal projects for the selected years were also computed based on the Annual Revenue Requirement. The Annual Revenue Requirements for thermal projects for selected years are given in the Table 9-9. The unit cost of power from thermal projects is determined to be 12.05 US ¢/kWh, 12.90 US ¢/kWh, 14.09 US ¢/kWh, and 14.19 US ¢/kWh in the years 2015, 2020, 2025 and 2030 respectively.
Table 9-9 Cost of Power from Thermal Plants for Selected Years
Year | Oper. Expense | Fuel Expense | Depr. Expense | Interest Expense | Income Taxes | Return on Equity | Ann. Reven. Req. | Thermal Prod. | Thermal Unit Costs |
| (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (GWh) | (US ¢ /kWh) |
2015 | 146 | 13741 | 417 | 540 | 183 | 426 | 15453 | 128294 | 12.05 |
2020 | 353 | 18655 | 2201 | 2379 | 996 | 2323 | 26907 | 208599 | 12.90 |
2025 | 1051 | 20799 | 3377 | 2808 | 1529 | 3568 | 33132 | 235194 | 14.09 |
2030 | 1515 | 33574 | 5182 | 3663 | 2352 | 5487 | 51774 | 364924 | 14.19 |
Comparison of the unit cost of generation from thermal plants with the unit cost of generation from the hydro plants shows that the unit cost of thermal generation is substantially higher as compared to the hydro generation costs.
9.6.4 Estimation of Unit Transmission Cost
The unit cost of transmitting power, or alternatively wheeling cost, was calculated based on the Annual Revenue Requirement for the transmission network. The Annual Revenue Requirements for transmission for selected years are given in the Table 9-10. The wheeling cost of power is evaluated to be 0.54 US ¢/kWh, 0.99 US ¢/kWh, 1.06 US ¢/kWh, and 1.03 US ¢/KWh for the years 2015, 2020, 2025 and 2030 respectively.
Table 9-10 Cost of Transmission for Selected Years
Year | Oper. Expense | Depr. Expense | Interest Expense | Income Taxes | Return on Equity | Ann. Rev. Req. | Energy Trans. | Wheeling Costs |
| (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (Million USD) | (GWh) | (US ¢ /kWh) |
2015 | 171 | 120 | 232 | 87 | 202 | 811 | 151149 | 0.54 |
2020 | 456 | 479 | 804 | 344 | 802 | 2886 | 227703 | 0.99 |
2025 | 672 | 691 | 874 | 493 | 1150 | 3879 | 338445 | 1.06 |
2030 | 910 | 931 | 961 | 663 | 1547 | 5012 | 471469 | 1.03 |
9.6.5 Unit Cost of Power to the DISCOs and to KESC
The unit blended cost at which the power will be sold to the DISCOs and to KESC is determined by adding the revenue requirements computed for the generation (both hydro and thermal generation) and transmission and dividing it by the power delivered to the DISCOs and to KESC.
The unit cost (generation and transmission) of providing power to Discos and KESC is provided in Table 9-11 for the 5-year periods. The highest unit cost is assessed for the period 2019-20 to 2024-25, which is 14.6 ¢/kWh.
Table 9-10 Unit Supply Cost for Selling to Discos and KESC (¢/kWh)
| 2010-11 to 2014-15 | 2015-16 to 2019-20 | 2019-20 to 2024-25 | 2025-26 to 2029-30 | 2010-11 to 2029-30 |
Hydro | 4.9 | 8.6 | 7.6 | 5.8 | 6.8 |
Thermal | 10.9 | 12.7 | 13.6 | 14.6 | 13.1 |
Generation (avg.) | 9.6 | 11.8 | 11.5 | 11.2 | 11.1 |
Transmission | 0.3 | 0.9 | 1.1 | 1.1 | 0.8 |
Blended Total | 10.6 | 14.6 | 14.6 | 14.4 | 13.6 |
Notes:The cost of generation is at the generation level. The cost of transmission is the wheeling costs. As a result the, blended total which is the costs out of transmission does not add because of transmission losses, thus effectively increasing the cost of power out of transmission. The blended total is the cost of power sold to the DISCOs and to KESC.
9.7 Supply Cost of Power and Impact on the Customer Tariffs
The impact on the tariffs for the end-customer depends on a number of factors including the future capital and operating costs for the generation and transmission expansion plans, the costs of the distribution system, level of losses incurred in the transmission and distribution system, and the government policies regarding subsidies. The stated policy of the government is to have a power sector that does not require subsidies and is able to raise and repay its finances. It is obvious that investors will only provide investment funds, both debt and equity financing, if the entity is able to generate positive cash flows and achieve appropriate returns.
To arrive at the cost to the end-customer requires some additional calculations. The DISCOs costs of owning, operating, maintaining its distribution network and the commercial costs of meter reading, billing and collection of revenues should be added to the generation and transmission costs presented in the above sections. The average DISCOs costs were 1.18 US ¢/kWh in 2010. For calculating the end cost to the customer, the losses in the DISCOs also need to be taken into account.
Table 9-12 presents a summary of the costs of supply to the DISCOs and the final cost of supply to the end customer. This is compared to the existing tariffs both with and without subsidy and escalated at 2% over the forecast period.
Table 9-11 Total Cost of Supply from the DISCOs and Comparison to the Existing Tariffs Escalated at 2 % (¢/kWh)
| 2010 | 2015 | 2020 | 2025 | 2030 |
Purchase Power | 8.3 | 12.1 | 15.5 | 14.0 | 14.4 |
DISCOs Cost | 1.2 | 1.3 | 1.4 | 1.6 | 1.8 |
Total Costs (1) | 9.5 | 13.4 | 17.0 | 15.6 | 16.2 |
Total Costs (2) | 12.0 | 15.6 | 19.1 | 17.6 | 18.2 |
Tariff with subsidy | 6.5 | 7.2 | 7.9 | 8.7 | 9.7 |
Tariffs with no subsidy | 11.5 | 12.7 | 14.0 | 15.4 | 17.0 |
Notes:The total cost of supply (1) represents the cost of purchased power plus the DISCOs own costs for its operations. The total cost of supply (2) represents the cost of supply based on the sales to customers, that is after losses (both technical and non technical) in the distribution system.
The costs of the generation, transmission and distribution over the forecast period and the cost of supply to the customer and the escalated current tariffs are also shown in Figure 9-4. Table 9-12 Comparison of Unit Cost of Supply and End Tariffs
With respect to tariffs, there can be two possible outcomes i.e., the first outcome is the existing tariff that includes a subsidy of about 50%. The tariff is escalated over the forecast period at 2%. The second outcome is without any subsidy. Both these outcomes are shown in the Table 9-12 above. As can be seen from the information provided in the above table, the cost of supply in every year is higher than the current tariff with no subsidy. This indicates that the future cost of supply is going to be significantly high as compared to current values and will have a significant impact on the end-consumer tariffs. This implies that in order to recover the power supply costs, the tariffs have to be increased significantly and should be higher than the total supply costs of electricity. For supporting the necessary investment in the power sector for its viable operation, it would be inevitable to have tariffs that should make it possible to recover the cost of electricity supply with the necessary margins so that the necessary development of the power sector in the future can be sustained on a continuous basis to meet the increasing demand of power.
9.8 Analyses of Results and Concluding Remarks
The above sections have presented the results of the total generation and transmission costs as well as the annual investment outlays over the planning period. In addition, the total supply costs for DISCOS and the implications on end-consumer tariff are also provided in the section.
The results regarding the generation and transmission investment outlays indicate that the total generation costs over the planning period would be over 647 billion USD, while the total expenditure on the transmission system is expected to be over 36 billion USD. In Present Value terms with a discount rate of 10%, these values are 248 billion USD and 15 billion USD respectively.
As regards the annual investment requirements in the generation and transmission, it ranges from minimum of 306 million USD in 2011 to the maximum of 17,602 million USD in the year 2016. The investment requirements are low in the year 2011 due to the reason that generation capacity would not be added during this year and the investments will be made in transmission network only. The high investments in 2016 are due to the massive investment requirements in the generation capacity. The average annual investment outlay is assessed to be over 11 billion USD. Considering that the GDP of the country was little over 170 billion USD in 2010, these investment requirements will be about 6.4% of the 2010 GDP of the country.
The review of results presented in the above paragraphs manifests that the cost of generation from thermal projects throughout the planning period is significantly higher as compared to the cost of hydro generation. The average cost of generation for the hydro plants is estimated to 6.8 cents/kWh over the planning horizon, while thermal generation costs is computed as 13.1 cents/kWh. The main reason of high thermal generation cost is the inclusion of fuel costs, which constitute a substantial portion in the total thermal generation cost. For hydro plants the production cost is extremely low due to the absence of any fuel requirements thus making the unit cost of generation form hydro plants significantly less as compared to the thermal plants. This implies that allocating capital investment to the hydro plants on a priority basis and putting emphasis on the development of hydro generation would be a prudent strategy in order to keep the cost of generation low. This would also facilitate in keeping the end-consumer tariff low. In addition, according high priority to hydro generation would have a long-term positive impact on the tariffs as these would not be subjected to the uncertainty of changing fuel prices thus keeping the tariffs relatively more stable.
The financial implications of investment in hydro generation would also be beneficial in the sense that foreign exchange requirements would be relatively lower in the long-term. Considering that a substantial investment for hydro projects is required in civil works, for which indigenous resources can be used, a large portion of financing can be arranged in domestic currency.
The cost results presented previously also indicates that the unit costs of generation during the period 2015 to 2025 would be relatively high, i.e., in the range of 11.5 to 11.8 cents/kWh. This is due to higher investment in the generation capacity during this period as well as due to high production costs from the thermal units. The average cost of generation over the planning period is evaluated as 11.1 cents/kWh.
The transmission investment shows a sharp increase from the period 2010-2015 to the period 2015-2020 due to the large transmission capacity requirements in order to evacuate the power from the generation capacity to be built during this period.
As regards the comparison of cost of supply with tariffs, it was observed that the cost of supply for each of the year during the planning horizon is higher than the current tariff with no subsidy. This implies that the cost of energy supply in the future is going to be considerably high as compared to current values. This will have major implications on the electricity tariffs for all the consumer sectors. However, in order to have a sustainable and viable operation and development of the power sector in order to meet the rising demand of electric energy, the implementation of tariffs so that the cost of power supply can be recovered with some margin would be imperative.