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Executive Summary ` Executive Summary

Faisalabad Electric Supply Company (FESCO) is supplying power to civil of , Sargodha, Mianwali, Khoshab, , Bhakhar, and Toba Tak Sing. This company came into existence in the year 2001 after unbundling of WAPDA system. Earlier it was known as Faisalabad Area Electricity Board (AEB). Its distribution network in the year 2001 comprised eight 132 KV and thirty seven 66 KV sub-stations and by year 2013-14; sixty two 132 KV and twenty three 66 KV sub-stations have started to function in the company.

Peak demand of FESCO in the year 2013-14 was recorded as; 1890 MW, energy sale was 9682 GWh and energy purchased was 10896 GWh. The total number of consumers in this year were 3.29 million out of which domestic consumers were 2.87, commercial were 0.333 and agricultural consumers were 0.040 million. In the year 2013-14, FESCO total sale in terms of megawatt was 1677 MW.The shares of domestic sector and industrial sector were 45.07% and 41.12 % with respect to the total sale, which is not a healthy sign.

This forecast has been computed on the basis of Power Market Survey (PMS) methodology by the FESCO (PMS) team under the supervision of planning power, NTDC. The year 2013-14 has been taken as base and the forecast horizon is ten years up to 2023-24. The base year sale data (feeder wise consumer category wise energy sale) and the expected spot loads data at the locations of different sub-stations have been collected by FESCO power market survey team. Energy sale data for the base year is also been adjusted for the estimates of un-served energy (load shedding) in order to have a realistic sales figure.

Forecast results show that energy sale will be 16047 GWh and 24777 GWh, peak demand will be 3699 MW and 5541 MW, and energy purchased will be 17919 GWh and 27407 GWh by the years 2017-18 and 2023-24 respectively. The annual average compound growth rate of energy sale, peak demand and energy purchased will be 7.03%, 6.48% and 6.84% respectively by the year 2023-24 with respect to 2013-14.

To further refine the forecast and making it helpful for planners following additions have been made in this issue;

 Civil Adminstrative Division-wise energy and demand forecast  Civil Adminstrative -wise energy and demand forecast  Month-wise demand projection  Overloaded 132 kV substations  List of existing substations with their MVA capacities

A realistic forecast, saves over investment as well as under investment, meaning thereby timely recovery of revenue and no constraints in the supply of power (load shedding) respectively. This kind of forecast can only be prepared by applying proper methodology with authentic data. The results of previous PMS forecasts were very close to the actual which proves the authenticity of methodology and data. This report highlights the salient features of load forecast of the company.

Planning Power, NTDC firmly believes that the readers’ comments/suggestion on this report will help in improving energy and demand forecast in future.

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Table of Contents `

Table of Contents 1 Introduction ...... 1 2 Historical Supply and Demand Analysis ...... 3 2.1 Category wise Sale ...... 3 2.2 Transmission and Distribution Losses ...... 4 2.3 Recorded and Computed Peak Demand ...... 5 2.4 Number of Consumers ...... 5 3 Power Market Survey Methodology ...... 6 3.1 Overview ...... 6 3.2 Survey Base Data ...... 6 3.3 Input Parameters ...... 7 3.4 Growth Rates ...... 8 3.5 Losses ...... 8 3.6 Load Factors ...... 8 3.7 Coincidence Factors ...... 9 3.8 Forecast Calculations ...... 10 3.9 Energy Calculations ...... 10 3.10 Peak Demand Calculations ...... 10 3.11 Accumulations ...... 10 4 PMS Forecast Result...... 11 4.1 Recorded Forecast (Without Load Shedding) ...... 11 4.2 Computed Forecast (Including Load Shedding) ...... 11 4.3 Category wise Forecasted Energy Sale (GWh) ...... 12 4.4 Category wise Power Demand (MW) ...... 12 4.5 Peak Demand of Substations ...... 13 4.6 Per Capita Consumption ...... 13 4.7 Category-wise Substation-wise Energy and Demand Projections ...... 13 4.8 Civil Administrative Area Forecast ...... 14 4.9 Monthly Demand (MW) Projections ...... 14 4.10 List of Overloaded Substations ...... 14 4.11 List of Grids with their Codes and MVA Capacities ...... 14 Disclaimer...... 57

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List of Figures `

List of Figures Figure 1- 1: Computed Demand Forecast ...... 1

Figure 1- 2: Historical Category Wise Sale ...... 3

Figure 1- 3: Historical Transmission and Distribution Losses ...... 4

Figure 1- 4: Historical Recorded and Computed Peak Demand...... 5

Figure 1- 5: Number of Consumers ...... 5

Figure 1- 6: Computed Peak Demand ...... 11

Figure 1- 7: Energy Purchased vs. Energy Sale ...... 11

Figure 1- 8: Category Wise Sale Forecast ...... 12

Figure 1- 9: Per Capita Consumption ...... 13

Figure 1- 10: Distribution Network Map ...... 55

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List of Tables ` List of Tables

Table 1- 1: Recorded Forecast (Excluding Load Shedding) ...... 15 Table 1- 2: PMS Base Forecast ...... 16 Table 1- 3: Category Wise Sale – GWh (Excluding Load Shedding) ...... 17 Table 1- 4: Category Wise Sale – GWh (Base Forecast) ...... 18 Table 1- 5: Category Wise Demand – MW (Excluding Load Shedding)...... 19 Table 1- 6: Category Wise Demand – MW (Including Load Shedding) ...... 20 Table 1- 7: District-wise Energy (GWh) and Demand (MW) Forecast For District: Faisalabad ...... 21 Table 1- 8: District-wise Energy (GWh) and Demand (MW) Forecast For District: Chiniot ...... 22 Table 1- 9: District-wise Energy (GWh) and Demand (MW) Forecast For District: Jhang ...... 23 Table 1- 10: District-wise Energy (GWh) and Demand (MW) Forecast For District: T.T. Sing ...... 24 Table 1- 11: District-wise Energy (GWh) and Demand (MW) Forecast For District: Sargoda ...... 25 Table 1- 12: District-wise Energy (GWh) and Demand (MW) Forecast For District: Khusahb ...... 26 Table 1- 13: District -wise Energy (GWh) and Demand (MW) Forecast For District: Mianwali ...... 27 Table 1- 14: District -wise Energy (GWh) and Demand (MW) Forecast For District: Bhakkar ...... 28 Table 1- 15: Division-wise Energy (GWh) and Demand (MW) Forecast For Divison: Faisalabad ...... 29 Table 1- 16: Division-wise Energy (GWh) and Demand (MW) Forecast For Divison: Sargodha ...... 30 Table 1- 17: Monthly Peak Demand Forecast ...... 31 Table 1- 18: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85% ...... 32 Table 1- 19: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85% ...... 33 Table 1- 20: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85% ...... 34 Table 1- 21: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85% ...... 35 Table 1- 22: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100%...... 36 Table 1- 23: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100%...... 37 Table 1- 24: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100%...... 38 Table 1- 25: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100%...... 39 Table 1- 26: List of Grids with their Codes & MVA Capacities ...... 40 Table 1- 27: Maximum Demand (MW) of Substations ...... 42 Table 1- 28: Category-wise Maximum Demand (MW) of Substations ...... 48

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FESCO 1 Introduction

The present report of Power Market Survey forecast is the 24th issue, jointly prepared by FESCO and Planning Power NTDCL. This report contains year wise detailed forecast of energy and demand for the whole company and each sub-station within the company. In addition to that civil administrative areas’ forecast like division and district within the company are also computed and depicted in different tables. The forecasted peak demand of FESCO has graphically presented in Figure 1-1.

Load forecast is an important element of the power planning process involving prediction of future level of demand. The forecast serves as the basis for supply-side and demand-side planning. Load forecasts are typically prepared by utilities for different time frames and levels of detail and used in different planning applications and operations.

Long range planning requires a system level forecast of total generation requirement and peak demand. On the other hand transmission and distribution planning require for more load level and geographic detail to assess location, timing and loading of individual lines, substation and transformation facilities.

Computed Peak Demand (MW) 6000

5000

4000

3000

2000

Mega Watts (MW) Watts Mega 1000

0

Figure 1- 1: Computed Demand Forecast

Forecasting models fall into three general categories:

 Trend models  Econometric based models  End-use models

Trend forecasts graphically or mathematically extrapolate past electricity demand trends into the future. They may be inadequate for shorter time periods where dramatic changes in the underlying casual factors of load growth are not anticipated. Econometric models represent a more complex ‘top-down’ approach to forecasting and rely on the observed or the implied

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FESCO relationship between past energy consumption and other variables defining past economic output, demographics and price or income variables. Such models employ a combination of econometric, regression and time series forecast techniques. End-use models relate energy use to the physical appliance stock levels, to the use patterns or to the industrial process. These end use models represent a ‘bottom-up’ forecasting approach and normally incorporate disaggregate end use forecast and consumer survey techniques.

This report has been prepared on the basis of Power Market Survey Methodology and the model used is called Power Market Survey (PMS) model. This model is a form of end use model which provides energy and power projection for all distribution companies and all grid stations within the company.

The PMS model relies on an extensive data base of historical sales. The data base includes consumption by consumer type (i.e. domestic, industrial and commercial etc.) on a grid station and grid station feeder basis. Actual consumption data are adjusted for unserved demands attributed to load shedding.

Energy forecasts are computed for each consumption category at the sub area level on the basis of a trend analysis of recent per consumer sales plus new consumer connection applications. Industrial forecasts are based on interviews with existing consumer trend projections and a review of the applications for new and increased service. These analyses are repeated for each sub area for each of the years to be forecast. The annual peak demand is determined from the resulting energy forecasts by using the load factors and diversity factors developed for each consumer category. Forecasts are then aggregated to a system level.

Because the PMS forecast is based on a mix of end-use, trend projection and known consumer expansion plans, it cannot be used reliably to predict demand over the longer term. This model had not been created to predict impacts of changes in growth rates of different economic sectors or consumers categories over time, of changes in both the absolute and relative prices of electricity, or of changes in the relationships between income growth and electricity growth over time as a result of market saturation and technological change (in order to capture these changes NTDC is using another model called regression model). This model is used for long term forecasting as the changes in growth rate are occurred due to change in technology, life style over a longer time period.

The Power Market Survey forecast model most closely approaches the requirements of power system planning. It provides the level of detail required for siting studies and transmission and substation planning, as well as the sectoral detail necessary to assess different sector growth rates and their impacts on load shapes, both for the system, DISCOs and grid stations. In addition, because it also makes specific provision for load shedding i.e. suppressed demand, it provides a reasonable approximation of unconstrained load growth.

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FESCO 2 Historical Supply and Demand Analysis

2.1 Category wise Sale

The customers within the company can be segregated in different categories. The segregation is usually based upon the type of applications for which electricity is being used. Major categories include Domestic, Commercial, Small industries, Medium & Large industries and Agriculture.

The category wise percentage sale for the years 1999-00, 2004-05, 2013-14 are given in Figure 1-2.

11.82% 1999-00 44.00% 22.73% Domestic Commercial Public Lighting Small Industries M&L Industries 17.09% 4.21% 0.15% Tube Wells

9.51% 2004-05 44.70% Domestic 30.28% Commercial Public Lighting Small Industries M&L Industries Tube Wells 10.27% 0.16% 5.08%

45% 9% 2013-14

Domestic Commercial 37% Public Light Small Industries 4% 5% M&L Industries Tube Well

0%

Figure 1- 2: Historical Category Wise Sale

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FESCO 2.2 Transmission and Distribution Losses

In our system losses are divided into two types;  Transmission Losses  Distribution Losses The losses on 132 kV and 11kV transmission lines are considered as Transmission Losses where as the losses on 11 kV and 440 Volts lines supplying the consumers are called Distribution Losses. In a system, generally the high losses are due to lack of proper maintenance and elements of theft. Reduction in losses can be achieved, by installing proper size of conductor in 11kV feeders, low tension lines and also by installing capacitor banks, to reduce reactive power and thereby improving power factor. Energy sent out is shown in the form of its breakup as sale, distribution losses and transmission losses with their percentages in the figure 1-3 for the year 2010-11, 2012-13 and 2013-14.

930.87(GWh) 2010-11 9.61% 158.74 (GWh) 1.64% Distribution Loss Transmission Loss 8596.36 (GWh) 88.75% Sale

912 (GWh) 125.4 (GWh) 2012-13 10% 1%

Distribution Losses Transmission Losses Sale 8586 (GWh) 89%

1016 9% 197.6 2013-14 2%

Distribution Losses Transmission Losses Sale 9682 89%

Figure 1- 3: Historical Transmission and Distribution Losses

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FESCO 2.3 Recorded and Computed Peak Demand Recorded demand is the highest electricity demand or maximum power supplied to the consumers during the base year. Computed peak demand is calculated by adding the element of unserved power into the figure of the recorded peak demands. Figure 1-4 shows the recorded and computed peak demand (MW) from the year 2009-10 to 2013-14.

2958 3000 2747

2500

1995 1994 1873 1890 2000 1573 1475 Recorded 1369 1500 1279 Peak Demand

Computed

1000 Peak Demand PEAK DEMAND (MW) DEMAND PEAK 500

0 2009-10 2010-11 2011-12 2012-13 2013-14

Figure 1- 4: Historical Recorded and Computed Peak Demand

2.4 Number of Consumers

Historical record of number of consumers within FESCO service area is given in Figure 1-5. These consumers are from all categories; i.e. Domestic, Commercial, Small industries, Medium & Large industries, Public Lighting, Bulk and Agriculture.

3288930

3300000 3214273 3109319

3100000 2996536

2900000 2762683

2700000

2500000 2009-10 2010-11 2011-12 2012-13 2013-14

Figure 1- 5: Number of Consumers

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FESCO

3 Power Market Survey Methodology 3.1 Overview

The Power Market Survey Model forms the basis of the medium term forecast. It produces energy and peak demand forecast over a ten year period by consumption category and by grid station for the entire service area. The model has three inter-related components: the main database, the basic input parameters and the calculations themselves.

The energy consumption data base obtained through the power market survey is immense. It contains base year consumption data for existing consumers and ten years’ forecast data for new consumers for each consumer category within the company. In addition, there is separate information for peak demand in medium & large industries and traction categories. Because of its volume this data is not listed as part of this report.

In addition to the data base, a number of basic input parameters form an integral part of the forecast model which are separately prepared for each DISCO. These include:

 Growth rates: the annual increase in consumption per consumer by consumption category.  Loss rates: transmission and distribution losses expressed as a percentage of energy purchased and energy sold, respectively.  Load factors: relating the amount of energy consumed to the rate at which it is consumed (that is, the peak demand) for each consumption category.  Coincidence factors: describing the load diversity within the system.

The forecast calculations within the model combine the energy consumption data and the input parameters to compute the energy and peak demand requirements within each area for each year to be forecasted. The data is accumulated from the area basis, to grid stations, DISCOs and ultimately to produce a forecast for the entire system. Each of the three model component is discussed in detail below.

3.2 Survey Base Data

An extensive data base has been developed on gross consumption by consumer category household (domestic), commercial, small industrial, large industrial, tube wells (agriculture), public lighting, and traction (electric rail). Energy consumption comes from consumer service meter readings. Maximum demand readings and load factors for large industrial users and other demand-meteredconsumers are based on service meter readings. The consumption data is collected from Computer Centers of each DISCO (It is feeder-wise category-wise consumption data).

Actual consumption data are also adjusted for un-served demands attributed to load shedding and to voluntary restraint by consumers (e.g. an industrial consumer who agrees to close his plant or switch to auto-generation during peak hours).

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FESCO The basic geographic unit represented within the data base is called an area, although many areas are divided into two or more subareas. This occurs when portions of the area are served by different feeders or where a single feeder services different administrative districts. Each area is assigned a series of codes which identify the technical boundaries associated with the area.

The technical boundaries, which are emphasized in this report, start at the grid station. Thus, all areas and subareas are assigned to one of the all the sub-stations in each DISCO. These are distribution grid stations supplying power at 11 kV after transformation from a 132kV or 66 kV source. Grid stations are combined to form DISCO.

There can be up to eleven records in the data base for each area or subarea, one record for each year of forecast. The first year is typically year zero and records the base year level of consumption for each consumption category as determined in the survey. The remaining records for the area list the incremental consumption associated with new consumers to be added to the area within the specified year.

This incremental consumption is based on applications for new or extended service which are filed at each revenue office and from discussions with the relevant industries and government agencies. Incremental industrial consumption is based on a combination of interviews, trend projections, and reviews of applications for new and/or increased service. Interviews are held with major industrial consumers to identify their current capacity utilization and any long-term plans they have for future expansion or changes in their electricity consumption. Auto-generation is also recorded. In addition, the various branches of the Ministry of Industries are interviewed to determine how many applications for new developments or plant expansions have been received, and what the anticipated electrical load associated with each is likely to be. These anticipated new demands are added to the basic forecast of industrial consumption.

Extension of electricity to new areas over the forecast period is dealt with separately. The number of new communities to be electrified is also obtained. Initial loads and load growth are calculated based on past experience in terms of market penetration and consumption per consumer in newly electrified communities. This analysis is conducted at DISCO level. There are over 10,000 area/subarea/year records in the data base.

3.3 Input Parameters

A number of input parameters are defined for use in the Power Market Survey model. These parameters are:

 Transmission and distribution loss rates  The rates of growth in consumption per consumer  Load factors for each consumption category  Coincidence or diversity factors

The definition and basic derivation of each is discussed below.

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FESCO 3.4 Growth Rates The forecast calculations, as will be discussed below, use per consumer growth rates to update the previous year's consumption before adding the incremental consumption estimate for the current year. The Power Market Survey Model requires per consumer growth rates to be specified by DISCO for each consumption category (domestic, commercial, etc). The rates selected for the Forecast are based on average annual compound growth rates, calculated from the last six years data of each consumer category in each DISCO.

3.5 Losses

For every 100 units of electricity purchased from a power station only 75 to 85 units are actually sold to the ultimate end-user. The remainder is consumed by the power system itself in the transmission and distribution of the sold energy. These transmission and distribution losses must be added to the sales forecast in order to determine the total generation requirement for the system. An additional source of "loss", the consumption in auxiliaries (also called station service) used by the power plants in the process of generating electricity. Auxiliary consumption cannot be avoided and is totally dependent on the type of generation system. For example, a thermal plant would have a higher station service than a hydro plant to account for the energy consumed by fuel and waste handling systems. Auxiliary losses are determined and incorporated in the forecast outside the model.

Within the Power Market Survey Model, distribution losses are expressed as a percentage of sales and transmission losses as a percentage of the energy purchased from the generating stations. The model is capable of handling different loss rates for each year for each DISCO. The distribution and transmission losses used in the Power Market Survey Model are based on the review of current loss rates and an evaluation of existing loss reduction initiatives within PEPCO. The losses proposed are differentiated by DISCOs and distribution at losses 11 kV and transmission losses at 132 kV are applied DISCO-wise. A separate excel sheet has been developed outside the model to calculate the loss rates needed for the model. The loss rates have been set to match observed performance.

3.6 Load Factors

Energy sale in each consumption category is converted to peak power demand through the use of a load factor. It expresses the ratio of the amount of energy actually consumed to the amount that would have been consumed had the peak rate been continued over the entire period. Load factors can be calculated over any time period but the most common are daily, weekly and annual.

The load factors utilized in the Power Market Survey Model relate annual energy sales to peak capacity for each consumer category (domestic, commercial, public lighting, small industries and private tube wells). Input load factors are not required for medium/large industry, public tube well and traction sales as consumption for these sectors is provided through the survey in both energy and power terms.

Maximum demand readings are available directly for large industrial and other demand metered consumers such as public tube wells. Load factors for non-demand metered

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FESCO consumers are determined on a sample basis. For example, peak demand is based on maximum demand readings from substation feeders which are identified as serving predominantly one sector.

Domestic and commercial load factors are differentiated by community size (, town or ). Whereas a single load factor is used for small industrial, private tube wells, public lighting and traction because of the similar nature in the operation of these loads. While there is some variation in the load factors within the domestic and commercial sectors, there are no differences in any of the load factors by DISCO.

3.7 Coincidence Factors

The total energy demand of a number of individual consumers is determined as the simple sum of their individual energy consumption values. The total peak load, however, is calculated as the diversified sum of their individual peak load levels. The coincidence factor, as its name implies, is a general term which measures the coincidence between the peak loads of any number of individual consumers or consumer groups over a specified time period in order to compute a combined peak. Mathematically, it is the inverse of the diversity factor.

The daily coincidence factor is determined by comparing the daily load patterns of each consumer or group under consideration. In this case, the sum of the individual hourly (or 15-minute) peaks would determine the overall daily load pattern and the overall peak load. If, for example, one consumer (or group) consumes energy only in the morning and a second group consume only in the evening, the coincidence factor between these two consumers would be zero and the peak load of the combined group would be the peak of the larger consumer. Conversely, if both groups consumed all energy at the same hour, the coincidence factor would be one and the combined peak would be the sum of the two peaks. In practice, the coincidence factor is found between these two extremes.

Coincidence factors can be determined between any group and sub-group of consumers whether it is domestic versus commercial or Lahore versus Islamabad, provided that reasonable estimates of the appropriate load patterns are available. Typically, these patterns are not readily available and must be synthesized from incomplete or estimated data. In addition, all coincidence factors calculated from these load patterns are approximations of the corresponding instantaneous peak faced by the system. In fact, a common practice is to define this instantaneous peak as the bench mark and specify all coincidence factors in relation to this peak and time. The advantage of this approach is that all peak can be easily converted into their contribution to the overall system peak, the disadvantage is that the relationship between any two groups cannot be so clearly specified and will likely be incorrectly specified.

The Power Market Survey Model depends upon specified coincidence factors between consumption categories and between consumption areas in the aggregation of peak loads from consumers to the peaks at grid stations and at DISCO level and at the level of overall system peak. The coincidence factors estimated for the medium term model have been

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FESCO based on the limited available PEPCO records of the peak loads at various points in their respective systems.

3.8 Forecast Calculations

The forecast calculations involve three basic steps. Firstly, an energy forecast is determined at the area (or subarea) level using per consumer growth rates and incremental consumption estimates from the data base. This is then converted to a peak demand forecast, again at the area (or subarea) level using the input load and diversity factors. Then transmission and distribution losses are added and final step is to accumulate the areas into their corresponding grid stations, and grid stations into their DISCO and finally all DISCOs to form the system.

3.9 Energy Calculations

The basic calculation unit is the area or subarea. The data base provides the base year energy consumption level for each of six consumption categories: domestic, commercial, public lighting, small industrial, private tube wells and medium and large industry. The database also includes the peak demand associated with the medium and large industry category. The domestic energy forecast for year 1 (the base year is year 0) is calculated by multiplying the base year consumption by the domestic per consumer growth rate to account for growth in the intensity of use in the sector then adding the incremental consumption listed in the data base to account for new use in the sector. This process is repeated for the remaining five energy sectors (plus the medium and large industrial demand) for each of the remaining 9 years. The total energy consumed in the subarea within the year is then computed.

3.10 Peak Demand Calculations

The annual energy values for each of the domestic, commercial, public lighting, small industry and private tube well categories are converted to peak demand using the load factors listed in the appropriate input parameter file and adjusted to account for coincidence within the category. The annual peak demand for the area or subarea is computed as the sum of the individual category peaks multiplied by coincidence factors within the subarea and for each subarea within an area

3.11 Accumulations

The total energy and peak demand at a given grid station is calculated as the sum of all the areas and subareas in that grid station's service area plus an allowance for distribution losses. Peak demand estimates are accumulated and different coincidence factors applied to city, town and village areas within the service area. The total energy and peak demand within a given DISCO is the sum of all grid stations in that DISCO plus traction and an allowance for transmission losses. Peak demands are again diversified in the accumulation, and the system totals are obtained from DISCO’s total with some coincidence.

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FESCO 4 PMS Forecast Result 4.1 Recorded Forecast (Without Load Shedding)

The term ‘recorded’ means the sale used has not been adjusted for un-served energy (load shedding). Forecasted sale, transmission and distribution losses, generation requirements and peak demand without load shedding has been shown on Table 1-1.

4.2 Computed Forecast (Including Load Shedding)

The term ‘computed’ means the sale used has been adjusted for un-served energy (load shedding) and it is considered as base forecast. Computed forecast has been shown in Table 1-2. Peak demand of this table has been demonstrated graphically in Figure 1-6. Similarly energy sale and energy purchased also have been shown in Figure 1-7, the difference shows the losses of DISCO.

Computed Peak Demand

6000 5000 4000 3000 2000 1000 0

Figure 1- 6: Computed Peak Demand

30000 25000 20000 Energy 15000 Purchased 10000 (GWh) 5000 Energy Sale 0 (GWh)

Figure 1- 7: Energy Purchased vs. Energy Sale

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FESCO 4.3 Category wise Forecasted Energy Sale (GWh)

Percentage share of each consumer category in total sale of year 2017-18 and year 2023-24 has been depicted in Figure 1-8.

2017-18 1645(GWh), 10% 7195 (GWh), 45%

Domestic Commercial Public Light 5735(GWh), 36% Small Industries 585(GWh), M&L Industries 10(GWh), 877(GWh), 4% 0% 5% Tube Well

2023-24 2814(GWh), 11% 10824(GWh), 44%

Domestic Commercial Public Light 9077(GWh), Small Industries 37% 1370(GWh), M&L Industries 681(GWh), 12(GWh), 5% Tube Well 3% 0%

Figure 1- 8: Category Wise Sale Forecast

The category-wise forecasted sale with and without load shedding are shown in Table 1-3 and 1-4 respectively.

4.4 Category wise Power Demand (MW)

Power demand projection is the most important parameter for the planning of generation, transmission facility and distribution, may it be long term planning or short term planning.

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FESCO Tables 1-5 and 1-6 show the category wise demand (MW) without and with load shedding respectively.

4.5 Peak Demand of Substations

A projection at a sub-station is the most peculiar feature of this report. It is indeed a very rare and useful forecast. It’s the base of transmission system expansion planning. It also provides a very solid ground for proposing a new sub-station or augmentation, extension and conversion of a sub-station. All the losses have been considered for calculating the peak demand of substations. The peak demand of each substation situated in the service area of the DISCO has been shown in the Table 1-21.

4.6 Per Capita Consumption

Per capita consumption is a very vivid indicator of development in a country. Usually developed countries have very high per capita consumption. The consumption for the years 2004-05, 2012-13, 2013-14, 2017-18, 2019-20 and 2023-24 are obtained from forecasted data. Per capita consumption (kWh/person) is given in Figure 1-9.

800 701 700 588 590 557 600 491 493 500

400

300

200

100

0 2004-05 2012-13 2013-14 2017-18 2019-20 2023-24

Figure 1- 9: Per Capita Consumption

4.7 Category-wise Substation-wise Energy and Demand Projections

The category-wise substation-wise energy and demand projections have been presented in Table 1-22. The last column of the table contains power factor and reactive power values. In order to reduce the volume of the report, only the values of last year are presented i.e. 2023-24.

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FESCO 4.8 Civil Administrative Area Forecast

The FESCO service area comprises of two civil administrative division i.e. Faisalabad and Sargodha and has eight districts; Faisalabad, Chiniot, Jhang, T.T.Sing, Sargodha, Kushab, Mianwali, and Bhakkar. The District-wise and civil administrative Division -wise energy and demand projections have been presented in Tables 1-7 to 1-16. The last column of the table contains peak demand.

4.9 Monthly Demand (MW) Projections

The Month–wise demand (MW) projection have been presented in Table 1-17. To develop this projection, monthly demand factors are computed for last five years and then its average is taken as a base for monthly demand projection.

4.10 List of Overloaded Substations

There have been several incidents of damage and fire at a number of sub-stations across the country due to overloading and they need augmentation or addition of a transformer. The list of overloaded substation will inform about that particular year in which a substation will be overloaded. The overloading criterion of a substation has been considered as 85% i.e. when any substation is 85% loaded the remedial measures should be taken in the form of new substation or augmentation of the existing transformers. Table 1-18 and Table 1-19 shows the list of overloaded substations based on overloading criterion of 85% and 100% respectively.

4.11 List of Grids with their Codes and MVA Capacities

The list Grids containing each substation having their codes and MVA capacities are enlisted in the Table 1-20.

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FESCO Table 1- 1: Recorded Forecast (Excluding Load Shedding)

Energy Distribution Transmission Energy Load Peak Year Sale Losses Losses Sent out Factor Demand (GWh) G.R (GWh) (%) (GWh) (%) (GWh) (%) (MW)

2013-14 9682 1016 9.3 198 1.81 10896 66 1890

2014-15 10285 6.2 1067 9.2 209 1.81 11561 66 2003

2015-16 11024 7.2 1118 9.0 222 1.80 12365 66 2136

2016-17 11806 7.1 1172 8.9 236 1.79 13214 66 2277

2017-18 12737 7.9 1226 8.6 253 1.78 14216 67 2440

2018-19 13700 7.6 1287 8.4 270 1.77 15256 67 2610

2019-20 14708 7.4 1350 8.3 287 1.76 16346 67 2788

2020-21 16018 8.9 1426 8.0 311 1.75 17755 67 3014

2021-22 17434 8.8 1512 7.8 335 1.74 19281 68 3259

2022-23 19046 9.2 1615 7.7 364 1.73 21025 68 3543

2023-24 20487 7.6 1752 7.7 389 1.72 22628 68 3820

Ave. Growth 7.78% 7.58% 7.29% (2014-2024)

15

FESCO Table 1- 2: PMS Base Forecast

Computed Computed Computed Distribution Transmission Load Energy G.R Energy Peak G.R Losses Losses Factor Year Load Shed Sent Out Demand

(GWh) (%) (GWh) (%) (GWh) (%) (GWh) (%) (MW) (%)

2013-14 12562 1319 9.5 256.4 1.81 14137 55 2958

2014-15 13266 5.6 1375 9.4 269.4 1.81 14911 55 3113 5.3

2015-16 14111 6.4 1433 9.2 284.5 1.80 15828 55 3293 5.8

2016-17 15002 6.3 1493 9.1 300.2 1.79 16795 55 3482 5.7

2017-18 16047 7.0 1553 8.8 318.6 1.78 17919 55 3699 6.2

2018-19 17129 6.7 1622 8.7 337.5 1.77 19088 56 3925 6.1

2019-20 18261 6.6 1694 8.5 357.2 1.76 20312 56 4161 6.0

2020-21 19713 8.0 1782 8.3 382.6 1.75 21878 56 4458 7.1

2021-22 21277 7.9 1879 8.1 409.9 1.74 23566 56 4779 7.2

2022-23 23084 8.5 1998 8.0 441.4 1.73 25524 56 5157 7.9

2023-24 24777 7.3 2159 8.0 470.6 1.72 27407 56 5541 7.4 Ave. Growth 7.03% 6.84% 6.48% (2014-2024)

16

FESCO Table 1- 3: Category Wise Sale – GWh (Excluding Load Shedding)

Small M&L Domestic Commercial Public Light Tube Well Total Year Industries Industries Energy G.R Energy G.R Energy G.R Energy G.R Energy G.R Energy G.R Energy G.R

2013-14 4364 499 7 406 3575 831 9682

2014-15 4673 7.1 542 8.5 8 2.2 418 2.9 3702 3.6 943 13.6 10285 6.2

2015-16 4993 6.9 587 8.4 8 2.2 430 2.8 3943 6.5 1063 12.7 11024 7.2

2016-17 5339 6.9 637 8.5 8 2.2 442 2.8 4189 6.2 1191 12.0 11806 7.1

2017-18 5706 6.9 690 8.3 8 2.2 454 2.8 4552 8.7 1327 11.4 12737 7.9

2018-19 6086 6.7 747 8.2 8 2.2 467 2.8 4920 8.1 1472 10.9 13700 7.6

2019-20 6493 6.7 808 8.2 8 2.2 480 2.8 5293 7.6 1626 10.5 14708 7.4

2020-21 6945 7.0 872 8.0 9 2.2 493 2.7 5909 11.6 1790 10.1 16018 8.9

2021-22 7466 7.5 945 8.4 9 2.1 506 2.7 6542 10.7 1965 9.8 17434 8.8

2022-23 8081 8.2 1022 8.2 9 2.2 520 2.7 7262 11.0 2152 9.5 19046 9.2

2023-24 8887 10.0 1104 8.0 9 2.1 534 2.7 7602 4.7 2350 9.2 20487 7.6

Ave. Growth 7.37% 8.27% 2.16% 2.77% 7.84% 10.96% 7.78% (2014-2024)

17

FESCO Table 1- 4: Category Wise Sale – GWh (Base Forecast) Small M&L Domestic Commercial Public Light Tube Well Total Industries Industries Year Energy G.R Energy G.R Energy G.R Energy G.R Energy G.R Energy G.R Energy G.R

2013-14 5662 648 10 527 4638 1078 12562

2014-15 6016 6.3 699 8.0 10 2.1 541 2.7 4794 3.4 1206 11.9 13266 5.6

2015-16 6384 6.1 754 7.9 10 2.1 555 2.7 5064 5.6 1343 11.4 14111 6.4

2016-17 6778 6.2 814 7.9 10 2.1 570 2.6 5341 5.5 1489 10.9 15002 6.3

2017-18 7195 6.2 877 7.8 10 2.1 585 2.6 5735 7.4 1645 10.4 16047 7.0

2018-19 7627 6.0 945 7.7 11 2.1 600 2.6 6135 7.0 1810 10.1 17129 6.7

2019-20 8088 6.0 1018 7.7 11 2.1 616 2.6 6542 6.6 1987 9.7 18261 6.6

2020-21 8603 6.4 1095 7.6 11 2.1 632 2.6 7198 10.0 2174 9.5 19713 8.0

2021-22 9190 6.8 1182 7.9 11 2.1 648 2.6 7872 9.4 2374 9.2 21277 7.9

2022-23 9891 7.6 1273 7.7 12 2.1 664 2.5 8656 10.0 2587 9.0 23084 8.5

2023-24 10824 9.4 1370 7.6 12 2.1 681 2.5 9077 4.9 2814 8.8 24777 7.3 Ave. Growth 6.69% 7.78% 2.12% 2.60% 6.94% 10.07% 7.03% (2014-2024)

18

FESCO Table 1- 5: Category Wise Demand – MW (Excluding Load Shedding)

Small M&L Domestic Commercial Public Light Tube Well Total Year Industries Industries Demand G.R Demand G.R Demand G.R Demand G.R Demand G.R Demand G.R Demand G.R

2013-14 800 100 3 57 714 140 1677

2014-15 857 7.1 109 8.6 3 2.2 58 2.9 739 3.5 159 14.2 1780 6.1

2015-16 917 6.9 118 8.5 3 2.1 60 2.9 780 5.5 180 13.3 1902 6.9

2016-17 980 7.0 128 8.5 3 2.2 62 2.9 821 5.3 203 12.5 2031 6.8

2017-18 1049 7.0 138 8.3 3 2.2 64 2.8 878 7.0 227 11.8 2183 7.5

2018-19 1120 6.8 150 8.2 3 2.2 65 2.8 937 6.7 252 11.2 2340 7.2

2019-20 1196 6.8 162 8.2 3 2.2 67 2.8 996 6.3 280 10.8 2504 7.0

2020-21 1280 7.1 175 8.0 3 2.1 69 2.8 1090 9.4 309 10.3 2713 8.3

2021-22 1378 7.6 190 8.4 3 2.2 71 2.8 1187 8.9 339 10.0 2940 8.4

2022-23 1493 8.3 206 8.2 3 2.2 73 2.7 1301 9.7 372 9.7 3201 8.9

2023-24 1643 10.1 222 8.1 3 2.1 75 2.7 1369 5.2 407 9.4 3451 7.8 Ave. Growth 7.46% 8.32% 2.16% 2.82% 6.72% 11.30% 7.48% (2014-2024)

19

FESCO Table 1- 6: Category Wise Demand – MW (Including Load Shedding)

Small M&L Domestic Commercial Public Light Tube Well Total Industries Industries Year Demand G.R Demand G.R Demand G.R Demand G.R Demand G.R Demand G.R Demand G.R

2013-14 1226 153 4 158 1094 201 2624

2014-15 1303 6.3 165 8.0 4 2.1 162 2.7 1130 3.4 225 11.9 2766 5.4

2015-16 1383 6.1 178 7.9 4 2.1 166 2.7 1186 4.9 251 11.3 2931 6.0

2016-17 1469 6.2 193 8.0 4 2.1 170 2.6 1242 4.8 278 10.8 3105 5.9

2017-18 1560 6.2 208 7.8 4 2.1 175 2.6 1318 6.1 307 10.4 3307 6.5

2018-19 1655 6.1 224 7.7 4 2.1 179 2.6 1396 5.9 338 10.0 3515 6.3

2019-20 1757 6.1 241 7.8 4 2.1 184 2.6 1474 5.6 371 9.7 3734 6.2

2020-21 1870 6.5 260 7.6 4 2.1 189 2.6 1595 8.2 406 9.4 4009 7.4

2021-22 1999 6.9 280 7.9 5 2.1 194 2.6 1720 7.8 443 9.2 4305 7.4

2022-23 2154 7.7 302 7.8 5 2.1 199 2.5 1871 8.8 483 9.0 4653 8.1

2023-24 2358 9.5 325 7.7 5 2.1 204 2.5 1972 5.4 525 8.8 4998 7.4

Ave. Growth 6.76% 7.82% 2.12% 2.60% 6.07% 10.05% 6.66% (2014-2024)

20

FESCO Table 1- 7: District-wise Energy (GWh) and Demand (MW) Forecast For District: Faisalabad Load Energy Sale Distribution Transmission Generation Peak Factor Year Losses Losses Demand (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 6835 0.00 743 9.81 140 1.81 7718 47 1870

2014-15 7195 5.27 771 9.68 147 1.81 8113 47 1962

2015-16 7681 6.74 800 9.43 155 1.80 8635 47 2081

2016-17 8189 6.62 829 9.19 164 1.79 9182 48 2207

2017-18 8833 7.87 859 8.86 175 1.78 9868 48 2362

2018-19 9495 7.49 893 8.59 187 1.77 10575 48 2523

2019-20 10182 7.24 928 8.35 199 1.76 11309 48 2690

2020-21 11139 9.40 972 8.03 216 1.75 12327 48 2918

2021-22 12152 9.09 1021 7.75 233 1.74 13406 48 3159

2022-23 13311 9.54 1083 7.52 253 1.73 14648 49 3439

2023-24 14207 6.73 1167 7.59 269 1.72 15643 49 3673

Ave. Growth 7.59% 7.32% 6.99% (2014-2024)

21

FESCO Table 1- 8: District-wise Energy (GWh) and Demand (MW) Forecast For District: Chiniot

Distribution Transmission Peak Energy Sale Generation Load Factor Losses Losses Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 569 0.00 65 10.19 12 1.81 645 35 212

2014-15 612 7.56 68 10.04 13 1.81 693 35 225

2015-16 657 7.37 72 9.89 13 1.80 742 35 240

2016-17 705 7.29 76 9.74 14 1.79 795 36 255

2017-18 755 7.18 80 9.59 15 1.78 851 36 271

2018-19 808 7.03 85 9.47 16 1.77 909 36 287

2019-20 865 6.96 89 9.36 17 1.76 971 36 305

2020-21 927 7.18 95 9.28 18 1.75 1040 37 325

2021-22 994 7.29 101 9.21 19 1.74 1115 37 347

2022-23 1072 7.80 108 9.13 21 1.73 1200 37 372

2023-24 1165 8.65 117 9.10 22 1.72 1304 37 404

Ave. Growth 7.43% 7.29% 6.68% (2014-2024)

22

FESCO Table 1- 9: District-wise Energy (GWh) and Demand (MW) Forecast For District: Jhang Distribution Transmission Peak Energy Sale Generation Load Factor Losses Losses Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 1086 0.00 123 10.16 22 1.81 1231 40 350

2014-15 1166 7.38 130 10.01 24 1.81 1319 40 374

2015-16 1250 7.24 137 9.86 25 1.80 1413 40 399

2016-17 1339 7.12 144 9.71 27 1.79 1510 41 425

2017-18 1433 7.01 152 9.56 29 1.78 1613 41 452

2018-19 1532 6.90 160 9.45 30 1.77 1723 41 482

2019-20 1636 6.80 169 9.34 32 1.76 1837 41 512

2020-21 1753 7.12 179 9.26 34 1.75 1966 41 547

2021-22 1884 7.50 191 9.19 37 1.74 2112 41 586

2022-23 2036 8.08 204 9.12 39 1.73 2280 41 632

2023-24 2220 9.04 222 9.08 43 1.72 2485 41 688

Ave. Growth 7.42% 7.28% 6.99% (2014-2024)

23

FESCO Table 1- 10: District-wise Energy (GWh) and Demand (MW) Forecast For District: T.T. Sing

Distribution Transmission Peak Energy Sale Generation Load Factor Losses Losses Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 859 0.00 99 10.35 18 1.81 976 39 287

2014-15 1166 6.83 104 10.19 19 1.81 1041 39 304

2015-16 1250 6.69 109 10.02 20 1.80 1108 39 323

2016-17 1339 6.68 114 9.86 21 1.79 1180 39 342

2017-18 1433 6.55 120 9.70 22 1.78 1255 40 362

2018-19 1532 6.43 125 9.58 24 1.77 1334 40 383

2019-20 1636 6.42 132 9.45 25 1.76 1417 40 406

2020-21 1753 6.69 139 9.37 26 1.75 1510 40 431

2021-22 1884 6.96 147 9.29 28 1.74 1614 40 459

2022-23 2036 7.66 157 9.21 30 1.73 1736 40 492

2023-24 2220 8.73 170 9.17 32 1.72 1886 40 534

Ave. Growth 9.96% 6.81% 6.40% (2014-2024)

24

FESCO Table 1- 11: District-wise Energy (GWh) and Demand (MW) Forecast For District: Sargoda Distribution Transmission Peak Energy Sale Generation Load Factor Losses Losses Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 1277 0.00 147 10.35 26 1.81 1451 34 492

2014-15 1352 5.90 153 10.19 28 1.81 1533 34 518

2015-16 1431 5.79 159 10.02 29 1.80 1619 34 544

2016-17 1514 5.83 166 9.86 31 1.79 1710 34 572

2017-18 1601 5.74 172 9.70 32 1.78 1805 34 600

2018-19 1691 5.64 179 9.58 34 1.77 1904 34 631

2019-20 1787 5.67 187 9.45 35 1.76 2009 35 662

2020-21 1894 6.00 196 9.37 37 1.75 2128 35 699

2021-22 2014 6.30 206 9.29 39 1.74 2259 35 739

2022-23 2158 7.16 219 9.21 42 1.73 2419 35 789

2023-24 2343 8.57 236 9.17 45 1.72 2624 35 853

Ave. Growth 6.26% 6.11% 5.65% (2014-2024)

25

FESCO Table 1- 12: District-wise Energy (GWh) and Demand (MW) Forecast For District: Khusahb Distribution Peak Energy Sale Transmission Losses Generation Load Factor Losses Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 734 0.00 47 6.00 14 1.81 795 47 193

2014-15 758 3.32 49 6.05 15 1.81 822 47 200

2015-16 784 3.35 51 6.09 15 1.80 850 47 207

2016-17 811 3.45 53 6.12 16 1.79 879 47 215

2017-18 839 3.47 55 6.14 16 1.78 910 46 224

2018-19 868 3.50 57 6.18 17 1.77 942 46 233

2019-20 900 3.59 60 6.22 17 1.76 976 46 242

2020-21 935 3.90 63 6.29 46 1.75 1015 46 252

2021-22 974 4.18 66 6.36 18 1.74 1058 46 264

2022-23 1021 4.88 70 6.44 19 1.73 1111 46 279

2023-24 1081 5.86 76 6.57 20 1.72 1177 45 297

Ave. Growth 3.95% 4.00% 4.43% (2014-2024)

26

FESCO Table 1- 13: District -wise Energy (GWh) and Demand (MW) Forecast For District: Mianwali Distribution Transmission Peak Energy Sale Generation Load Factor Losses Losses Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 908 0.00 60 6.24 18 1.81 986 35 320

2014-15 949 4.52 64 6.32 19 1.81 1032 35 334

2015-16 992 4.54 68 6.39 19 1.80 1079 35 349

2016-17 1038 4.66 72 6.45 20 1.79 1130 35 366

2017-18 1087 4.66 75 6.49 21 1.78 1183 35 382

2018-19 1138 4.67 80 6.55 22 1.77 1239 35 400

2019-20 1192 4.78 84 6.60 23 1.76 1299 35 419

2020-21 1251 4.97 90 6.68 24 1.75 1365 35 439

2021-22 1318 5.31 95 6.76 25 1.74 1438 35 463

2022-23 1394 5.76 102 6.83 26 1.73 1522 35 490

2023-24 1486 6.61 111 6.95 28 1.72 1625 35 524

Ave. Growth 5.05% 5.12% 5.05% (2014-2024)

27

FESCO Table 1- 14: District -wise Energy (GWh) and Demand (MW) Forecast For District: Bhakkar Peak Energy Sale Distribution Losses Transmission Losses Generation Load Factor Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 294 0.00 34 10.35 6 1.81 334 31 121

2014-15 315 7.18 36 10.19 6 1.81 358 32 129

2015-16 337 6.99 38 10.02 7 1.80 382 32 137

2016-17 361 6.99 39 9.86 7 1.79 408 32 145

2017-18 386 6.83 41 9.70 8 1.78 435 32 154

2018-19 411 6.68 44 9.58 8 1.77 463 32 163

2019-20 439 6.68 46 9.45 9 1.76 493 33 173

2020-21 469 6.92 49 9.37 9 1.75 527 33 184

2021-22 503 7.23 52 9.29 10 1.74 565 33 196

2022-23 543 7.83 55 9.21 11 1.73 608 33 211

2023-24 592 9.08 60 9.17 11 1.72 663 33 229

Ave. Growth 7.24% 7.09% 6.57% (2014-2024)

28

FESCO Table 1- 15: Division-wise Energy (GWh) and Demand (MW) Forecast For Divison: Faisalabad

Energy Sale Generation Load Factor Peak Year Distribution Losses Transmission Losses Demand (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 9349 0.00 1030 9.92 192 1.81 10570 46 2633

2014-15 9891 5.80 1073 9.79 202 1.81 11166 46 2776

2015-16 10567 6.83 1118 9.56 214 1.80 11898 46 2947

2016-17 11278 6.73 1163 9.35 226 1.79 12668 46 3126

2017-18 12135 7.60 1210 9.07 242 1.78 13586 46 3339

2018-19 13020 7.29 1263 8.84 257 1.77 14540 47 3559

2019-20 13944 7.09 1317 8.63 273 1.76 15534 47 3789

2020-21 15164 8.75 1385 8.37 295 1.75 16843 47 4087

2021-22 16469 8.61 1459 8.14 317 1.74 18246 47 4406

2022-23 17969 9.11 1552 7.95 344 1.73 19864 47 4779

2023-24 19276 7.28 1676 8.00 366 1.72 21318 47 5131

Ave. Growth 7.50% 7.27% 6.90% (2014-2024)

29

FESCO Table 1- 16: Division-wise Energy (GWh) and Demand (MW) Forecast For Divison: Sargodha

Peak Energy Sale Distribution Losses Transmission Losses Generation Load Factor Demand Year (GWh) G.R.(%) (GWh) % (GWh) % (GWh) % (MW)

2013-14 3213 0.00 289 8.24 65 1.81 3567 37 1091

2014-15 3375 5.04 302 8.21 68 1.81 3745 37 1143

2015-16 3544 5.00 315 8.17 71 1.80 3930 37 1198

2016-17 3724 5.09 329 8.13 74 1.79 4128 37 1257

2017-18 3912 5.05 344 8.07 77 1.78 4333 38 1317

2018-19 4109 5.02 360 8.05 80 1.77 4549 38 1381

2019-20 4318 5.09 376 8.02 84 1.76 4778 38 1449

2020-21 4550 5.37 397 8.02 88 1.75 5034 38 1525

2021-22 4808 5.69 419 8.02 93 1.74 5320 38 1609

2022-23 5115 6.38 446 8.03 98 1.73 5659 38 1712

2023-24 5501 7.55 483 8.07 105 1.72 6089 38 1843

Ave. Growth 5.52% 5.49% 5.39% (2014-2024)

30

FESCO

Table 1- 17: Monthly Peak Demand Forecast

July August September October November December January February March April May June Year (MW) (MW) (MW) (MW) (MW) (MW) (MW) (MW) (MW) (MW) (MW) (MW)

2013-14 2745 2650 2500 2307 1568 1651 1787 1725 2011 2257 2633 2958

2014-15 2889 2790 2631 2428 1650 1737 1881 1815 2117 2376 2771 3113

2015-16 3056 2950 2783 2569 1745 1837 1989 1920 2239 2513 2931 3293

2016-17 3231 3120 2942 2716 1846 1943 2103 2030 2368 2657 3099 3482

2017-18 3433 3314 3126 2885 1960 2064 2234 2156 2515 2822 3292 3699

2018-19 3642 3517 3316 3061 2080 2190 2371 2288 2669 2995 3493 3925

2019-20 3862 3728 3516 3246 2205 2322 2513 2426 2830 3175 3704 4161

2020-21 4137 3994 3767 3477 2363 2488 2693 2599 3032 3402 3968 4458

2021-22 4435 4282 4038 3728 2533 2667 2887 2786 3250 3647 4253 4779

2022-23 4786 4621 4358 4023 2733 2878 3115 3007 3507 3935 4590 5157

2023-24 5142 4965 4682 4322 2937 3092 3347 3230 3768 4228 4931 5541

31

FESCO

Table 1- 18: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85% Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

1 BHAMB 132 16 52 43.68 37.13 85.00 2013-14 60.20 0.84 2 CHINIOT ROAD 132 28 120 105.60 89.76 85.00 2013-14 116.00 0.88 3 GOJRA 132 47 132 113.52 96.49 85.00 2018-19 93.30 0.86 4 HAVELI B.SHAH 132 61 52 43.68 37.13 85.00 2017-18 35.40 0.84 5 132 73 92 78.20 66.47 85.00 2013-14 86.00 0.85 6 JOHARABAD 132 76 66 56.76 48.25 85.00 2013-14 78.00 0.86 7 JHANG-1 132 78 92 78.20 66.47 85.00 2013-14 92.30 0.85 8 JHANG ROAD 132 79 118 101.48 86.26 85.00 2013-14 131.10 0.86 9 KAMALIA 132 93 66 54.78 46.56 85.00 2013-14 68.30 0.83 10 KHEWA 132 108 39 31.59 26.85 85.00 2013-14 32.80 0.81 11 KUD LATHI 132 115 42 37.38 31.77 85.00 2013-14 32.70 0.89 12 MIANWALI 132 134 66 54.78 46.56 85.00 2013-14 78.70 0.83 13 NARWALA ROAD 132 143 92 79.12 67.25 85.00 2013-14 105.90 0.86 14 PIPLAN 132 160 39 34.71 29.50 85.00 2013-14 34.40 0.89 15 ROAD 132 205 118 102.66 87.26 85.00 2013-14 116.90 0.87 16 ADHI KOT 66 226 13 11.70 9.95 85.00 2013-14 14.60 0.90 17 AHMAD PUR SIAL 66 227 20 17.80 15.13 85.00 2013-14 20.80 0.89 18 BHABRA 66 242 18.1 15.93 13.54 85.00 2013-14 26.10 0.88 19 BHALWAL 132 243 52 44.72 38.01 85.00 2013-14 48.10 0.86 20 66 244 31 25.42 21.61 85.00 2013-14 41.90 0.82 21 CHUTIANA 66 255 13 11.57 9.84 85.00 2013-14 11.50 0.89 22 FAZIL 66 275 13 11.57 9.84 85.00 2013-14 14.00 0.89

32

FESCO

Table 1- 19: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85%

Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

23 KALA BAGH 66 298 13 10.79 9.17 85.00 2013-14 14.40 0.83 24 MANKERA 66 322 13 10.92 9.28 85.00 2013-14 12.30 0.84 25 MURID WALA 132 331 66 55.44 47.12 85.00 2013-14 53.40 0.84 26 RAKH DAGRAN 66 333 26.3 23.67 20.12 85.00 2013-14 23.50 0.90 27 NIA LAHORE 66 334 31.8 27.03 22.98 85.00 2013-14 31.40 0.85 28 OLD THERMAL 66 339 13 11.70 9.95 85.00 2013-14 14.70 0.90 29 MAKAR WAL 66 352 13 10.79 9.17 85.00 2013-14 11.30 0.83 30 SARGODHA-1 132 363 80 72.00 61.20 85.00 2013-14 82.40 0.90 31 SHOR KOT CITY 66 373 13 11.05 9.39 85.00 2013-14 29.60 0.85 32 TRAG 66 395 18.7 15.71 13.35 85.00 2013-14 20.60 0.84 33 220KV JARANWALA 220 420 52 44.72 38.01 85.00 2013-14 58.30 0.86 34 MANJALA BAGH 132 421 52 42.64 36.24 85.00 2013-14 37.00 0.82 35 JAHANIAN SHAH 66 422 18 15.84 13.46 85.00 2020-21 12.90 0.88 36 NUSHERA SAKESAR 66 423 11.9 10.59 9.00 85.00 2013-14 13.20 0.89 37 PATHAN KOT 66 425 26 22.10 18.79 85.00 2013-14 38.30 0.85 38 OLD THERMAL 132 431 120 103.20 87.72 85.00 2013-14 120.20 0.86 39 BHAKKAR 66 439 13 10.79 9.17 85.00 2017-18 8.70 0.83 40 MEHMOOD KOT 66 441 13 11.57 9.84 85.00 2013-14 15.10 0.89 41 18-HAZARI 66 442 23 20.24 17.20 85.00 2013-14 25.00 0.88 42 DAUD KHEL 132 458 13 11.44 9.72 85.00 2013-14 14.40 0.88 43 TANDLIAN WALA 132 459 52 43.16 36.69 85.00 2013-14 54.60 0.83 44 S.PUR NOON 132 523 16 14.24 12.10 85.00 2013-14 14.00 0.89

33

FESCO

Table 1- 20: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85%

Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

45 SAR-LUDEWALA 132 524 13 11.70 9.95 85.00 2013-14 37.30 0.90 46 BEHAL 66 525 13 10.92 9.28 85.00 2013-14 16.40 0.84 47 66 526 23.5 19.74 16.78 85.00 2013-14 26.80 0.84 48 WAN BUCHRAN 132 581 52 43.16 36.69 85.00 2018-19 36.10 0.83 49 HEAD FAQIRIAN 132 585 52 46.28 39.34 85.00 2013-14 42.50 0.89 50 132 595 52 44.72 38.01 85.00 2013-14 52.70 0.86 51 QUAID ABAD 132 598 26 22.10 18.79 85.00 2013-14 26.30 0.85 52 TALIB WALA 132 601 52 46.80 39.78 85.00 2013-14 40.50 0.90 53 FACTORY AREA 132 618 118 101.48 86.26 85.00 2013-14 109.50 0.86 54 CHINIOT 132 641 92 78.20 66.47 85.00 2013-14 93.00 0.85 55 132 673 78 69.42 59.01 85.00 2013-14 69.70 0.89 56 HYDER ABAD THAL 66 686 5 4.45 3.78 85.00 2013-14 4.40 0.89 57 BHAKKAR 132 759 52 46.28 39.34 0.00 2013-14 62.40 0.89 58 220KV SUMMANDRI 220 790 26 23.40 19.89 0.00 2013-14 22.90 0.90 59 INDUSTRIAL-ESTA 132 824 52 45.76 38.90 85.00 2013-14 53.80 0.88 60 132 853 78 67.08 57.02 85.00 2013-14 72.40 0.86 61 JHANG-2 132 856 52 44.20 37.57 85.00 2013-14 44.00 0.85 62 BANDALA 132 862 66 58.74 49.93 85.00 2013-14 62.30 0.89 63 220KV LUDEWALA 220 873 13 11.70 9.95 85.00 2015-16 9.70 0.90 64 KIRANA 132 908 52 46.80 39.78 85.00 2013-14 50.90 0.90 65 T.T.SINGH 132 918 52 46.28 39.34 85.00 2013-14 52.50 0.89 66 132 947 39 33.54 28.51 85.00 2013-14 29.60 0.86

34

FESCO

Table 1- 21: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 85%

Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

67 PIR MAHAL 132 948 52 43.68 37.13 85.00 2013-14 56.70 0.84 68 THEKRIWALA 132 953 39 33.93 28.84 85.00 2013-14 43.60 0.87 69 SHAH PUR 132 957 39 34.71 29.50 85.00 2013-14 29.90 0.89 70 132 976 52 43.68 37.13 85.00 2013-14 54.20 0.84 71 SAMUNDRI 132 984 52 46.28 39.34 85.00 2013-14 48.70 0.89 72 126 S.B SARGODH 132 1010 16 14.24 12.10 85.00 2013-14 36.50 0.89 73 SATIANA ROAD 132 1012 39 33.54 28.51 85.00 2013-14 40.70 0.86 74 103/RB CHUDRIWA 132 1018 52 46.80 39.78 85.00 2014-15 39.60 0.90 75 KAMAL PUR 132 1021 26 22.88 19.45 85.00 2013-14 23.80 0.88 76 BHERA INDUSTRIA 132 1065 13 11.70 9.95 85.00 2013-14 11.40 0.90 77 MILLAT ROAD 132 1077 39 34.32 29.17 85.00 2022-23 29.00 0.88 78 GAREH FATEH SHA 132 1079 26 21.06 17.90 85.00 2016-17 14.30 0.81

35

FESCO

Table 1- 22: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100% Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

1 BHAMB 132 16 52 43.68 43.68 100.00 2013-14 60.20 0.84 2 CHINIOT ROAD 132 28 120 105.60 105.60 100.00 2013-14 116.00 0.88 3 GOJRA 132 47 132 113.52 113.52 100.00 2021-22 110.90 0.86 4 HAVELI B.SHAH 132 61 52 43.68 43.68 100.00 2020-21 43.10 0.84 5 JARANWALA 132 73 92 78.20 78.20 100.00 2013-14 86.00 0.85 6 JOHARABAD 132 76 66 56.76 56.76 100.00 2013-14 78.00 0.86 7 JHANG-1 132 78 92 78.20 78.20 100.00 2013-14 92.30 0.85 8 JHANG ROAD 132 79 118 101.48 101.48 100.00 2013-14 131.10 0.86 9 KAMALIA 132 93 66 54.78 54.78 100.00 2013-14 68.30 0.83 10 KHEWA 132 108 39 31.59 31.59 100.00 2013-14 32.80 0.81 11 KUD LATHI 132 115 42 37.38 37.38 100.00 2016-17 37.10 0.89 12 MIANWALI 132 134 66 54.78 54.78 100.00 2013-14 78.70 0.83 13 NARWALA ROAD 132 143 92 79.12 79.12 100.00 2013-14 105.90 0.86 14 PIPLAN 132 160 39 34.71 34.71 100.00 2013-14 34.40 0.89 15 SAMUNDRI ROAD 132 205 118 102.66 102.66 100.00 2013-14 116.90 0.87 16 ADHI KOT 66 226 13 11.70 11.70 100.00 2013-14 14.60 0.90 17 AHMAD PUR SIAL 66 227 20 17.80 17.80 100.00 2013-14 20.80 0.89 18 BHABRA 66 242 18.1 15.93 15.93 100.00 2013-14 26.10 0.88 19 BHALWAL 132 243 52 44.72 44.72 100.00 2013-14 48.10 0.86 20 BHAWANA 66 244 31 25.42 25.42 100.00 2013-14 41.90 0.82 21 CHUTIANA 66 255 13 11.57 11.57 100.00 2013-14 11.50 0.89 22 FAZIL 66 275 13 11.57 11.57 100.00 2013-14 14.00 0.89

36

FESCO

Table 1- 23: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100% Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

23 KALA BAGH 66 298 13 10.79 10.79 100.00 2013-14 14.40 0.83 24 MANKERA 66 322 13 10.92 10.92 100.00 2013-14 12.30 0.84 25 NIA LAHORE 66 334 31.8 27.03 27.03 100.00 2013-14 31.40 0.85 26 OLD THERMAL 66 339 13 11.70 11.70 100.00 2013-14 14.70 0.90 27 MAKAR WAL 66 352 13 10.79 10.79 100.00 2013-14 11.30 0.83 28 SARGODHA-1 132 363 80 72.00 72.00 100.00 2013-14 82.40 0.90 29 SHOR KOT CITY 66 373 13 11.05 11.05 100.00 2013-14 29.60 0.85 30 TRAG 66 395 18.7 15.71 15.71 100.00 2013-14 20.60 0.84 31 220KV JARANWALA 220 420 52 44.72 44.72 100.00 2013-14 58.30 0.86 32 MANJALA BAGH 132 421 52 42.64 42.64 100.00 2021-22 40.90 0.82 NUSHERA 33 66 423 11.9 10.59 10.59 100.00 2013-14 13.20 0.89 SAKESAR 34 PATHAN KOT 66 425 26 22.10 22.10 100.00 2013-14 38.30 0.85 35 OLD THERMAL 132 431 120 103.20 103.20 100.00 2013-14 120.20 0.86 36 BHAKKAR 66 439 13 10.79 10.79 100.00 2019-20 10.10 0.83 37 MEHMOOD KOT 66 441 13 11.57 11.57 100.00 2013-14 15.10 0.89 38 18-HAZARI 66 442 23 20.24 20.24 100.00 2013-14 25.00 0.88 39 DAUD KHEL 132 458 13 11.44 11.44 100.00 2013-14 14.40 0.88 40 TANDLIAN WALA 132 459 52 43.16 43.16 100.00 2013-14 54.60 0.83 41 S.PUR NOON 132 523 16 14.24 14.24 100.00 2013-14 14.00 0.89 42 SAR-LUDEWALA 132 524 13 11.70 11.70 100.00 2013-14 37.30 0.90 43 BEHAL 66 525 13 10.92 10.92 100.00 2013-14 16.40 0.84 44 BARANA 66 526 23.5 19.74 19.74 100.00 2013-14 26.80 0.84

37

FESCO

Table 1- 24: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100%

Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

45 WAN BUCHRAN 132 581 52 43.16 43.16 100.00 2020-21 40.90 0.83 46 HEAD FAQIRIAN 132 585 52 46.28 46.28 100.00 2015-16 46.10 0.89 47 CHAK JHUMRA 132 595 52 44.72 44.72 100.00 2013-14 52.70 0.86 48 QUAID ABAD 132 598 26 22.10 22.10 100.00 2013-14 26.30 0.85 49 TALIB WALA 132 601 52 46.80 46.80 100.00 2016-17 46.50 0.90 50 FACTORY AREA 132 618 118 101.48 101.48 100.00 2013-14 109.50 0.86 51 CHINIOT 132 641 92 78.20 78.20 100.00 2013-14 93.00 0.85 52 KHURRIANWALA 132 673 78 69.42 69.42 100.00 2013-14 69.70 0.89 53 HYDER ABAD THAL 66 686 5 4.45 4.45 100.00 2013-14 4.40 0.89 54 BHAKKAR 132 759 52 46.28 46.28 100.00 2013-14 62.40 0.89 55 220KV SUMMANDRI 220 790 26 23.40 23.40 100.00 2013-14 22.90 0.90 56 INDUSTRIAL-ESTA 132 824 52 45.76 45.76 100.00 2013-14 53.80 0.88 57 NISHATABAD 132 853 78 67.08 67.08 0.00 2013-14 72.40 0.86 58 JHANG-2 132 856 52 44.20 44.20 0.00 2013-14 44.00 0.85 59 220KV LUDEWALA 220 873 13 11.70 11.70 100.00 2019-20 11.70 0.90 60 KIRANA 132 908 52 46.80 46.80 100.00 2013-14 50.90 0.90 61 T.T.SINGH 132 918 52 46.28 46.28 100.00 2013-14 52.50 0.89 62 SATIANA 132 947 39 33.54 33.54 100.00 2015-16 32.60 0.86 63 PIR MAHAL 132 948 52 43.68 43.68 100.00 2013-14 56.70 0.84 64 THEKRIWALA 132 953 39 33.93 33.93 100.00 2013-14 43.60 0.87 65 SHAH PUR 132 957 39 34.71 34.71 100.00 2020-21 33.90 0.89 66 LALIAN 132 976 52 43.68 43.68 100.00 2013-14 54.20 0.84

38

FESCO

Table 1- 25: List of Overloaded Substations during Period 2013-14 to 2023-24 Overloading Criterion 100%

Total Total Overloading Overloading Overloading Rating Grid Year of Power S.No. Name Capacity Capacity Criterion Criterion Status # Overloading Factor KV (MVA) (MW) (MW) (%) (MW)

67 SAMUNDRI 132 984 52 46.28 46.28 100.00 2013-14 48.70 0.89 68 126 S.B SARGODH 132 1010 16 14.24 14.24 100.00 2013-14 36.50 0.89 69 SATIANA ROAD 132 1012 39 33.54 33.54 100.00 2013-14 40.70 0.86 70 103/RB CHUDRIWA 132 1018 52 46.80 46.80 100.00 2018-19 46.00 0.90 71 KAMAL PUR 132 1021 26 22.88 22.88 100.00 2013-14 23.80 0.88 72 BHERA INDUSTRIA 132 1065 13 11.70 11.70 100.00 2013-14 11.40 0.90 73 GAREH FATEH SHA 132 1079 26 21.06 21.06 100.00 2017-18 18.40 0.81

39

FESCO

Table 1- 26: List of Grids with their Codes & MVA Capacities

P O W E R M A R K E T S U R V E Y List of Grids With Their Codes And MVA Capacities For FESCO ------| SR. Grid Grid Transformers (MVA) | | SR. Grid Grid Transformers (MVA) | | No. No. KV Name T1 T2 T3 T4 Total | | No. No. KV Name T1 T2 T3 T4 Total | ------

1 16 132 BHAMB 26 26 52 2 28 132 CHINIOT ROAD 0

3 47 132 GOJRA 0 4 61 132 HAVELI B.SHAH 26 26 52

5 73 132 JARANWALA 0 6 76 132 JOHARABAD 40 26 66

7 78 132 JHANG-1 0 8 79 132 JHANG ROAD 0

9 93 132 KAMALIA 40 26 66 10 108 132 KHEWA 26 13 39

11 115 132 KUD LATHI 26 16 42 12 134 132 MIANWALI 26 40 66

13 143 132 NARWALA ROAD 0 14 160 132 PIPLAN 26 13 39

15 192 132 SHAHKOT 0 16 205 132 SAMUNDRI ROAD 0

17 226 66 ADHI KOT 13 13 18 227 66 AHMAD PUR SIAL 10 10 20

19 242 66 BHABRA 5 6 8 18 20 243 132 BHALWAL 26 26 52

21 244 66 BHAWANA 13 13 5 31 22 255 66 CHUTIANA 0

23 275 66 FAZIL 13 13 24 298 66 KALA BAGH 13 13

25 322 66 MANKERA 13 13 26 331 132 MURID WALA 40 26 66

27 333 66 RAKH DAGRAN 19 8 26 28 334 66 NIA LAHORE 13 19 32

29 339 66 OLD THERMAL 0 30 352 66 MAKAR WAL 13 13

31 363 132 SARGODHA-1 40 40 80 32 373 66 SHOR KOT CITY 13 13

33 395 66 TRAG 13 6 19 34 420 132 220KV JARANWALA 0

35 421 132 MANJALA BAGH 26 26 52 36 422 66 JAHANIAN SHAH 5 13 18

40

FESCO

Table 1-26: List of Grids with their Codes & MVA Capacities

P O W E R M A R K E T S U R V E Y List of Grids With Their Codes And MVA Capacities For FESCO ------| SR. Grid Grid Transformers (MVA) | | SR. Grid Grid Transformers (MVA) | | No. No. KV Name T1 T2 T3 T4 Total | | No. No. KV Name T1 T2 T3 T4 Total | ------

37 423 66 NUSHERA SAKESAR 6 6 12 38 425 66 PATHAN KOT 13 13 26

39 431 132 OLD THERMAL 0 40 439 66 BHAKKAR 13 13

41 441 66 MEHMOOD KOT 13 13 42 442 66 18-HAZARI 10 13 23

43 458 132 DAUD KHEL 13 13 44 459 132 TANDLIAN WALA 26 26 52

45 475 132 AGRI UNIVERSITY 0 46 523 132 S.PUR NOON 16 16

47 524 132 SAR-LUDEWALA 13 13 48 525 66 BEHAL 13 13

49 526 66 BARANA 13 11 24 50 581 132 WAN BUCHRAN 26 26 52

51 585 132 HEAD FAQIRIAN 26 26 52 52 595 132 CHAK JHUMRA 26 26 52

53 597 132 NOOR PUR SETHI 0 54 598 132 QUAID ABAD 26 26

55 601 132 TALIB WALA 0 56 618 132 FACTORY AREA 0

57 641 132 CHINIOT 0 58 673 132 KHURRIANWALA 0

59 686 66 HYDER ABAD THAL 5 5 60 759 132 BHAKKAR 26 26 52

61 790 132 220KV SUMMANDRI 0 62 793 132 220KV MARI INDU 0

63 824 132 INDUSTRIAL-ESTA 0 64 853 132 NISHATABAD 0

65 856 132 JHANG-2 26 26 52 66 862 132 BANDALA 0

67 867 132 SCARP COLONY 0 68 873 132 220KV LUDEWALA 0

69 908 132 KIRANA 26 26 52 70 918 132 T.T.SINGH 26 26 52

71 947 132 SATIANA 0 72 948 132 PIR MAHAL 26 26 52

73 953 132 THEKRIWALA 26 13 39 74 957 132 SHAH PUR 13 26 39

75 976 132 LALIAN 26 26 52 76 984 132 SAMUNDRI 26 26 52

77 1010 132 126 S.B SARGODH 16 16

41

FESCO

Table 1- 27: Maximum Demand (MW) of Substations

P O W E R M A R K E T S U R V E Y : LOAD CENTRE SUMMARY MAXIMUM DEMAND (MW) OF GRIDSTATIONS DISCO: FESCO ------|GRID| NAME OF | |______Y____E____A____R______| |NO. | GRIDSTATION |KV | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | ------1. 2211 Chak 279 FS 132 0.0 0.0 0.0 0.0 30.7 31.7 32.8 34.1 35.4 37.2 39.6

2. 2217 Jhawarian 132 0.0 0.0 0.0 0.0 0.0 0.0 16.4 17.0 17.8 18.7 19.9

3. 2216 Sidhar By P 132 0.0 0.0 0.0 0.0 0.0 26.7 27.6 28.7 29.8 31.5 33.6

4. 2208 208 RB (P) 132 0.0 0.0 0.0 14.5 15.0 15.6 16.1 16.8 17.5 18.4 19.6

5. 2205 ADHA 132 0.0 0.0 0.0 23.4 24.4 25.4 26.5 27.7 28.9 30.5 32.5

6. 2201 ALLIED FSD ( 132 0.0 0.0 60.6 62.9 65.2 67.6 70.1 73.0 76.0 80.2 85.4

7. 1991 AMIN PUR ROA 132 0.0 0.0 0.0 0.0 0.0 30.2 32.1 34.2 36.4 39.0 42.1

8. 2209 (P) 132 0.0 0.0 0.0 0.0 46.3 48.0 49.7 51.7 53.8 56.7 60.6

9. 2207 BANDALA-II ( 132 0.0 0.0 0.0 45.8 47.4 49.1 50.8 52.9 55.0 58.2 62.3

10. 1993 BHAKKAR-II D 132 0.0 0.0 0.0 0.0 0.0 10.4 10.9 11.4 12.0 12.7 13.7

11. 2220 Bagh TT Sing 132 0.0 0.0 0.0 0.0 0.0 0.0 21.6 22.7 23.8 25.2 26.9

12. 2214 Bukharian 132 0.0 0.0 0.0 0.0 0.0 9.5 9.9 10.4 10.8 11.4 12.2

13. 1988 CHENAB NAGAR 132 0.0 0.0 29.6 31.2 32.8 34.5 36.2 38.2 40.3 42.9 46.1

14. 1985 CHINIOT-II ( 132 0.0 0.0 0.0 0.0 23.3 25.4 27.5 29.9 32.4 35.3 38.7

15. 2210 College Road 132 0.0 0.0 0.0 0.0 21.5 22.2 23.0 23.8 24.7 25.9 27.5

16. 2204 (P) 132 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

17. 2203 GULISTAN COL 132 0.0 0.0 0.0 8.7 8.9 9.3 9.6 9.9 10.3 10.8 11.5

18. 2212 Gojra Road J 132 0.0 0.0 0.0 0.0 6.4 6.7 6.9 7.2 7.5 7.9 8.4

19. 2202 JARANWALA RD 132 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

20. 1990 KOT MOMIN (P 132 0.0 0.0 0.0 0.0 21.8 22.8 23.8 25.0 26.2 27.7 29.7

21. 2215 Katha Road K 132 0.0 0.0 0.0 0.0 0.0 6.7 7.0 7.3 7.7 8.1 8.7

22. 1989 132 0.0 0.0 0.0 24.3 25.7 27.1 28.6 30.3 32.0 34.1 36.5

23. 1997 SARGODHA-III 132 0.0 0.0 0.0 0.0 0.0 29.6 31.0 32.7 34.4 36.6 39.5

24. 1992 SPS COLONY ( 132 0.0 0.0 31.3 32.7 34.2 35.8 37.4 39.3 41.2 43.7 46.9 25. 2218 Sandhilian W 132 0.0 0.0 0.0 0.0 0.0 0.0 17.3 18.1 19.0 20.0 21.4 42

FESCO

P O W E R M A R K E T S U R V E Y

: LOAD CENTRE SUMMARY MAXIMUM DEMAND (MW) OF GRIDSTATIONS DISCO: FESCO ------|GRID| NAME OF | |______Y____E____A____R______| |NO. | GRIDSTATION |KV | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | ------26. 2213 Shaheen Abad 132 0.0 0.0 0.0 0.0 21.2 22.0 22.8 23.7 24.7 26.0 27.8

27. 2219 Srai Mohajir 132 0.0 0.0 0.0 0.0 0.0 0.0 13.1 17.2 18.0 18.9 20.2

28. 2206 TARIQABAD (P 132 0.0 0.0 0.0 8.9 9.2 9.5 9.9 10.3 10.7 11.2 11.9

29. 1966 USMAN-E-GHAN 132 0.0 0.0 0.0 54.4 56.8 59.4 62.0 64.9 68.0 71.8 76.6

30. 1018 103/RB CHUDRI 132 36.1 37.5 39.0 40.6 42.2 43.9 45.6 47.7 49.8 53.1 57.0

31. 1010 126 S.B SARGO 132 34.5 35.9 37.4 38.9 40.4 42.1 43.8 45.7 47.8 50.8 54.6

32. 1963 132KV KOT SHA 132 0.0 0.0 8.7 9.1 9.6 10.0 10.5 11.1 11.7 12.4 13.3

33. 1957 132KV RAJANA 132 0.0 0.0 0.0 0.0 0.0 0.0 24.1 25.4 26.8 28.6 30.8

34. 420 220KV JARANWA 132 55.2 58.1 61.2 64.5 67.9 71.4 75.2 79.3 83.9 89.6 96.8

35. 873 220KV LUDEWAL 132 8.3 8.8 9.2 9.7 10.1 10.6 11.2 11.8 12.4 13.2 14.3

36. 790 220KV SUMMAND 132 21.6 22.9 24.2 25.5 26.9 28.4 30.0 31.7 33.6 36.1 39.2

37. 915 A.A. SPINNING 132 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9

38. 704 A.E.C. CHASHM 132 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0

39. 475 AGRI UNIVERSI 132 136.7 142.9 88.6 50.5 54.0 57.6 61.5 65.4 69.9 75.1 81.3

40. 862 BANDALA 132 59.0 61.6 64.2 36.3 38.2 40.0 42.0 44.3 46.8 50.2 54.4

41. 759 BHAKKAR 132 59.1 63.0 67.0 71.4 75.9 80.7 76.0 81.2 87.1 94.0 102.7

42. 243 BHALWAL 132 45.5 47.7 49.9 52.3 41.8 43.9 46.2 48.7 51.5 55.1 59.6

43. 16 BHAMB 132 57.0 62.3 68.0 73.7 79.9 86.7 93.5 101.1 110.1 120.4 132.6

44. 1065 BHERA INDUSTR 132 10.8 11.8 12.8 13.9 15.0 16.2 17.4 18.8 20.2 22.0 24.1

45. 595 CHAK JHUMRA 132 49.8 52.2 54.6 57.2 59.9 62.6 65.5 68.9 72.6 77.5 83.7

46. 641 CHINIOT 132 88.1 94.2 86.4 92.4 75.4 70.6 75.1 80.1 85.5 92.2 100.3

47. 28 CHINIOT ROAD 132 109.8 114.7 119.8 125.2 130.8 136.7 142.9 150.1 157.9 168.6 181.8

48. 458 DAUD KHEL 132 13.7 14.6 15.5 16.6 17.6 18.8 19.9 21.3 22.8 24.6 26.9

49. 1874 DAUD KHEL CEM 132 61.8 61.8 61.8 61.8 61.8 61.8 61.8 61.8 61.8 61.8 61.8

50. 618 FACTORY AREA 132 103.6 108.8 114.2 119.9 113.9 119.7 125.9 132.5 139.8 148.9 160.0 43

FESCO

P O W E R M A R K E T S U R V E Y

: LOAD CENTRE SUMMARY MAXIMUM DEMAND (MW) OF GRIDSTATIONS DISCO: FESCO ------|GRID| NAME OF | |______Y____E____A____R______| |NO. | GRIDSTATION |KV | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | ------51. 1998 FDA CITY 132 0.0 0.0 0.0 0.0 3.4 6.8 10.3 13.7 17.1 20.5 23.9

52. 1969 FIEDMC M3 IC 132 0.0 0.0 23.8 47.5 95.0 142.5 190.0 285.0 380.0 475.0 475.0

53. 1015 FLYING CEMENT 132 21.7 21.7 21.7 21.7 21.7 21.7 21.7 21.7 21.7 21.7 21.7

54. 1079 GARH FATEH SH 132 3.1 6.2 9.5 13.1 16.8 20.8 25.1 29.6 34.4 39.6 45.4

55. 47 GOJRA 132 83.7 88.4 93.2 80.1 84.7 89.4 94.5 100.2 106.5 114.4 124.2

56. 674 GROAT 132 29.6 29.6 29.6 29.6 29.6 29.6 29.6 29.6 29.6 29.6 29.6

57. 61 HAVELI B.SHAH 132 25.6 27.4 29.3 31.4 33.5 35.8 38.2 40.8 43.8 47.3 51.5

58. 585 HEAD FAQIRIAN 132 40.2 42.0 43.7 45.6 47.5 49.6 51.7 54.1 56.7 60.1 64.6

59. 824 INDUSTRIAL-ES 132 50.9 53.3 55.8 58.4 61.2 64.0 66.9 70.4 74.3 79.5 85.8

60. 739 J.K.TECH MILL 132 11.5 11.5 11.5 11.5 11.5 11.5 11.5 11.5 11.5 11.5 11.5

61. 73 JARANWALA 132 81.4 86.3 71.0 75.0 59.9 63.5 67.4 71.8 76.9 83.1 90.8

62. 79 JHANG ROAD 132 122.1 127.6 133.4 139.5 128.0 119.0 124.7 130.9 137.7 146.2 156.9

63. 78 JHANG-1 132 87.4 92.2 97.3 97.5 96.4 101.8 85.9 91.2 97.1 104.2 112.9

64. 856 JHANG-2 132 41.7 43.6 45.7 47.8 50.0 52.4 54.8 57.5 60.4 64.1 68.6

65. 76 JOHARABAD 132 73.8 77.4 81.1 85.1 89.1 86.7 90.9 95.6 100.8 107.3 115.7

66. 1021 KAMAL PUR 132 22.5 23.6 24.6 25.8 27.1 28.4 29.8 31.4 33.1 35.5 38.4

67. 93 KAMALIA 132 64.6 68.4 72.4 76.6 81.0 85.6 90.5 95.8 101.6 108.4 116.8

68. 1070 KHADAM STEEL 132 17.1 17.1 17.1 17.1 17.1 17.1 17.1 17.1 17.1 17.1 17.1

69. 108 KHEWA 132 31.1 34.2 37.5 41.1 44.8 48.7 53.0 57.8 63.3 69.3 76.4

70. 673 KHURRIANWALA 132 66.0 68.8 71.7 59.7 62.3 65.0 67.9 71.1 74.7 79.8 86.0

71. 908 KIRANA 132 48.2 50.4 52.7 55.2 54.2 56.7 59.4 62.4 65.7 69.9 75.4

72. 115 KUD LATHI 132 31.0 32.3 33.7 35.2 36.8 38.4 40.1 42.0 44.1 46.7 50.1

73. 976 LALIAN 132 51.3 54.4 42.3 45.0 47.8 50.8 53.9 57.3 61.1 65.4 70.8

74. 1982 LUNDIANWALA ( 132 0.0 0.0 20.4 21.9 23.5 25.1 26.8 28.8 30.8 33.1 35.9

75. 649 M.T.M. MILLS 132 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 44

FESCO

P O W E R M A R K E T S U R V E Y

: LOAD CENTRE SUMMARY MAXIMUM DEMAND (MW) OF GRIDSTATIONS DISCO: FESCO ------|GRID| NAME OF | |______Y____E____A____R______| |NO. | GRIDSTATION |KV | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | ------76. 421 MANJALA BAGH 132 35.0 37.0 39.1 30.0 31.6 33.2 35.0 37.0 39.1 41.6 44.6

77. 793 MARI INDUS 132 3.4 3.6 3.8 4.1 4.3 4.6 4.9 5.2 5.6 6.1 6.6

78. 134 MIANWALI 132 74.5 80.0 85.7 91.9 98.4 105.2 112.5 120.3 129.1 139.3 151.7

79. 1077 MILLAT ROAD 132 13.3 14.5 15.7 17.1 18.5 19.9 21.5 23.2 25.0 27.3 30.0

80. 331 MURID WALA 132 50.6 53.4 56.4 46.6 49.3 52.2 34.8 37.0 39.4 42.3 45.8

81. 143 NARWALA ROAD 132 100.2 105.6 111.1 105.2 97.5 82.8 86.6 90.7 95.3 101.3 108.6

82. 853 NISHATABAD 132 68.5 72.1 52.7 46.9 49.6 52.3 55.3 58.6 62.4 67.0 72.8

83. 597 NOOR PUR SETH 132 4.3 4.7 5.0 5.4 5.8 6.3 6.7 7.2 7.8 8.6 9.4

84. 431 OLD THERMAL 132 113.7 119.5 119.3 102.1 107.6 113.5 119.6 126.1 133.4 142.3 153.5

85. 779 PAEC CHASHMA 132 22.8 22.8 22.8 22.8 22.8 22.8 22.8 22.8 22.8 22.8 22.8

86. 983 PAEC-C-11 132 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6

87. 703 PIONEER CEMEN 132 33.5 33.5 33.5 33.5 33.5 33.5 33.5 33.5 33.5 33.5 33.5

88. 160 PIPLAN 132 32.5 34.6 36.8 39.2 41.6 44.2 46.9 49.9 53.4 57.6 63.0

89. 948 PIR MAHAL 132 53.6 58.0 62.5 67.4 72.5 77.9 62.7 68.0 74.0 80.8 89.0

90. 598 QUAID ABAD 132 24.9 26.4 27.9 29.6 31.3 33.1 35.0 37.1 39.5 42.4 46.0

91. 701 RAFHAN 132 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5

92. 890 REFHAN MAIZE 132 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5 9.5

93. 523 S.PUR NOON 132 13.3 14.6 16.1 17.6 19.2 20.9 17.4 19.2 21.3 23.7 26.7

94. 984 SAMUNDRI 132 46.1 49.1 52.2 55.6 59.1 62.8 66.7 71.2 76.4 82.7 90.5

95. 205 SAMUNDRI ROAD 132 110.7 115.8 121.1 126.7 122.9 128.6 134.5 141.0 148.2 157.4 169.1

96. 524 SAR-LUDEWALA 132 35.3 37.1 38.9 40.8 42.7 15.2 15.9 16.8 17.7 18.9 20.4

97. 363 SARGODHA 132 78.0 81.6 85.4 89.3 75.8 79.5 83.4 87.8 92.6 98.6 106.3

98. 947 SATIANA 132 28.0 29.5 31.0 32.5 34.2 35.9 37.7 39.8 42.1 45.0 48.7

99. 1012 SATIANA ROAD 132 38.5 40.7 43.1 45.7 48.3 51.1 54.0 57.4 61.3 66.1 72.2

100. 867 SCARP COLONY 132 44.4 46.4 48.5 50.8 26.0 27.4 29.0 30.7 32.7 35.2 38.4 45

FESCO

P O W E R M A R K E T S U R V E Y

: LOAD CENTRE SUMMARY MAXIMUM DEMAND (MW) OF GRIDSTATIONS DISCO: FESCO ------|GRID| NAME OF | |______Y____E____A____R______| |NO. | GRIDSTATION |KV | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | ------101. 957 SHAH PUR 132 28.3 30.2 32.1 34.1 36.3 38.5 29.8 32.0 34.6 37.6 41.4

102. 192 SHAHKOT 132 17.0 17.6 18.2 18.9 19.5 20.2 20.9 21.8 22.6 24.0 25.7

103. 648 SITARA CHEMIC 132 27.6 27.6 27.6 27.6 27.6 27.6 27.6 27.6 27.6 27.6 27.6

104. 1013 SITARA ENERGY 132 50.8 52.8 54.9 57.0 59.2 61.6 63.9 66.8 69.7 74.1 79.5

105. 918 T.T.SINGH 132 49.7 52.4 55.3 58.3 61.5 64.8 68.3 72.2 76.5 81.9 88.7

106. 601 TALIB WALA 132 38.3 40.2 42.1 44.2 46.4 48.6 51.0 53.6 56.5 60.2 64.9

107. 459 TANDLIAN WALA 132 51.6 57.2 63.1 69.4 76.0 83.0 90.5 98.7 108.2 118.9 131.6

108. 953 THEKRIWALA 132 41.2 43.4 45.7 48.1 50.5 38.1 40.2 42.7 45.5 49.0 53.3

109. 995 VAC 132 4.8 5.1 5.4 5.7 6.0 6.4 6.7 7.1 7.6 8.2 9.0

110. 581 WAN BUCHRAN 132 24.9 26.5 28.3 30.2 32.2 34.3 36.5 38.9 41.7 44.8 48.7

111. 442 18-HAZARI 66 23.7 25.1 17.9 19.0 20.1 21.4 22.7 24.2 26.0 28.1 30.7

112. 226 ADHI KOT 66 13.8 14.8 15.7 16.8 17.9 19.0 20.2 21.5 23.1 25.0 27.4

113. 227 AHMAD PUR SIA 66 19.7 21.0 22.4 23.8 25.3 26.9 28.5 30.4 32.6 35.2 38.5

114. 231 ASHIANA MILL 66 3.8 3.8 3.8 3.8 3.8 3.8 3.8 3.8 3.8 3.8 3.8

115. 526 BARANA 66 25.3 26.6 27.9 29.3 30.7 32.2 33.8 35.6 37.6 40.1 43.2

116. 525 BEHAL 66 15.5 16.4 17.3 18.2 19.2 20.2 21.3 22.5 23.9 25.5 27.5

117. 242 BHABRA 66 24.7 25.9 27.2 28.5 25.3 26.6 27.9 29.4 31.1 33.1 35.7

118. 439 BHAKKAR 66 6.0 6.5 7.1 7.6 8.2 8.8 9.5 10.3 11.1 12.0 13.1

119. 244 BHAWANA 66 39.6 42.7 45.9 49.3 52.9 49.5 53.1 57.2 61.8 67.0 73.2

120. 250 CHASHMA 66 12.4 12.4 12.5 12.5 12.5 12.6 12.6 12.7 12.7 12.8 12.9

121. 255 CHUTIANA 66 11.9 12.8 13.7 14.6 15.7 16.7 17.8 19.1 20.5 22.2 24.3

122. 275 FAZIL 66 13.2 13.9 14.6 15.3 16.0 16.8 17.6 18.5 19.5 20.8 22.4

123. 686 HYDER ABAD TH 66 4.1 4.5 5.0 5.4 5.9 6.4 7.0 7.6 8.3 9.1 10.0

124. 422 JAHANIAN SHAH 66 8.8 9.3 9.7 10.2 10.7 11.2 11.7 12.3 12.9 13.7 14.7

125. 298 KALA BAGH 66 13.7 14.8 16.0 17.3 18.6 20.0 21.5 23.1 25.0 27.1 29.7 46

FESCO

P O W E R M A R K E T S U R V E Y

: LOAD CENTRE SUMMARY MAXIMUM DEMAND (MW) OF GRIDSTATIONS DISCO: FESCO ------|GRID| NAME OF | |______Y____E____A____R______| |NO. | GRIDSTATION |KV | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | ------126. 352 MAKAR WAL 66 10.7 11.5 12.5 13.4 14.5 15.6 16.7 18.0 19.4 21.1 23.0

127. 322 MANKERA 66 11.6 12.4 13.1 14.0 14.8 15.7 13.3 14.1 15.2 16.4 17.9

128. 441 MEHMOOD KOT 66 14.3 15.4 16.6 17.8 19.2 20.5 22.0 23.6 25.5 27.8 30.6

129. 334 NIA LAHORE 66 29.8 31.6 33.5 35.6 37.7 40.0 42.3 45.1 48.2 51.9 56.4

130. 423 NUSHERA SAKES 66 12.5 13.4 14.4 15.4 16.5 17.7 18.9 20.2 21.7 23.6 25.8

131. 339 OLD THERMAL 66 13.9 14.6 13.3 14.0 14.7 15.4 16.1 16.9 17.8 18.9 20.3

132. 425 PATHAN KOT 66 36.2 39.1 42.1 45.4 44.5 47.7 51.1 54.9 59.3 64.5 70.8

133. 333 RAKH DAGRAN 66 22.2 23.3 24.5 25.6 26.9 17.8 18.7 16.2 17.1 18.3 19.8

134. 371 SHAMAS 66 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9

135. 373 SHOR KOT CITY 66 28.0 29.6 31.3 33.1 34.9 36.9 38.9 41.3 44.0 47.2 51.3

136. 395 TRAG 66 18.5 19.5 20.6 21.7 22.8 24.0 25.3 26.8 28.4 30.3 32.7

------Total L.C. 3790.7 3992.0 4225.3 4472.0 4754.4 5049.6 5356.9 5742.2 6158.3 6648.8 7138.1

47

FESCO Table 1- 28: Category-wise Maximum Demand (MW) of Substations P O W E R M A R K E T S U R V E Y

CATEGORY-WISE GRIDSTATION LOAD FOR DISCO

DISCO: FESCO YEAR :2023-24 ------|SR GRID NAME OF | | | PUBLIC | SMALL | M & L | TUBE WELLS | | TOTAL OF | POWER FACTOR(%) | |No.NUMBER GRID STATION | DOMESTIC | COMMERCIAL | LIGHTING | INDUSTRIES | INDUSTRIES | PRIVATE | PUBLIC | TRACTION | GRIDSTATION | REACT-POWER(Mvar)| ------1. 2211 132kV Chak 279 FSD GWh 119.46 8.92 0.03 8.92 21.79 0.41 0.00 0.00 159.53 0.89 MW 26.58 2.02 0.02 3.80 9.18 0.11 0.00 0.00 39.62 20.00 2. 2217 132kV Jhawarian GWh 44.37 4.24 0.01 1.72 2.12 3.23 0.00 0.00 55.69 0.89 MW 17.03 1.83 0.00 0.73 1.67 0.86 0.00 0.00 19.91 10.00 3. 2216 132kV Sidhar By Pas GWh 9.00 1.62 0.00 4.07 117.21 0.02 0.00 0.00 131.92 0.89 MW 2.16 0.41 0.00 1.74 31.97 0.00 0.00 0.00 33.64 17.00 4. 2208 132kV 208 RB (P) GWh 60.50 5.81 0.47 0.96 4.75 0.04 0.00 0.00 72.53 0.90 MW 15.01 1.66 0.27 0.41 3.29 0.01 0.00 0.00 19.62 10.00 5. 2205 132kV ADHA GWh 64.76 3.87 0.04 1.89 6.57 27.19 0.00 0.00 104.33 0.84 MW 20.24 1.66 0.02 0.81 5.75 7.24 0.00 0.00 32.55 21.00 6. 2201 132kV ALLIED FSD (P) GWh 101.85 52.61 0.66 12.32 149.36 0.33 0.00 0.00 317.14 0.87 MW 22.36 11.78 0.38 5.25 50.05 0.09 0.00 0.00 85.41 48.00 7. 1991 132kV AMIN PUR ROAD GWh 80.48 12.89 0.00 3.02 13.98 59.76 0.00 0.00 170.13 0.84 MW 20.66 2.95 0.00 1.29 4.27 15.92 0.00 0.00 42.07 27.00 8. 2209 132kV AWAGAT (P) GWh 89.54 7.40 0.06 3.42 117.29 2.62 0.00 0.00 220.32 0.88 MW 24.09 2.08 0.03 1.46 39.01 0.70 0.00 0.00 60.63 33.00 9. 2207 132kV BANDALA-II (P) GWh 20.71 3.29 0.00 0.53 191.54 0.40 0.00 0.00 216.47 0.89 MW 8.03 1.16 0.00 0.23 58.49 0.11 0.00 0.00 62.30 32.00 10. 1993 132kV BHAKKAR-II DAR GWh 27.27 4.25 0.04 1.22 0.79 2.01 0.00 0.00 35.59 0.89 MW 10.74 2.31 0.02 0.52 1.06 0.54 0.00 0.00 13.67 7.00 11. 2220 132kV Bagh TT Singh GWh 44.68 3.57 0.02 1.72 5.41 46.42 0.00 0.00 101.82 0.83 MW 10.00 0.87 0.01 0.73 4.29 12.36 0.00 0.00 26.85 18.00 12. 2214 132kV Bukharian GWh 24.35 4.88 0.16 1.60 1.32 11.00 0.00 0.00 43.31 0.84 MW 6.78 1.43 0.09 0.68 1.60 2.93 0.00 0.00 12.16 8.00 13. 1988 131kV CHENAB NAGAR ( GWh 77.59 15.00 0.07 1.61 7.21 27.18 0.00 0.00 128.65 0.84 MW 29.36 5.23 0.04 0.69 8.71 7.24 0.00 0.00 46.15 30.00 14. 1985 132kV CHINIOT-II (P) GWh 74.45 3.87 0.00 0.94 9.69 50.45 0.00 0.00 139.40 0.84 MW 20.73 1.13 0.00 0.40 7.32 13.44 0.00 0.00 38.72 25.00 15. 2210 132kV College Road F GWh 49.71 5.77 0.06 11.81 34.97 0.23 0.00 0.00 102.55 0.86 MW 11.87 1.62 0.03 5.03 10.29 0.06 0.00 0.00 27.46 16.00 16. 2203 132kV GULISTAN COLON GWh 27.83 2.49 0.00 4.13 7.14 0.02 0.00 0.00 41.61 0.85 MW 6.23 0.63 0.00 1.76 3.45 0.01 0.00 0.00 11.47 7.00 17. 2212 132kV Gojra Road Jha GWh 12.07 1.33 0.21 0.76 4.96 0.06 0.00 0.00 19.38 0.86 MW 2.70 0.32 0.12 0.32 5.36 0.02 0.00 0.00 8.40 5.00 18. 1990 132kV KOT MOMIN (P) GWh 66.06 7.16 0.14 3.32 5.70 1.54 0.00 0.00 83.92 0.89 MW 22.52 2.62 0.08 1.42 5.98 0.41 0.00 0.00 29.72 15.00 19. 2215 132kV Katha Road Khu GWh 16.14 1.11 0.00 0.32 0.78 11.12 0.00 0.00 29.46 0.83 MW 5.26 0.42 0.00 0.14 0.86 2.96 0.00 0.00 8.67 6.00 20. 1989 132kV MAMU KANJAN (P GWh 49.31 2.95 0.01 1.78 1.13 70.95 0.00 0.00 126.13 0.82 MW 18.39 1.35 0.00 0.76 1.20 18.90 0.00 0.00 36.53 26.00 21. 1997 132kV SARGODHA-III N GWh 70.97 7.94 0.05 1.43 9.69 0.66 0.00 0.00 90.75 0.90 MW 21.90 3.02 0.03 0.61 18.13 0.18 0.00 0.00 39.48 19.00 22. 1992 132kV SPS COLONY (P) GWh 90.61 25.62 0.25 4.02 63.20 0.65 0.00 0.00 184.34 0.87 MW 20.28 6.50 0.14 1.71 20.61 0.17 0.00 0.00 46.95 27.00 23. 2218 132kV Sandhilian Wal GWh 33.64 2.39 0.00 1.21 3.08 28.01 0.00 0.00 68.31 0.83 MW 11.29 0.91 0.00 0.51 3.57 7.46 0.00 0.00 21.37 14.00 24. 2213 132kV Shaheen Abad S GWh 76.47 5.17 0.00 1.65 8.22 0.67 0.00 0.00 92.17 0.90 MW 20.85 1.69 0.00 0.70 7.43 0.18 0.00 0.00 27.76 13.00 25. 2219 132kV Srai Mohajir GWh 33.63 2.03 0.00 0.39 3.94 13.79 0.00 0.00 53.78 0.84 MW 13.49 0.99 0.00 0.17 4.15 3.67 0.00 0.00 20.22 13.00 48

FESCO P O W E R M A R K E T S U R V E Y

CATEGORY-WISE GRIDSTATION LOAD FOR DISCO

DISCO: FESCO YEAR :2023-24 ------|SR GRID NAME OF | | | PUBLIC | SMALL | M & L | TUBE WELLS | | TOTAL OF | POWER FACTOR(%) | |No.NUMBER GRID STATION | DOMESTIC | COMMERCIAL | LIGHTING | INDUSTRIES | INDUSTRIES | PRIVATE | PUBLIC | TRACTION | GRIDSTATION | REACT-POWER(Mvar)| ------26. 2206 132kV TARIQABAD (P) GWh 35.53 4.37 0.26 2.46 2.33 0.00 0.00 0.00 44.95 0.89 MW 8.82 1.25 0.15 1.05 1.30 0.00 0.00 0.00 11.93 6.00 27. 1966 132kV USMAN-E-GHANI GWh 133.00 8.89 0.12 52.37 82.50 0.07 0.00 0.00 276.96 0.86 MW 29.20 1.99 0.07 22.32 27.03 0.02 0.00 0.00 76.59 45.00 28. 1018 132kV 103/RB CHUDRIWA GWh 23.17 0.60 0.00 0.15 271.41 0.00 0.00 0.00 295.33 0.90 MW 5.58 0.16 0.00 0.06 57.56 0.00 0.00 0.00 57.03 28.00 29. 1010 132kV 126 S.B SARGODH GWh 35.69 2.50 0.00 1.77 114.68 1.90 0.00 0.00 156.54 0.89 MW 9.68 0.90 0.00 0.72 48.90 0.48 0.00 0.00 54.61 28.00 30. 1963 132kV 132KV KOT SHAHK GWh 29.37 2.69 0.00 0.74 1.08 6.96 0.00 0.00 40.85 0.88 MW 9.58 1.34 0.00 0.32 1.71 1.85 0.00 0.00 13.32 7.00 31. 1957 132kV 132KV RAJANA (P GWh 44.36 7.08 0.00 0.91 33.54 19.38 0.00 0.00 105.27 0.86 MW 16.33 3.23 0.00 0.39 9.09 5.16 0.00 0.00 30.79 18.00 32. 442 66kV 18-HAZARI GWh 60.14 4.23 0.00 1.14 2.99 18.95 0.00 0.00 87.45 0.84 MW 18.63 1.99 0.00 0.46 8.28 4.80 0.00 0.00 30.75 20.00 33. 420 132kV 220KV JARANWALA GWh 234.91 40.60 0.79 12.05 132.44 0.42 0.00 0.00 421.21 0.86 MW 55.38 13.34 0.43 4.88 27.73 0.11 0.00 0.00 96.77 57.00 34. 873 132kV 220KV LUDEWALA GWh 33.99 4.15 0.02 0.74 3.95 0.10 0.00 0.00 42.96 0.90 MW 10.53 1.80 0.01 0.30 2.34 0.03 0.00 0.00 14.26 7.00 35. 790 132kV 220KV SUMMANDRI GWh 114.85 7.67 0.02 4.18 12.24 0.73 0.00 0.00 139.68 0.90 MW 24.91 1.85 0.01 1.69 12.64 0.19 0.00 0.00 39.22 19.00 36. 915 132kV A.A. SPINNING M GWh 0.00 0.00 0.00 0.00 44.48 0.00 0.00 0.00 44.48 0.90 MW 0.00 0.00 0.00 0.00 7.92 0.00 0.00 0.00 7.92 4.00 37. 704 132kV A.E.C. CHASHMA GWh 0.00 0.00 0.00 0.00 2.24 0.00 0.00 0.00 2.24 0.90 MW 0.00 0.00 0.00 0.00 0.96 0.00 0.00 0.00 0.96 0.00 38. 226 66kV ADHI KOT GWh 69.21 3.62 0.01 0.42 4.08 2.11 0.00 0.00 79.47 0.90 MW 22.08 1.57 0.01 0.17 6.05 0.53 0.00 0.00 27.37 13.00 39. 475 132kV AGRI UNIVERSITY GWh 244.37 47.29 0.08 58.88 109.25 0.30 0.00 0.00 460.15 0.86 MW 50.96 10.06 0.04 23.84 0.65 0.08 0.00 0.00 81.35 48.00 40. 227 66kV AHMAD PUR SIAL GWh 84.02 6.27 0.07 1.23 8.40 4.72 0.00 0.00 104.71 0.89 MW 28.47 2.72 0.04 0.50 9.80 1.19 0.00 0.00 38.46 20.00 41. 231 66kV ASHIANA MILL GWh 0.00 0.00 0.00 0.00 23.32 0.00 0.00 0.00 23.32 0.90 MW 0.00 0.00 0.00 0.00 3.84 0.00 0.00 0.00 3.84 2.00 42. 862 132kV BANDALA GWh 38.15 2.97 0.01 0.56 133.94 0.00 0.00 0.00 175.62 0.89 MW 15.32 1.34 0.00 0.23 43.56 0.00 0.00 0.00 54.41 28.00 43. 526 66kV BARANA GWh 69.84 7.32 0.01 1.96 5.06 30.48 0.00 0.00 114.67 0.84 MW 30.30 3.97 0.00 0.79 5.17 7.71 0.00 0.00 43.16 28.00 44. 525 66kV BEHAL GWh 39.39 3.75 0.01 1.80 2.44 16.34 0.00 0.00 63.72 0.84 MW 21.36 2.71 0.01 0.73 1.63 4.13 0.00 0.00 27.51 18.00 45. 242 66kV BHABRA GWh 38.17 3.79 0.00 1.59 4.95 12.85 0.00 0.00 61.36 0.84 MW 27.60 2.74 0.00 0.65 5.45 3.25 0.00 0.00 35.72 23.00 46. 439 66kV BHAKKAR GWh 15.94 1.13 0.00 0.66 0.00 16.26 0.00 0.00 33.99 0.83 MW 9.10 0.86 0.00 0.28 0.00 4.33 0.00 0.00 13.11 9.00 47. 759 132kV BHAKKAR GWh 223.16 23.08 0.32 5.12 12.14 45.33 0.00 0.00 309.15 0.88 MW 80.67 10.01 0.17 2.07 9.66 11.47 0.00 0.00 102.65 55.00 48. 243 132kV BHALWAL GWh 136.85 18.42 0.03 6.83 43.21 2.41 0.00 0.00 207.76 0.86 MW 35.34 5.71 0.02 2.77 21.78 0.61 0.00 0.00 59.59 35.00 49. 16 132kV BHAMB GWh 168.52 14.14 0.00 4.45 46.30 186.37 0.00 0.00 419.78 0.83 MW 76.15 6.13 0.00 1.80 16.08 47.16 0.00 0.00 132.60 89.00 50. 244 66kV BHAWANA GWh 76.88 7.14 0.00 1.61 5.80 115.90 0.00 0.00 207.33 0.82 MW 41.69 3.87 0.00 0.65 5.80 29.33 0.00 0.00 73.21 51.00

49

FESCO P O W E R M A R K E T S U R V E Y

CATEGORY-WISE GRIDSTATION LOAD FOR DISCO

DISCO: FESCO YEAR :2023-24 ------|SR GRID NAME OF | | | PUBLIC | SMALL | M & L | TUBE WELLS | | TOTAL OF | POWER FACTOR(%) | |No.NUMBER GRID STATION | DOMESTIC | COMMERCIAL | LIGHTING | INDUSTRIES | INDUSTRIES | PRIVATE | PUBLIC | TRACTION | GRIDSTATION | REACT-POWER(Mvar)| ------51. 1065 132kV BHERA INDUSTRIA GWh 46.84 7.67 0.03 0.89 13.58 0.51 0.00 0.00 69.52 0.90 MW 16.93 3.33 0.02 0.36 5.99 0.13 0.00 0.00 24.08 12.00 52. 595 132kV CHAK JHUMRA GWh 188.15 10.44 0.09 9.07 83.51 6.54 0.00 0.00 297.80 0.86 MW 40.81 2.52 0.05 3.67 39.41 1.66 0.00 0.00 83.71 50.00 53. 250 66kV CHASHMA GWh 23.97 4.03 0.00 0.41 0.71 0.08 0.00 0.00 29.20 0.90 MW 7.43 1.46 0.00 0.17 3.80 0.02 0.00 0.00 12.87 6.00 54. 641 132kV CHINIOT GWh 143.38 21.04 0.59 7.22 82.43 87.03 0.00 0.00 341.70 0.85 MW 37.93 5.85 0.32 2.92 42.42 22.02 0.00 0.00 100.31 62.00 55. 28 132kV CHINIOT ROAD GWh 231.65 36.39 0.20 18.96 471.44 0.49 0.00 0.00 759.14 0.88 MW 50.24 8.77 0.11 7.68 124.41 0.12 0.00 0.00 181.77 98.00 56. 255 66kV CHUTIANA GWh 117.54 6.62 0.10 2.04 5.16 9.36 0.00 0.00 140.83 0.89 MW 21.25 1.20 0.06 0.83 1.30 2.37 0.00 0.00 24.29 12.00 57. 458 132kV DAUD KHEL GWh 34.36 4.26 0.00 0.33 1.60 6.93 0.00 0.00 47.48 0.88 MW 18.63 2.87 0.00 0.13 6.51 1.75 0.00 0.00 26.91 15.00 58. 1874 132kV DAUD KHEL CEMEN GWh 0.00 0.00 0.00 0.00 212.13 0.00 0.00 0.00 212.13 0.90 MW 0.00 0.00 0.00 0.00 61.77 0.00 0.00 0.00 61.77 30.00 59. 618 132kV FACTORY AREA GWh 281.95 113.68 1.11 30.25 122.87 0.38 0.00 0.00 550.23 0.86 MW 67.95 35.22 0.60 12.25 52.33 0.10 0.00 0.00 160.03 95.00 60. 275 66kV FAZIL GWh 46.73 5.34 0.00 0.48 2.31 5.36 0.00 0.00 60.22 0.89 MW 17.47 3.41 0.00 0.19 2.43 1.36 0.00 0.00 22.38 11.00 61. 1998 132kV FDA CITY GWh 55.19 0.00 0.00 0.00 0.00 0.00 0.00 0.00 55.19 0.90 MW 23.94 0.00 0.00 0.00 0.00 0.00 0.00 0.00 23.94 12.00 62. 1969 132kV FIEDMC M3 IC GWh 0.00 0.00 0.00 0.00 2190.00 0.00 0.00 0.00 2190.00 0.90 MW 0.00 0.00 0.00 0.00 475.00 0.00 0.00 0.00 475.00 230.00 63. 1015 132kV FLYING CEMENT C GWh 0.00 0.00 0.00 0.00 103.80 0.00 0.00 0.00 103.80 0.90 MW 0.00 0.00 0.00 0.00 21.70 0.00 0.00 0.00 21.70 11.00 64. 1079 132kV GARH FATEH SHAH GWh 22.12 0.61 0.00 0.45 1.60 132.44 0.00 0.00 157.22 0.77 MW 15.99 0.42 0.00 0.18 0.34 33.51 0.00 0.00 45.40 38.00 65. 47 132kV GOJRA GWh 245.12 25.15 0.18 12.23 114.95 26.14 0.00 0.00 423.77 0.86 MW 75.95 10.91 0.10 4.95 39.51 6.62 0.00 0.00 124.23 74.00 66. 674 132kV GROAT GWh 0.00 0.00 0.00 0.00 180.01 0.00 0.00 0.00 180.01 0.90 MW 0.00 0.00 0.00 0.00 29.59 0.00 0.00 0.00 29.59 14.00 67. 61 132kV HAVELI B.SHAH GWh 72.46 9.52 0.00 1.80 17.01 49.63 0.00 0.00 150.43 0.84 MW 31.43 5.16 0.00 0.73 7.36 12.56 0.00 0.00 51.52 33.00 68. 585 132kV HEAD FAQIRIAN GWh 88.73 9.10 0.01 2.53 3.99 3.46 0.00 0.00 107.81 0.89 MW 41.84 4.93 0.00 1.02 23.12 0.87 0.00 0.00 64.62 33.00 69. 686 66kV HYDER ABAD THAL GWh 20.96 2.65 0.00 0.12 0.82 8.62 0.00 0.00 33.16 0.84 MW 5.68 1.44 0.00 0.05 1.77 2.18 0.00 0.00 10.00 6.00 70. 824 132kV INDUSTRIAL-ESTA GWh 107.97 6.05 0.08 5.58 191.87 19.16 0.00 0.00 330.71 0.88 MW 23.42 1.46 0.04 2.26 58.32 4.85 0.00 0.00 85.83 46.00 71. 739 132kV J.K.TECH MILLS. GWh 0.00 0.00 0.00 0.00 60.07 0.00 0.00 0.00 60.07 0.90 MW 0.00 0.00 0.00 0.00 11.45 0.00 0.00 0.00 11.45 6.00 72. 422 66kV JAHANIAN SHAH GWh 25.10 2.02 0.00 0.95 2.07 8.44 0.00 0.00 38.58 0.84 MW 10.47 1.00 0.00 0.38 2.39 2.14 0.00 0.00 14.74 10.00 73. 73 132kV JARANWALA GWh 213.02 19.10 0.26 5.66 64.42 32.56 0.00 0.00 335.01 0.85 MW 56.34 5.05 0.14 2.29 28.84 8.24 0.00 0.00 90.81 56.00 74. 79 132kV JHANG ROAD GWh 344.08 44.02 0.27 77.02 310.81 5.37 0.00 0.00 781.56 0.86 MW 73.17 9.55 0.14 31.18 49.79 1.36 0.00 0.00 156.93 93.00 75. 78 132kV JHANG-1 GWh 245.38 44.16 0.93 19.45 80.77 58.02 0.00 0.00 448.71 0.85 MW 52.18 10.19 0.50 7.88 33.45 14.68 0.00 0.00 112.93 70.00

50

FESCO P O W E R M A R K E T S U R V E Y

CATEGORY-WISE GRIDSTATION LOAD FOR DISCO

DISCO: FESCO YEAR :2023-24 ------|SR GRID NAME OF | | | PUBLIC | SMALL | M & L | TUBE WELLS | | TOTAL OF | POWER FACTOR(%) | |No.NUMBER GRID STATION | DOMESTIC | COMMERCIAL | LIGHTING | INDUSTRIES | INDUSTRIES | PRIVATE | PUBLIC | TRACTION | GRIDSTATION | REACT-POWER(Mvar)| ------76. 856 132kV JHANG-2 GWh 100.57 7.23 0.17 16.89 73.27 42.09 0.00 0.00 240.21 0.85 MW 27.27 2.61 0.09 6.84 24.80 10.65 0.00 0.00 68.64 43.00 77. 76 132kV JOHARABAD GWh 239.00 28.06 0.12 4.12 135.52 28.23 0.00 0.00 435.04 0.86 MW 74.05 10.14 0.07 1.67 35.51 7.14 0.00 0.00 115.72 69.00 78. 298 66kV KALA BAGH GWh 39.84 2.86 0.03 0.39 2.04 34.09 0.00 0.00 79.25 0.83 MW 20.58 2.07 0.02 0.16 1.57 8.63 0.00 0.00 29.71 20.00 79. 1021 132kV KAMAL PUR GWh 15.98 0.98 0.00 0.49 116.33 20.60 0.00 0.00 154.38 0.88 MW 5.78 0.53 0.00 0.20 30.94 5.21 0.00 0.00 38.39 21.00 80. 93 132kV KAMALIA GWh 155.47 16.02 0.14 14.38 22.19 160.67 0.00 0.00 368.87 0.83 MW 60.21 7.55 0.08 5.82 15.42 40.66 0.00 0.00 116.77 78.00 81. 1070 132kV KHADAM STEEL GWh 0.00 0.00 0.00 0.00 24.27 0.00 0.00 0.00 24.27 0.90 MW 0.00 0.00 0.00 0.00 17.15 0.00 0.00 0.00 17.15 8.00 82. 108 132kV KHEWA GWh 59.08 3.67 0.00 2.56 2.89 168.32 0.00 0.00 236.51 0.81 MW 35.60 2.65 0.00 1.03 2.97 42.59 0.00 0.00 76.35 55.00 83. 673 132kV KHURRIANWALA GWh 55.22 10.48 0.51 2.05 401.91 0.60 0.00 0.00 470.77 0.89 MW 11.09 2.18 0.28 0.83 76.04 0.15 0.00 0.00 86.04 44.00 84. 908 132kV KIRANA GWh 196.05 33.70 0.19 1.57 19.68 0.11 0.00 0.00 251.30 0.90 MW 47.25 10.44 0.10 0.64 25.33 0.03 0.00 0.00 75.40 37.00 85. 115 132kV KUD LATHI GWh 105.19 7.56 0.01 2.81 4.80 22.33 0.00 0.00 142.70 0.88 MW 42.25 3.28 0.01 1.14 3.37 5.65 0.00 0.00 50.12 27.00 86. 976 132kV LALIAN GWh 74.89 6.53 0.05 2.13 17.45 98.72 0.00 0.00 199.77 0.83 MW 40.61 3.54 0.03 0.86 8.68 24.98 0.00 0.00 70.83 48.00 87. 1982 132kV LUNDIANWALA (P) GWh 66.67 1.40 0.00 1.92 2.92 67.93 0.00 0.00 140.85 0.83 MW 18.56 0.39 0.00 0.82 1.98 18.09 0.00 0.00 35.86 24.00 88. 649 132kV M.T.M. MILLS GWh 0.00 0.00 0.00 0.00 31.94 0.00 0.00 0.00 31.94 0.90 MW 0.00 0.00 0.00 0.00 10.03 0.00 0.00 0.00 10.03 5.00 89. 352 66kV MAKAR WAL GWh 19.36 1.06 0.00 0.14 4.37 39.74 0.00 0.00 64.66 0.82 MW 9.54 0.64 0.00 0.06 5.25 10.05 0.00 0.00 22.99 16.00 90. 421 132kV MANJALA BAGH GWh 49.24 4.71 0.00 1.61 8.33 76.50 0.00 0.00 140.39 0.83 MW 17.80 2.04 0.00 0.65 9.76 19.36 0.00 0.00 44.65 30.00 91. 322 66kV MANKERA GWh 23.28 2.93 0.02 0.10 2.97 5.37 0.00 0.00 34.67 0.88 MW 12.62 1.59 0.01 0.04 4.25 1.36 0.00 0.00 17.88 10.00 92. 793 132kV MARI INDUS GWh 16.06 1.40 0.00 0.07 0.23 3.19 0.00 0.00 20.95 0.88 MW 4.35 0.43 0.00 0.03 1.74 0.81 0.00 0.00 6.63 4.00 93. 441 66kV MEHMOOD KOT GWh 90.39 7.93 0.00 1.00 6.69 7.90 0.00 0.00 113.90 0.89 MW 21.78 2.15 0.00 0.40 7.67 2.00 0.00 0.00 30.61 16.00 94. 134 132kV MIANWALI GWh 247.75 24.90 0.40 2.52 7.06 171.89 0.00 0.00 454.54 0.83 MW 86.67 10.80 0.22 1.02 17.46 43.50 0.00 0.00 151.69 102.00 95. 1077 132kV MILLAT ROAD GWh 27.58 2.21 0.00 0.72 22.74 0.04 0.00 0.00 53.29 0.87 MW 11.96 1.60 0.00 0.29 17.77 0.01 0.00 0.00 30.05 17.00 96. 331 132kV MURID WALA GWh 74.86 5.03 0.03 1.58 4.34 49.34 0.00 0.00 135.17 0.83 MW 26.19 2.18 0.01 0.64 9.39 12.48 0.00 0.00 45.81 31.00 97. 143 132kV NARWALA ROAD GWh 151.02 11.68 0.12 49.99 235.44 7.05 0.00 0.00 455.30 0.87 MW 31.50 2.48 0.06 20.24 58.25 1.78 0.00 0.00 108.60 62.00 98. 334 66kV NIA LAHORE GWh 82.73 5.15 0.00 3.76 41.74 50.81 0.00 0.00 184.18 0.85 MW 35.89 2.79 0.00 1.52 9.59 12.86 0.00 0.00 56.39 35.00 99. 853 132kV NISHATABAD GWh 174.91 17.53 0.06 20.64 84.18 0.17 0.00 0.00 297.48 0.86 MW 37.19 4.22 0.03 8.36 26.80 0.04 0.00 0.00 72.82 43.00 100. 597 132kV NOOR PUR SETHI GWh 14.18 1.17 0.00 0.14 9.14 0.37 0.00 0.00 25.01 0.87 MW 6.47 0.67 0.00 0.06 3.19 0.10 0.00 0.00 9.44 5.00

51

FESCO P O W E R M A R K E T S U R V E Y

CATEGORY-WISE GRIDSTATION LOAD FOR DISCO

DISCO: FESCO YEAR :2023-24 ------|SR GRID NAME OF | | | PUBLIC | SMALL | M & L | TUBE WELLS | | TOTAL OF | POWER FACTOR(%) | |No.NUMBER GRID STATION | DOMESTIC | COMMERCIAL | LIGHTING | INDUSTRIES | INDUSTRIES | PRIVATE | PUBLIC | TRACTION | GRIDSTATION | REACT-POWER(Mvar)| ------101. 423 66kV NUSHERA SAKESAR GWh 55.86 4.80 0.00 0.84 0.77 9.89 0.00 0.00 72.16 0.89 MW 20.19 1.74 0.00 0.34 3.94 2.50 0.00 0.00 25.84 13.00 102. 339 66kV OLD THERMAL GWh 31.61 28.01 0.19 0.59 3.81 0.00 0.00 0.00 64.22 0.90 MW 6.86 6.75 0.10 0.24 7.37 0.00 0.00 0.00 20.26 10.00 103. 431 132kV OLD THERMAL GWh 370.92 91.07 0.83 26.29 144.33 0.37 0.00 0.00 633.79 0.86 MW 87.45 24.69 0.45 10.64 38.25 0.09 0.00 0.00 153.49 91.00 104. 779 132kV PAEC CHASHMA (M GWh 0.00 0.00 0.00 0.00 59.56 0.00 0.00 0.00 59.56 0.90 MW 0.00 0.00 0.00 0.00 22.75 0.00 0.00 0.00 22.75 11.00 105. 983 132kV PAEC-C-11 GWh 0.00 0.00 0.00 0.00 0.37 0.00 0.00 0.00 0.37 0.90 MW 0.00 0.00 0.00 0.00 2.63 0.00 0.00 0.00 2.63 1.00 106. 425 66kV PATHAN KOT GWh 159.78 14.49 0.00 3.34 23.95 30.97 0.00 0.00 232.53 0.85 MW 49.51 5.24 0.00 1.35 14.76 7.84 0.00 0.00 70.82 44.00 107. 703 132kV PIONEER CEMENT GWh 0.00 0.00 0.00 0.00 165.78 0.00 0.00 0.00 165.78 0.90 MW 0.00 0.00 0.00 0.00 33.53 0.00 0.00 0.00 33.53 16.00 108. 160 132kV PIPLAN GWh 148.03 11.45 0.09 2.39 16.23 9.15 0.00 0.00 187.34 0.89 MW 45.87 3.55 0.05 0.97 17.21 2.32 0.00 0.00 62.96 32.00 109. 948 132kV PIR MAHAL GWh 170.41 17.80 0.04 4.21 9.99 113.59 0.00 0.00 316.04 0.83 MW 54.35 6.44 0.02 1.70 7.62 28.74 0.00 0.00 88.99 60.00 110. 598 132kV QUAID ABAD GWh 78.84 6.40 0.00 1.73 18.76 41.19 0.00 0.00 146.91 0.84 MW 19.00 1.98 0.00 0.70 18.97 10.42 0.00 0.00 45.97 30.00 111. 701 132kV RAFHAN GWh 0.00 0.00 0.00 0.00 55.39 0.00 0.00 0.00 55.39 0.90 MW 0.00 0.00 0.00 0.00 8.51 0.00 0.00 0.00 8.51 4.00 112. 333 66kV RAKH DAGRAN GWh 42.93 4.57 0.03 0.59 2.28 2.88 0.00 0.00 53.29 0.89 MW 16.05 2.36 0.02 0.24 2.57 0.73 0.00 0.00 19.77 10.00 113. 890 132kV REFHAN MAIZE JR GWh 0.00 0.00 0.00 0.00 60.11 0.00 0.00 0.00 60.11 0.90 MW 0.00 0.00 0.00 0.00 9.48 0.00 0.00 0.00 9.48 5.00 114. 523 132kV S.PUR NOON GWh 59.80 2.50 0.00 0.73 1.55 5.20 0.00 0.00 69.78 0.89 MW 25.94 1.35 0.00 0.30 0.72 1.32 0.00 0.00 26.67 14.00 115. 984 132kV SAMUNDRI GWh 205.22 19.64 0.14 6.57 25.60 8.66 0.00 0.00 265.82 0.89 MW 71.79 7.10 0.07 2.66 16.79 2.19 0.00 0.00 90.54 46.00 116. 205 132kV SAMUNDRI ROAD GWh 377.42 33.99 0.46 53.07 279.43 2.17 0.00 0.00 746.56 0.87 MW 81.86 7.37 0.25 21.49 66.47 0.55 0.00 0.00 169.10 96.00 117. 524 132kV SAR-LUDEWALA GWh 40.86 7.20 0.03 0.73 13.50 3.41 0.00 0.00 65.74 0.86 MW 11.98 2.60 0.01 0.30 6.87 0.86 0.00 0.00 20.36 12.00 118. 363 132kV SARGODHA GWh 229.54 63.45 0.37 5.60 23.06 6.68 0.00 0.00 328.70 0.90 MW 60.71 19.66 0.20 2.27 33.56 1.69 0.00 0.00 106.29 51.00 119. 947 132kV SATIANA GWh 99.14 4.38 0.00 2.45 52.18 9.00 0.00 0.00 167.14 0.86 MW 30.72 1.90 0.00 0.99 18.19 2.28 0.00 0.00 48.67 29.00 120. 1012 132kV SATIANA ROAD GWh 151.33 14.40 0.08 5.84 47.80 0.60 0.00 0.00 220.05 0.90 MW 46.89 6.25 0.04 2.37 24.51 0.15 0.00 0.00 72.18 35.00 121. 867 132kV SCARP COLONY GWh 52.06 6.29 0.01 4.71 163.13 0.02 0.00 0.00 226.22 0.89 MW 12.55 1.70 0.01 1.91 26.45 0.00 0.00 0.00 38.35 20.00 122. 957 132kV SHAH PUR GWh 93.75 4.71 0.10 1.78 8.43 12.09 0.00 0.00 120.86 0.89 MW 31.77 1.70 0.05 0.72 8.68 3.06 0.00 0.00 41.39 21.00 123. 192 132kV SHAHKOT GWh 0.31 0.06 0.00 0.00 130.62 0.00 0.00 0.00 130.99 0.90 MW 0.14 0.03 0.00 0.00 28.36 0.00 0.00 0.00 25.67 12.00 124. 371 66kV SHAMAS GWh 0.00 0.00 0.00 0.00 10.20 0.00 0.00 0.00 10.20 0.90 MW 0.00 0.00 0.00 0.00 2.95 0.00 0.00 0.00 2.95 1.00 125. 373 66kV SHOR KOT CITY GWh 104.34 11.91 0.08 2.71 22.03 21.50 0.00 0.00 162.57 0.85 MW 32.33 5.16 0.05 1.10 12.91 5.44 0.00 0.00 51.29 32.00

52

FESCO P O W E R M A R K E T S U R V E Y

CATEGORY-WISE GRIDSTATION LOAD FOR DISCO

DISCO: FESCO YEAR :2023-24 ------|SR GRID NAME OF | | | PUBLIC | SMALL | M & L | TUBE WELLS | | TOTAL OF | POWER FACTOR(%) | |No.NUMBER GRID STATION | DOMESTIC | COMMERCIAL | LIGHTING | INDUSTRIES | INDUSTRIES | PRIVATE | PUBLIC | TRACTION | GRIDSTATION | REACT-POWER(Mvar)| ------126. 648 132kV SITARA CHEMICAL GWh 0.00 0.00 0.00 0.00 138.86 0.00 0.00 0.00 138.86 0.90 MW 0.00 0.00 0.00 0.00 27.62 0.00 0.00 0.00 27.62 13.00 127. 1013 132kV SITARA ENERGY GWh 40.54 3.43 0.00 1.15 252.50 0.35 0.00 0.00 297.96 0.89 MW 17.58 2.48 0.00 0.47 67.70 0.09 0.00 0.00 79.49 41.00 128. 918 132kV T.T.SINGH GWh 204.12 29.42 0.04 6.97 33.51 16.83 0.00 0.00 290.90 0.89 MW 59.83 10.64 0.02 2.82 21.00 4.26 0.00 0.00 88.71 45.00 129. 601 132kV TALIB WALA GWh 169.42 27.66 0.09 3.33 30.83 1.48 0.00 0.00 232.81 0.90 MW 40.83 7.50 0.05 1.35 18.21 0.37 0.00 0.00 64.90 31.00 130. 459 132kV TANDLIAN WALA GWh 239.22 14.67 0.18 5.29 12.07 168.05 0.00 0.00 439.48 0.83 MW 74.12 5.30 0.10 2.14 14.38 42.52 0.00 0.00 131.64 88.00 131. 953 132kV THEKRIWALA GWh 106.31 11.01 0.00 11.64 100.77 4.36 0.00 0.00 234.09 0.87 MW 25.62 2.98 0.00 4.71 24.75 1.10 0.00 0.00 53.26 30.00 132. 395 66kV TRAG GWh 63.66 4.49 0.00 0.46 1.45 29.51 0.00 0.00 99.57 0.84 MW 24.66 1.95 0.00 0.19 2.04 7.47 0.00 0.00 32.67 21.00 133. 995 132kV VAC GWh 0.00 0.06 0.03 0.03 22.95 0.00 0.00 0.00 23.07 0.90 MW 0.00 0.03 0.02 0.01 9.40 0.00 0.00 0.00 8.99 4.00 134. 581 132kV WAN BUCHRAN GWh 50.26 2.47 0.00 0.57 8.01 72.03 0.00 0.00 133.34 0.83 MW 27.25 1.79 0.00 0.23 6.62 18.23 0.00 0.00 48.70 33.00

======TOTAL OF DISCO : GWh 11294.66 1434.23 12.47 717.05 9434.80 2926.86 0.00 0.00 25820.07 MW 2280.19 317.08 4.63 198.58 1907.62 505.90 0.00 0.00 4835.10

53

FESCO Figure 1- 10: Distribution Network Map

55

FESCO

Disclaimer

All data used in this report are provided by FESCO. Planning Power, NTDC does not own any error responsibility.

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