iesco - NTDC

Transcription

iesco - NTDC

Executive Summary
Executive Summary
Islamabad Electric Supply Company (IESCO) is supplying power to the civil districts of
Islamabad capital, Rawalpindi, Attock, Chawkwal and Jehlum.This Company came into
existence in the year 2001 after unbundling of WAPDA system. Earlier it was known as
Islamabad Area Electricity Board (AEB). Its distribution network in the year 2001 was
comprised of forty six 132 kV, fourteen 66 kV and five 33kV sub-stations and in year 2013-14 it
has sixty eight 132 kV, nine 66 kV and five 33 kV sub-stations.
Peak demand of IESCO in the year 2013-14 was recorded as 1447 MW, energy sale was 8192
GWh and energy purchased was 9048 GWh. The total number of consumers in 2013-14 was
2.379 million out of which 2.01 million were domestic, 0.341 million were commercial and
0.0081 million were agricultural. In the year 2013-14 total sale of IESCO in terms of megawatt
was 1311 MW, for the domestic sector it was 843 MW, for medium & large industries it was 334
MW and for small industries it was 24 MW. The shares of domestic sector and industrial sector
were 60.7% and 24.6% respectively with respect to total energy sale.
This forecast has been computed on the basis of Power Market Survey (PMS) methodology by
the IESCO (PMS) team under the supervision of planning power, (NTDCL). The year 2013-14
has been taken as base year 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 IESCO power market survey team.
Data for the base year has also been adjusted for the estimates of un-served energy (load
shedding) in order to have realistic figures.
Forecast results show that in the years 2017-18 and 2023-24 energy sale will be 10975 GWh and
15364 GWh, peak demand will be 2749 MW and 3758 MW, and energy purchased will be
12099 GWh and 16944 GWh respectively. For the period 2013-14 to 2023-24, annual average
compound growth rate of energy sale, peak demand and energy purchased will be 6.49%, 5.85%
and 6.47% respectively.
To further refine the forecast and making it helpful for planners following additions have been
made in this issue;
 Civil Administrative Division-wise energy and demand forecast
 Civil Administrative District-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, NTDCL firmly believes that the readers’ comments/suggestions on this report
will help in improving energy and demand forecast in future.
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Table of Contents
1
Introduction ........................................................................................................................... 1
2
Historical Supply and Demand Analysis ............................................................................. 3
3
4
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
Power Market Survey Methodology .................................................................................... 6
3.1
Overview ....................................................................................................................................... 6
3.2
Survey Base Data........................................................................................................................... 6
3.3
Input Parameters .......................................................................................................................... 7
3.4
Growth Rates ................................................................................................................................ 7
3.5
Losses ............................................................................................................................................ 8
3.6
Load Factors .................................................................................................................................. 8
3.7
Coincidence Factors ...................................................................................................................... 9
3.8
Forecast Calculations .................................................................................................................... 9
3.9
Energy Calculations ..................................................................................................................... 10
3.10
Peak Demand Calculations.......................................................................................................... 10
3.11
Accumulations............................................................................................................................. 10
PMS Forecast Results .......................................................................................................... 11
4.1
Recorded Forecast (Excluding 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 .............................................................................................. 13
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 .................................................................................................................................... 47
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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: Forecasted Category-wise Sale ................................................................................. 12
Figure 1- 9: Per Capita Consumption ........................................................................................... 13
Figure 1- 10: Distribution Network Map ...................................................................................... 46
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List Of Tables
List of Tables
Table 1-1: PMS 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 (Base Forecast) ........................................................................ 20
Table 1-7: District-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For District:
Attock.......................................................................................................................................................... 21
Chakwal ...................................................................................................................................................... 22
Islamabad .................................................................................................................................................... 23
Jhelum ......................................................................................................................................................... 24
Rawalpindi .................................................................................................................................................. 25
Table 1-12: Division-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For Division:
Rawalpindi .................................................................................................................................................. 26
Table 1-13: Monthly Peak Demand Forecast ............................................................................................. 27
Table 1-14: List of Overloaded Substations during Period 2013-14 to 2023-24
Overloading
Criteria=100% ............................................................................................................................................. 28
Overloading
Criteria=85% ............................................................................................................................................... 30
Table 1-16: List of Grids with their Codes and MVA Capacities.............................................................. 32
Table 1- 17: Maximum Demand (MW) of Substations ............................................................................. 34
Table 1- 18: Category-wise Maximum Demand (MW) of Substations ..................................................... 40
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1 Introduction
The present report of Power Market Survey forecast is the 24th issue, jointly prepared by IESCO 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 IESCO has graphically presented in Figure 1-1.
Load forecasting is an important element of the power planning process involving prediction of
energy and demand. The forecast serves as the basis for demand and supply-side planning. Load
forecasts are typically prepared by utilities for different time frames depending upon the different
planning applications and operations.
Long term planning requires a system level forecast of total generation requirement and peak
demand. On the other hand transmission and distribution planning require more load level and
geographic detail to assess location, timing and loading of individual lines, substation and
transformation facilities.
Mega Watts (MW)
Computed Peak Demand (MW)
4500
4000
3500
3000
2500
2000
1500
1000
500
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 demographic 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 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
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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 ‘bottomup’ 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 un-served 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 consumers, trend projections and a review of the
applications for request of 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 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 of different economic sectors or
consumers categories over time, or changes in both the absolute and relative prices of electricity,
and 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 NTDCL is
using another model called regression model). Regression model is used for long term forecasting
as the changes in growth 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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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 2002-03, 2004-05, and 2013-14 are given in
Figure 1-2.
15%
2%
1%
2003-04
47%
3%
Domestic
Commercial
32%
Public Light
Small Industries
M&L Industries
3%
2005-06
13% 2%
2%
51%
Domestic
Commercial
Public Light
Small Industries
M&L Industries
Tube Well
29%
2013-14
1%
23%
2%
61%
1%
12%
Domestic
Commercial
Public Light
Small Industries
M&L Industries
Tube Well
Figure 1-2: Historical Category-wise Sale
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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 2011-12, 2012-13 and 201314.
645 (GWh) 7.74%
149 (GWh) 1.79%
7537 (GWh)
90.47%
2011-12
DistributionLoss
TransmissionLoss
Sale
879 (GWh)
10%
199.6 (GWh)
2%
2012-13
Distribution
Losses
Transmission
Losses
Sale
7764 (GWh)
88%
705.58 (GWh)
8%
150.81 (GWh)
2%
2013-14
Dist Losses
Trans Losses
8192 (GWh)
90%
Sale
Figure 1-3: Historical Transmission and Distribution Losses
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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.
2087
1969
PEAK DEMAND (MW)
2347
2325
2285
2500
2000
1645
1597
1458
1276
1500
1447
Recorded Peak Demand
Computed Peak Demand
1000
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 IESCO jurisdiction 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.
2500000
1978602
2140689
2224865
2306551
2379302
2000000
1500000
1000000
500000
0
2009-10
2010-11
2011-12
2012-13
2013-14
Figure 1-5: Number of Consumers
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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 demandmeteredconsumers 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).
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.
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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.
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
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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 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 (village, town or city).
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.
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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 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.
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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 10 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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4 PMS Forecast Results
4.1
Recorded Forecast (Excluding Load Shedding)
The term ‘recorded’ means the sale used in forecast 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 in forecast has been adjusted for un-served energy (load
shedding). Forecasted sale, transmission and distribution losses, generation requirement and peak
demand with load shedding has been shown on 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 all losses of the DISCO. This is also the base forecast. If
there had not been the load shedding the recorded forecast would have been the actual forecast i.e.
the base forecast.
5000
4000
3000
2347
2493
2649
2857
3029
3207
3382
3567
3757
3949
4143
2000
1000
0
Figure 1-6: Computed Peak Demand
25000
20000
Energy
Purchased
(GWh)
15000
10000
Energy Sale
(GWh)
5000
0
Figure 1-7: Energy Purchased VS Energy Sale
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4.3
Category-wise Forecasted Energy Sale (GWh)
Percentage share of each consumer category in total sale of year 2016-17 and year 2023-24 has
been depicted in Figure 1-8.
2017-18
156, 1%
3020, 22%
8370, 61%
Domestic
245, 2%
Commercial
116, 1%
Public Light
Small Industries
M&L Industries
1723, 13%
Tube Well
220, 1%
2023-24
3374, 18%
11946, 65%
324, 2%
Domestic
139, 1%
Commercial
Public Light
Small Industries
2360, 13%
M&L Industries
Tube Well
Figure 1-8: Forecasted Category-wise Sale
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)
The forecast of consumption (sale) in terms of Mega Watts with and without load shedding is
shown in Table 1-5 and Table 1-6 respectively.
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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 substation. Only distribution losses have been considered in preparing the grid station peak demand.
The peak demand of each substation, existing as well as proposed, situated in the service area of the
DISCO has been shown in the Table 1-17.
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 2016-17, 2018-19
and 2023-24 are obtained from forecasted data. Per capita consumption (kWh/person) is given in
Figure 1-9.
1200
1000
800
600
400
836
935
677
942
1018
200
0
2004-05
2013-14
2016-17
2018-19
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 118. 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 the last year i.e. 2023-24 have been presented in the
table.
4.8
Civil Administrative Area Forecast
The IESCO service area comprises of one civil administrative division i.e. Rawalpindi which has
five districts; Attock, Chakwal, Islamabad, Jehlum and Rawalpindi. The District-wise and civil
administrative Division -wise energy and demand projections have been presented in Tables 1-7 to
1-12. The last column of the table contains peak demand.
13
IESCO
4.9
Monthly Demand (MW) Projections
The Month–wise demand (MW) projection have been presented in Table 1-13. 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 1-14 and Table 1-15 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 of Grids contains each substation having their codes and transformers’ MVA capacities are
enlisted in the Table 1-16.
14
IESCO
Table 1-1: PMS Recorded Forecast (Excluding Load Shedding)
Year
Energy
Sale
(GWh)
Distribution
Losses
G.R
Transmission
Losses
Energy
Sent out
Load
Factor
Peak
Demand
(GWh)
(%)
(GWh)
(%)
(GWh)
(%)
(MW)
705
7.8
151
1.67
9049
71
1447
2013-14
8192
2014-15
8788
7.3
760
7.8
161
1.66
9709
71
1556
2015-16
9430
7.3
812
7.8
172
1.65
10414
71
1673
2016-17
10313
9.4
867
7.6
186
1.64
11366
71
1829
2017-18
10975
6.4
927
7.7
197
1.63
12099
71
1955
2018-19
11670
6.3
989
7.7
208
1.62
12867
70
2088
2019-20
12357
5.9
1051
7.7
219
1.61
13628
70
2218
2020-21
13093
5.9
1115
7.7
231
1.60
14438
70
2357
2021-22
13838
5.7
1180
7.7
243
1.59
15261
70
2499
2022-23
14596
5.5
1246
7.7
255
1.58
16097
70
2643
2023-24
15364
5.3
1313
7.7
266
1.57
16944
69
2788
Ave. Growth
(2014-2024)
6.49%
6.47%
6.78%
15
IESCO
Table 1-2: PMS Base Forecast
Year
Computed
Energy Sale
Energy
Sale
Computed
Computed
Load
Energy
Peak
Factor
Sent Out
Demand
G.R
Distribution
Losses
Transmission
Losses
(%)
(GWh)
(%)
(GWh)
(%)
(GWh)
(%)
(MW)
915
7.9
196.0
1.67
11741
57
2347
G.R
(GWh)
(GWh)
2013-14
8192
10630
2014-15
8788
11265
6.0
974
8.0
206.5
1.66
12446
57
2493
6.2
2015-16
9430
11957
6.1
1030
7.9
217.8
1.65
13205
57
2649
6.3
2016-17
10313
12899
7.9
1091
7.8
233.2
1.64
14223
57
2857
7.8
2017-18
10975
13629
5.7
1156
7.8
245.0
1.63
15030
57
3029
6.0
2018-19
11670
14378
5.5
1223
7.8
256.9
1.62
15857
56
3207
5.9
2019-20
12357
15121
5.2
1290
7.9
268.6
1.61
16679
56
3382
5.5
2020-21
13093
15913
5.2
1358
7.9
281.0
1.60
17552
56
3567
5.5
2021-22
13838
16716
5.1
1429
7.9
293.4
1.59
18438
56
3757
5.3
2022-23
14596
17534
4.9
1500
7.9
305.9
1.58
19340
56
3949
5.1
2023-24
15364
18363
4.7
1572
7.9
318.4
1.57
20253
56
4143
4.9
Ave. Growth
(2014-2024)
5.62%
5.60%
(%)
5.85%
16
IESCO
Table 1-3: Category-wise Sale – GWh (Excluding Load Shedding)
Domestic
Commercial
Public Light
Year
Small
Industries
M&L
Industries
Energy G.R Energy G.R Energy G.R Energy G.R Energy
1030
Energy G.R Energy G.R Energy G.R
2014-15
5406
8.7
1087
5.5
81
3.9
163
6.4
1950
4.7
100
7.7
0
0.0
8788
7.3
2015-16
5814
7.6
1179
8.5
84
3.9
173
6.2
2071
6.2
108
7.4
0
0.0
9430
7.3
2016-17
6251
7.5
1281
8.6
88
3.8
184
6.0
2394
15.6
116
7.2
0
0.0
10313
9.4
2017-18
6724
7.6
1393
8.8
91
3.7
195
5.8
2449
2.3
124
7.0
0
0.0
10975
6.4
2018-19
7228
7.5
1508
8.2
94
3.6
206
5.6
2502
2.1
132
6.8
0
0.0
11670
6.3
2019-20
7745
7.1
1602
6.3
98
3.6
217
5.5
2555
2.1
141
6.6
0
0.0
12357
5.9
2020-21
8306
7.2
1698
6.0
101
3.5
228
5.3
2609
2.1
150
6.4
0
0.0
13093
5.9
2021-22
8873
6.8
1798
5.8
104
3.4
240
5.2
2664
2.1
159
6.3
0
0.0
13838
5.7
2022-23
9451
6.5
1896
5.5
108
3.4
252
5.1
2720
2.1
169
6.1
0
0.0
14596
5.5
2023-24
10037
6.2
1996
5.3
112
3.3
265
4.9
2777
2.1
179
6.0
0
0.0
15364
5.3
Ave. Growth
(2014-2024)
7.27%
5.61%
1862
Total
4975
3.61%
153
Traction
2013-14
6.83%
78
G.R
Tube Well
4.07%
93
6.76%
1.9
0.00%
8192
6.49%
17
IESCO
Table 1-4: Category-wise Sale – GWh (Base Forecast)
Domestic
Commercial
Public Light
Year
Small
Industries
M&L
Industries
Energy G.R Energy G.R Energy G.R Energy G.R Energy
1337
Energy G.R Energy G.R Energy G.R
2014-15
6914
7.1
1399
4.6
105
3.4
210
5.6
2508
3.8
129
6.8
0.0
0
11265
6.0
2015-16
7360
6.5
1496
7.0
109
3.4
222
5.4
2633
5.0
138
6.7
0.0
0
11957
6.1
2016-17
7841
6.5
1605
7.3
112
3.3
233
5.3
2961
12.5
147
6.5
0.0
0
12899
7.9
2017-18
8370
6.7
1723
7.3
116
3.3
245
5.1
3020
2.0
156
6.3
0.0
0
13629
5.7
2018-19
8915
6.5
1843
7.0
120
3.2
257
5.0
3077
1.9
165
6.2
0.0
0
14378
5.5
2019-20
9474
6.3
1943
5.4
123
3.2
270
4.9
3135
1.9
175
6.0
0.0
0
15121
5.2
2020-21
10078
6.4
2045
5.2
127
3.1
283
4.8
3193
1.9
186
5.9
0.0
0
15913
5.2
2021-22
10689
6.1
2150
5.1
131
3.1
296
4.7
3253
1.9
197
5.8
0.0
0
16716
5.1
2022-23
11314
5.8
2254
4.8
135
3.0
310
4.6
3313
1.9
208
5.7
0.0
0
17534
4.9
2023-24
11946
5.6
2360
4.7
139
3.0
324
4.5
3374
1.8
220
5.6
0.0
0
18363
4.7
Ave. Growth
(2014-2024)
6.35%
4.98%
2416
Total
6455
3.20%
199
Traction
2013-14
5.85%
102
G.R
Tube Well
3.40%
121
6.16%
1.9
0.00%
10630
5.62%
18
IESCO
Table 1-5: Category-wise Demand – MW (Excluding Load Shedding)
Domestic
Commercial
Public Light
Year
Demand G.R Demand
G.R
205
Small
Industries
M&L
Industries
Demand G.R Demand G.R Demand
19
24
G.R
334
Tube Well
Traction
Total
Demand G.R Demand G.R Demand G.R
2013-14
843
14
0
1311
2014-15
925
9.7
218
6.4
20
3.9
25
6.9
345
3.2
15
7.7
0
0
1410
7.5
2015-16
1000
8.1
239
9.8
21
3.9
27
6.6
361
4.7
16
7.5
0
0
1516
7.5
2016-17
1082
8.2
263
10.0
22
3.8
29
6.4
408
12.9
17
7.2
0
0
1661
9.5
2017-18
1171
8.3
290
10.1
23
3.7
30
6.2
414
1.5
18
7.0
0
0
1775
6.9
2018-19
1268
8.2
317
9.5
23
3.6
32
6.0
419
1.3
19
6.8
0
0
1895
6.8
2019-20
1366
7.8
340
7.2
24
3.6
34
5.8
425
1.3
21
6.6
0
0
2013
6.2
2020-21
1472
7.8
363
6.9
25
3.5
36
5.6
430
1.3
22
6.4
0
0
2139
6.3
2021-22
1580
7.3
387
6.6
26
3.4
38
5.4
436
1.3
24
6.3
0
0
2267
6.0
2022-23
1690
7.0
411
6.1
27
3.4
40
5.3
442
1.3
25
6.1
0
0
2397
5.7
2023-24
1802
6.6
435
5.9
28
3.3
42
5.2
448
1.3
26
6.0
0
0
2529
5.5
19
IESCO
Table 1-6: Category-wise Demand – MW (Base Forecast)
Domestic
Commercial
Public Light
Year
Small
Industries
M&L
Industries
Demand G.R Demand G.R Demand G.R Demand G.R Demand
331
31
43
G.R
541
Tube Well
Traction
Demand G.R Demand
22
G.R
1
Total
Demand G.R
2013-14
1364
2127
2014-15
1473
8.0
349
5.3
32
3.4
45
5.6
556
2.7
24
6.8
0
0.00
2258
6.2
2015-16
1575
6.9
377
8.0
34
3.4
48
5.4
577
3.8
25
6.6
0
0.00
2400
6.3
2016-17
1686
7.1
409
8.4
35
3.3
50
5.3
636
10.2
27
6.5
0
0.00
2593
8.0
2017-18
1810
7.4
443
8.5
36
3.3
53
5.1
644
1.3
29
6.3
0
0.00
2749
6.0
2018-19
1939
7.1
479
8.0
37
3.2
56
5.0
652
1.2
31
6.2
0
0.00
2909
5.8
2019-20
2071
6.8
509
6.3
38
3.2
58
4.9
660
1.2
32
6.0
0
0.00
3067
5.4
2020-21
2213
6.8
539
6.0
39
3.1
61
4.8
668
1.2
34
5.9
0
0.00
3236
5.5
2021-22
2357
6.5
571
5.8
41
3.1
64
4.7
676
1.2
36
5.8
0
0.00
3408
5.3
2022-23
2504
6.2
602
5.4
42
3.0
67
4.6
684
1.2
38
5.7
0
0.00
3582
5.1
2023-24
2652
5.9
634
5.3
43
3.0
70
4.5
693
1.2
41
5.6
0
0.00
3758
4.9
20
IESCO
Table 1-7: District-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For District: Attock
Energy Sale
Year
Distribution
Losses
Transmission
Losses
Generation
Load
Factor
Peak
Demand
(GWh)
G.R.(%)
(GWh)
%
(GWh)
%
(GWh)
%
(MW)
2013-14
1528
0.00
97
5.94
28
1.67
1652
40
472
2014-15
1648
7.83
107
6.11
30
1.66
1785
40
506
2015-16
1763
7.00
117
6.22
32
1.65
1912
40
539
2016-17
1922
9.01
127
6.20
34
1.64
2083
41
582
2017-18
2039
6.07
138
6.34
36
1.63
2213
41
617
2018-19
2158
5.85
149
6.47
38
1.62
2345
41
652
2019-20
2280
5.66
161
6.58
40
1.61
2481
41
688
2020-21
2405
5.48
172
6.68
42
1.60
2619
41
726
2021-22
2533
5.32
184
6.78
44
1.59
2761
41
764
2022-23
2664
5.17
196
6.86
46
1.58
2907
41
802
2023-24
2798
5.03
209
6.94
48
1.57
3055
41
842
Ave. Growth
(2014-2024)
6.24%
6.34%
5.95%
21
IESCO
Table 1-8: District-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For District: Chakwal
Energy Sale
Year
Distribution
Losses
Transmission
Losses
Generation
Load Factor
Peak
Demand
(GWh)
G.R.(%)
(GWh)
%
(GWh)
%
(GWh)
%
(MW)
2013-14
1437
0.00
90
5.87
26
1.67
1552
50
356
2014-15
1522
5.93
98
6.03
27
1.66
1647
50
379
2015-16
1660
9.05
106
5.99
30
1.65
1795
50
414
2016-17
1961
18.13
114
5.49
35
1.64
2109
50
485
2017-18
2050
4.55
122
5.63
36
1.63
2208
50
509
2018-19
2141
4.45
131
5.76
37
1.62
2309
49
534
2019-20
2234
4.36
140
5.88
39
1.61
2413
49
559
2020-21
2330
4.27
148
5.99
40
1.60
2519
49
585
2021-22
2428
4.19
157
6.09
42
1.59
2627
49
612
2022-23
2528
4.12
167
6.19
43
1.58
2738
49
639
2023-24
2630
4.05
176
6.27
45
1.57
2851
49
666
Ave. Growth
(2014-2024)
6.23%
6.27%
6.47%
22
IESCO
Table 1-9: District-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For District: Islamabad
Energy Sale
Year
Distribution
Losses
Transmission
Losses
Generation
Load Factor
Peak
Demand
(GWh)
G.R.(%)
(GWh)
%
(GWh)
%
(GWh)
%
(MW)
2013-14
2348
0.00
228
8.86
44
1.67
2620
49
614
2014-15
2486
5.85
241
8.85
46
1.66
2773
48
654
2015-16
2646
6.43
253
8.74
49
1.65
2948
48
698
2016-17
2839
7.33
269
8.65
52
1.64
3160
48
754
2017-18
3061
7.81
287
8.58
55
1.63
3404
47
820
2018-19
3289
7.46
307
8.52
59
1.62
3655
47
888
2019-20
3500
6.42
325
8.50
63
1.61
3888
47
950
2020-21
3748
7.07
344
8.42
67
1.60
4159
47
1021
2021-22
3994
6.58
364
8.36
70
1.59
4429
46
1093
2022-23
4242
6.20
384
8.30
74
1.58
4700
46
1165
2023-24
4488
5.80
404
8.25
78
1.57
4969
46
1236
Ave. Growth
(2014-2024)
6.69%
6.61%
7.25%
23
IESCO
Table 1-10: District-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For District: Jhelum
Energy Sale
Year
Distribution
Losses
Transmission
Losses
Generation
Load Factor
Peak
Demand
(GWh)
G.R.(%)
(GWh)
%
(GWh)
%
(GWh)
%
(MW)
2013-14
1441
0.00
140
8.87
27
1.67
1608
53
348
2014-15
2486
3.43
145
8.85
28
1.66
1662
53
360
2015-16
2646
3.39
149
8.83
28
1.65
1718
53
373
2016-17
2839
3.36
154
8.82
29
1.64
1776
52
386
2017-18
3061
3.33
159
8.80
30
1.63
1834
52
400
2018-19
3289
3.30
164
8.78
31
1.62
1894
52
413
2019-20
3500
3.28
169
8.77
32
1.61
1956
52
427
2020-21
3748
3.25
174
8.75
32
1.60
2019
52
441
2021-22
3994
3.22
179
8.73
33
1.59
2083
52
456
2022-23
4242
3.20
184
8.72
34
1.58
2149
52
471
2023-24
4488
3.17
190
8.70
35
1.57
2217
52
487
Ave. Growth
(2014-2024)
12.03%
3.27%
3.41%
24
IESCO
Table 1-11: District-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For District: Rawalpindi
Energy Sale
Year
Distribution
Losses
Transmission
Losses
Generation
Load Factor
Peak
Demand
(GWh)
G.R.(%)
(GWh)
%
(GWh)
%
(GWh)
%
(MW)
2013-14
3876
0.00
361
8.51
72
1.67
4308
51
955
2014-15
4119
6.28
383
8.52
76
1.66
4579
51
1016
2015-16
4348
5.55
405
8.52
80
1.65
4832
51
1074
2016-17
4584
5.44
427
8.52
84
1.64
5095
51
1135
2017-18
4834
5.44
449
8.50
88
1.63
5371
51
1199
2018-19
5089
5.28
472
8.49
92
1.62
5653
51
1265
2019-20
5350
5.13
496
8.48
96
1.61
5942
51
1332
2020-21
5617
4.99
519
8.46
100
1.60
6236
51
1400
2021-22
5890
4.86
544
8.45
104
1.59
6538
51
1471
2022-23
6169
4.74
569
8.44
108
1.58
6846
51
1542
2023-24
6455
4.63
594
8.42
113
1.57
7161
51
1616
Ave. Growth
(2014-2024)
5.23%
5.21%
5.40%
25
IESCO
Table 1-12: Division-wise Energy (GWh), Generation (GWh) and Demand (MW) Forecast For Division: Rawalpindi
Energy Sale
Year
Distribution Losses
Transmission Losses
Generation
Load Factor
Peak
Demand
(GWh)
G.R.(%)
(GWh)
%
(GWh)
%
(GWh)
%
(MW)
2013-14
10630
0.00
915
7.93
196
1.67
11741
57
2347
2014-15
11265
5.98
974
7.96
206
1.66
12446
57
2493
2015-16
11957
6.14
1030
7.93
218
1.65
13205
57
2649
2016-17
12899
7.88
1091
7.80
233
1.64
14223
57
2857
2017-18
13629
5.66
1156
7.82
245
1.63
15030
57
3029
2018-19
14378
5.49
1223
7.84
257
1.62
15857
56
3207
2019-20
15121
5.17
1290
7.86
269
1.61
16679
56
3382
2020-21
15913
5.24
1358
7.87
281
1.60
17552
56
3567
2021-22
16716
5.05
1429
7.87
293
1.59
18438
56
3757
2022-23
17534
4.89
1500
7.88
306
1.58
19340
56
3949
2023-24
18363
4.73
1572
7.89
318
1.57
20253
56
4143
Ave. Growth
(2014-2024)
5.62%
5.60%
5.85%
26
IESCO
Table 1-13: Monthly Peak Demand Forecast
July
August
September
October
November
December
January
February
March
April
May
June
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
(MW)
2013-14
2272
2309
2075
2070
1396
1504
1648
1582
1350
1786
2023
2347
2014-15
2413
2453
2203
2198
1483
1598
1750
1680
1433
1897
2149
2493
2015-16
2564
2606
2341
2336
1576
1698
1859
1785
1523
2016
2283
2649
2016-17
2765
2811
2525
2519
1700
1831
2005
1925
1643
2174
2462
2857
2017-18
2932
2981
2678
2672
1802
1942
2127
2042
1742
2305
2611
3029
2018-19
3104
3155
2835
2828
1908
2055
2251
2161
1844
2440
2764
3207
2019-20
3273
3327
2989
2982
2012
2168
2374
2279
1944
2573
2915
3382
2020-21
3453
3510
3153
3146
2122
2287
2504
2404
2051
2715
3075
3567
2021-22
3636
3696
3321
3313
2235
2408
2637
2532
2160
2859
3238
3757
2022-23
3822
3885
3491
3483
2349
2531
2772
2661
2270
3005
3404
3949
2023-24
4010
4077
3662
3654
2465
2656
2908
2792
2382
3153
3571
4143
Year
27
IESCO
1
2
3
4
Bakar Mandi
Chaklala
Gujar khan
KTM
KV
132
132
132
132
10
25
49
86
Total
Capacity
(MVA)
92
92
78
92
5
6
7
8
9
10
Kahuta City
Muree
Nilore
Rawat
Sanjwal
Taxila
132
132
132
132
132
132
90
137
147
177
189
212
39
65
39
65
39
78
35.10
58.50
35.10
56.55
33.54
67.86
35.10
58.50
35.10
56.55
33.54
67.86
11
12
13
14
15
16
17
C.S.Shah
Dandot
Jand
Pir Wadhai
Dina
Rajar
Hajira AJK
132
66
66
132
132
132
33
246
290
294
433
468
470
486
26
26
13
106
39
52
22
22.10
23.40
11.70
95.40
35.10
46.80
19.58
18
19
20
21
22
23
N.P.Sethi
Baragowah
Ahmadal
Neela
F-11
Attock New
66
132
66
132
132
132
597
630
631
643
692
751
13
13
19
13
66
39
24
25
26
27
28
29
E-8
Padshahan
Minhasa
Margalla
Taimor Shahed
Swan
132
132
33
132
132
132
755
791
794
833
864
874
52
26
14
52
78
52
S.No.
Name
Rating
Grid #
Total
Capacity
(MW)
82.80
82.80
70.20
82.80
Overloading
Criterion
(MW)
82.80
82.80
70.20
82.80
Overloading
Criterion
(%)
100.00
100.00
100.00
100.00
Overloading Criteria=100%
2021-22
2014-15
2019-20
2016-17
Overloading
Status
(MW)
79.40
82.10
68.70
79.80
100.00
100.00
100.00
100.00
100.00
100.00
2017-18
2021-22
2021-22
2021-22
2015-16
2021-22
32.20
55.80
34.90
55.30
33.40
67.40
0.90
0.90
0.90
0.87
0.86
0.87
22.10
23.40
11.70
95.40
35.10
46.80
19.58
100.00
100.00
100.00
100.00
100.00
100.00
100.00
2018-19
2016-17
2013-14
2022-23
2018-19
2017-18
2017-18
22.00
23.10
12.80
94.40
34.90
45.80
19.40
0.85
0.90
0.90
0.90
0.90
0.90
0.89
11.70
11.70
17.10
11.70
59.40
35.10
11.70
11.70
17.10
11.70
59.40
35.10
100.00
100.00
100.00
100.00
100.00
100.00
2013-14
2018-19
2022-23
2013-14
2017-18
2020-21
13.00
11.70
17.10
12.70
58.40
33.60
0.90
0.90
0.90
0.90
0.90
0.90
46.80
23.40
12.46
44.72
70.20
45.24
46.80
23.40
12.46
44.72
70.20
45.24
100.00
100.00
100.00
100.00
100.00
100.00
2022-23
2019-20
2013-14
2016-17
2021-22
2015-16
46.60
21.80
12.20
43.30
69.10
45.20
0.90
0.90
0.89
0.86
0.90
0.87
Year of
Overloading
Power
Factor
0.90
0.90
0.90
0.90
28
IESCO
S.No.
Name
Rating
Grid #
Total
Capacity
(MVA)
Total
Capacity
(MW)
Overloading
Criterion
(MW)
Overloading
Criterion
(%)
Year of
Overloading
Overloading
Status
(MW)
Power
Factor
KV
30
Gondal
132
899
26
21.84
21.84
100.00
2016-17
21.00
0.84
31
32
33
34
35
36
Police Foundati
Bahria Town-4
Chattarpari
Satellite Town
Chakri
Kallar Sydan
132
132
132
132
132
132
900
904
913
958
968
981
39
26
13
106
26
26
35.10
23.40
11.57
95.40
23.40
23.40
35.10
23.40
11.57
95.40
23.40
23.40
100.00
100.00
100.00
100.00
100.00
100.00
2013-14
2022-23
2015-16
2022-23
2016-17
2015-16
31.80
23.40
11.50
94.70
22.40
22.80
0.90
0.90
0.89
0.90
0.90
0.90
37
38
39
40
41
42
Talagang
Fatehpur
Bahria Town-8
Basal
Tarnol
Tarmari
132
33
220
132
132
132
1024
1033
1038
1039
1049
1055
39
8
13
26
26
26
34.71
7.12
11.70
23.14
23.40
23.40
34.71
7.12
11.70
23.14
23.40
23.40
100.00
100.00
100.00
100.00
100.00
100.00
2013-14
2018-19
2018-19
2014-15
2015-16
2014-15
33.00
7.00
11.60
22.50
18.60
23.00
0.89
0.89
0.90
0.89
0.90
0.90
29
IESCO
S.No.
Name
Rating
Overloading Criteria=85%
Grid #
Total
Capacity
(MVA)
Total
Capacity
(MW)
Overloading
Criterion
(MW)
Overloading
Criterion
(%)
Year of
Overloading
Overloading
Status
(MW)
Power
Factor
KV
1
2
3
4
Bakar Mandi
Chakwal
Chaklala
Gujar khan
132
132
132
132
10
22
25
49
92
122
92
78
82.80
106.14
82.80
70.20
70.38
90.22
70.38
59.67
85.00
85.00
85.00
85.00
2013-14
2020-21
2013-14
2013-14
80.00
87.60
79.70
60.00
0.90
0.87
0.90
0.90
5
6
7
8
9
10
I-10
Jatli
KTM
Kahuta City
F Abad
Muree
132
132
132
132
132
132
64
74
86
90
120
137
106
39
92
39
65
65
93.28
35.10
82.80
35.10
57.85
58.50
79.29
29.84
70.38
29.84
49.17
49.73
85.00
85.00
85.00
85.00
85.00
85.00
2015-16
2019-20
2013-14
2016-17
2021-22
2019-20
78.00
29.40
76.30
26.90
47.80
48.70
0.88
0.90
0.90
0.90
0.89
0.90
11
12
13
14
15
16
New Wah
Nilore
Rawal
Rawat
Rwp Cantt
Sanjwal
132
132
132
132
132
132
146
147
174
177
179
189
118
39
106
65
92
39
101.48
35.10
94.34
56.55
82.80
33.54
86.26
29.84
80.19
48.07
70.38
28.51
85.00
85.00
85.00
85.00
85.00
85.00
2020-21
2016-17
2017-18
2016-17
2022-23
2013-14
81.30
29.40
77.60
46.80
69.20
23.10
0.86
0.90
0.89
0.87
0.90
0.86
17
18
19
20
21
22
Taxila
Zero Point
C.S.Shah
Dandot
Jand
Pindi Gheb
132
132
132
66
66
66
212
223
246
290
294
432
78
106
26
26
13
26
67.86
95.40
22.10
23.40
11.70
23.40
57.68
81.09
18.79
19.89
9.95
19.89
85.00
85.00
85.00
85.00
85.00
85.00
2017-18
2020-21
2014-15
2013-14
2013-14
2020-21
54.60
79.70
18.50
20.00
12.80
19.20
0.87
0.90
0.85
0.90
0.90
0.90
23
24
25
26
27
28
Pir Wadhai
Dina
Rajar
Hajira AJK
Mir Pur AJK
N.P.Sethi
132
132
132
33
132
66
433
468
470
486
594
597
106
39
52
22
78
13
95.40
35.10
46.80
19.58
69.42
11.70
81.09
29.84
39.78
16.64
59.01
9.95
85.00
85.00
85.00
85.00
85.00
85.00
2017-18
2014-15
2014-15
2013-14
2022-23
2013-14
80.40
29.10
39.20
17.70
58.50
13.00
0.90
0.90
0.90
0.89
0.89
0.90
30
IESCO
S.No.
Name
Rating
Grid #
Total
Capacity
(MVA)
Total
Capacity
(MW)
Overloading
Criterion
(MW)
Overloading
Criterion
(%)
Year of
Overloading
Overloading
Status
(MW)
Power
Factor
KV
29
Baragowah
132
630
13
11.70
9.95
85.00
2014-15
9.50
0.90
30
31
32
33
34
35
Ahmadal
Neela
F-11
H-11
Attock New
E-8
66
132
132
132
132
132
631
643
692
727
751
755
19
13
66
92
39
52
17.10
11.70
59.40
82.80
35.10
46.80
14.54
9.95
50.49
70.38
29.84
39.78
85.00
85.00
85.00
85.00
85.00
85.00
2019-20
2013-14
2013-14
2017-18
2018-19
2013-14
14.20
12.70
48.60
69.30
29.50
41.10
0.90
0.90
0.90
0.90
0.90
0.90
36
37
38
39
40
41
Padshahan
Minhasa
Margalla
Taimor Shahed
Swan
Gondal
132
33
132
132
132
132
791
794
833
864
874
899
26
14
52
78
52
26
23.40
12.46
44.72
70.20
45.24
21.84
19.89
10.59
38.01
59.67
38.45
18.56
85.00
85.00
85.00
85.00
85.00
85.00
2013-14
2013-14
2014-15
2015-16
2013-14
2013-14
21.60
12.20
36.90
59.40
40.20
18.00
0.90
0.89
0.86
0.90
0.87
0.84
42
43
44
45
46
47
Police Foundati
Bahria Town-4
Chattarpari
Mong AJK
Satellite Town
Chakri
132
132
132
33
132
132
900
904
913
945
958
968
39
26
13
8
106
26
35.10
23.40
11.57
7.12
95.40
23.40
29.84
19.89
9.84
6.05
81.09
19.89
85.00
85.00
85.00
85.00
85.00
85.00
2013-14
2015-16
2013-14
2016-17
2015-16
2013-14
31.80
19.70
11.00
6.00
79.50
19.20
0.90
0.90
0.89
0.89
0.90
0.90
48
49
50
51
52
53
Kallar Sydan
Talagang
Fatehpur
Bahria Town-8
Basal
Bagh
132
132
33
220
132
132
981
1024
1033
1038
1039
1042
26
39
8
13
26
26
23.40
34.71
7.12
11.70
23.14
23.14
19.89
29.50
6.05
9.95
19.67
19.67
85.00
85.00
85.00
85.00
85.00
85.00
2013-14
2013-14
2013-14
2013-14
2013-14
2021-22
20.90
33.00
6.30
10.30
19.60
19.60
0.90
0.89
0.89
0.90
0.89
0.89
54
55
56
Tarnol
Tarmari
IslamGarh
132
132
132
1049
1055
1062
26
26
26
23.40
23.40
23.14
19.89
19.89
19.67
85.00
85.00
85.00
2015-16
2013-14
2020-21
18.60
21.20
19.50
0.90
0.90
0.89
31
IESCO
Table 1-16: List of Grids with their Codes and MVA Capacities
SR.
No
Grid
No.
1
10
3
kV
Grid Name
Transformer
(MVA)
(MVA)
Total
Grid
No.
92
2
21
220 Burhan
13
122
4
25
132 Chaklala
40
26
26
92
78
6
64
132 I-10
40
26
40
106
39
8
77
132 Jhelum
26
26
40
92
26
kV
Grid Name
T1
T2
T3
132 Bakar Mandi
40
26
26
22
132 Chakwal
30
40
26
5
49
132 Gujar khan
26
26
26
7
74
132 Jatli
26
13
9
86
132 KTM
26
40
26
92
10
90
132 Kahuta City
13
11
120
132 F Abad
26
26
13
65
12
126
132 Mangla Right
26
13
137
132 Muree
26
26
13
65
14
146
132 New Wah
26
26
40
15
147
132 Nilore
26
13
39
16
174
132 Rawal
40
26
40
106
17
177
132 Rawat
26
26
65
18
179
132 Rwp Cantt
26
26
40
92
19
189
132 Sanjwal
13
26
39
20
212
132 Taxila
26
13
13
21
223
132 Zero Point
40
26
40
106
22
246
132 C.S.Shah
26
23
259
66
D.S.Bilawal
8
8
5
20
24
272
132 Fateh Jhang
5
25
290
66
Dandot
13
13
26
26
294
66
Jand
13
27
432
66
Pindi Gheb
13
13
26
28
433
132 Pir Wadhai
40
26
29
468
132 Dina
13
26
39
30
470
132 Rajar
26
26
31
481
132 Kotli AJK
26
26
78
32
482
132 Chak Sawari
13
26
33
484
132 Rawala Kot
26
26
52
34
485
33
Plandri AJK
13
13
35
486
33
Hajira AJK
4
5
13
22
36
521
66
Lakar Mar
13
13
37
582
66
Pinanwal
13
13
13
39
38
594
132 Mir Pur AJK
26
26
26
78
39
597
66
N.P.Sethi
13
13
40
611
132 I-8
40
26
40
106
41
630
132 Baragowah
13
13
42
631
66
13
6
13
26
T4
Transformer
SR.
No
26
Ahmadal
T1
T2
T3
T4
Total
13
39
26
26
26
118
78
26
30
26
13
74
13
40
106
52
26
65
19
32
IESCO
Transformer
T1 T2 T3 T4
(MVA)
Total
SR.
No
Grid
No.
kV
13
44
645
500 New Rawat
13
13
26
34
46
692
132 F-11
40
26
66
19
48
727
132 H-11
26
40
78
50
751
132 Attock New
26
13
39
52
52
791
132 Padshahan
13
13
26
14
54
810
220 Sang jani
13
13
26
26
52
56
864
132 Taimor Shahed 26
26
6
13
19
58
874
132 Swan
26
26
52
220 University
26
26
13
65
60
899
132 Gondal
13
13
26
900
132 Police Foundati
13
13
13
39
62
904
132 Bahria Town-4
26
26
63
911
132 Dudyal
26
26
52
64
913
132 Chattarpari
13
13
65
928
132 Khoratta
26
13
13
52
66
945
33
4
67
958
132 Satellite Town
40
26
40
106
68
968
132 Chakri
26
69
981
132 Kallar Sydan
13
13
26
70
1024
132 Talagang
13
26
39
71
1032
132 New Mir Pur AJK 26
26
52
72
1033
33
Fatehpur
4
4
8
73
1037
132 Chaintt Bhattia
13
13
74
1038
220 Bahria Town-8
13
75
1039
132 Basal
26
26
76
1040
132 D-12
26
26
52
77
1042
132 Bagh
13
13
26
78
1043
132 AWC
13
13
26
79
1046
132 I-16
26
26
78
80
1049
132 Tarnol
13
13
26
81
1055
132 Tarmari
26
26
82
1062
132 IslamGarh
26
83
1063
132 DESTO
26
26
84
1067
132 G-13
26
26
85
1071
132 Metalworks (Att
8
8
86
1076
132 MES
40
40
87
1091
132 Adyala Rd
40
SR.
No
Grid
No.
kV
43
643
132 Neela
13
45
669
132 Mangla-Left
8
26
47
722
66
6
5
8
49
750
132 G-5
26
26
13
51
755
132 E-8
26
26
53
794
33
Minhasa
5
5
55
833
132 Margalla
26
57
870
132 Tarar Khal
59
892
61
Grid Name
Tamman
40
4
26
13
Grid Name
Mong AJK
Transformer
T1 T2 T3 T4
26
26
4
(MVA)
Total
92
78
8
26
13
26
26
78
80
80
33
IESCO
Table 1- 17: 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: IESCO
-------------------------------------------------------------------------------------------------------------------------------------|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. 645 New Rawat
500
32.3
33.7
35.1
36.5
38.0
0.0
0.0
0.0
0.0
0.0
0.0
2. 1038 Bahria Town-8
220
10.3
10.5
10.8
11.1
11.3
11.6
11.9
12.2
12.5
12.8
13.1
3.
220
6.0
6.1
6.2
6.3
6.4
0.0
0.0
0.0
0.0
0.0
0.0
21 Burhan
4.
810 Sang jani
220
20.2
22.7
25.4
28.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.
892 University
220
44.7
48.8
52.4
56.2
60.0
0.0
0.0
0.0
0.0
0.0
0.0
6.
661 ARL
132
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
4.2
7. 1043 AWC
132
6.6
6.6
6.6
6.6
6.6
6.6
6.6
6.6
6.6
6.6
6.6
8. 1091 Adyala Rd
132
0.0
30.1
31.8
33.5
35.2
37.0
38.9
40.8
42.7
44.7
46.7
9.
132
20.0
21.9
23.7
25.6
27.6
29.5
31.6
33.6
35.7
37.9
40.1
10. 1042 Bagh
132
16.3
16.7
17.1
17.5
17.9
18.3
18.7
19.2
19.6
20.1
20.6
11.
132
18.8
19.3
19.7
20.2
20.7
21.2
21.8
22.3
22.9
23.4
24.0
132
80.0
54.6
57.9
61.3
64.7
68.3
71.9
75.6
79.4
83.3
87.3
132
8.9
9.5
10.0
10.6
11.1
11.7
12.3
12.9
13.5
14.1
14.8
14. 1039 Basal
132
19.6
22.5
25.5
28.6
31.8
35.0
38.3
41.7
45.1
48.7
52.3
15.
920 Bestway Cemen
132
31.6
31.6
31.6
31.6
31.6
31.6
31.6
31.6
31.6
31.6
31.6
16.
643 Bhagwal/Neela
132
12.7
14.9
17.1
19.3
21.6
23.9
26.2
28.7
31.1
33.7
36.2
17.
246 C.S.Shah
132
17.5
18.5
19.3
20.2
21.0
22.0
22.9
23.8
24.8
25.8
26.8
18.
817 CDA P/Station
132
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
19. 1037 Chaintt Bhatt
132
3.2
3.5
3.7
4.0
4.2
4.5
4.8
5.1
5.4
5.7
6.0
20.
132
14.6
14.9
15.3
15.6
16.0
16.4
16.8
17.2
17.6
18.0
18.4
132
79.7
82.1
86.1
90.1
94.2
98.4
102.6
107.0
111.5
116.1
120.8
132
19.2
20.2
21.3
22.4
23.5
24.6
25.8
27.0
28.2
29.5
30.7
132
63.8
67.0
70.2
73.6
77.0
80.4
84.0
87.6
91.3
95.1
99.0
132
11.0
11.3
11.5
11.8
12.0
12.3
12.6
12.8
13.1
13.4
13.7
132
22.0
23.1
24.4
25.6
26.9
28.2
29.5
30.9
32.3
33.7
35.2
12.
13.
21.
22.
23.
24.
751 Attock
904 Bahria Town-4
10 Bakra Mandi
630 Baragowa
482 Chak Sawari A
25 Chaklala
968 Chakri
22 Chakwal
913 Chattar Pari
25. 1040 D-12
34
IESCO
LOAD
CENTRE
SUMMARY
DISCO: IESCO
-------------------------------------------------------------------------------------------------------------------------------------|GRID| NAME OF
|
|_______________________________________________Y____E____A____R_____________________________________ _________|
-------------------------------------------------------------------------------------------------------------------------------------26. 1063 DESTO
132
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
27.
939 DGK Cement
132
22.5
22.5
22.5
22.5
22.5
22.5
22.5
22.5
22.5
22.5
22.5
28.
997 DHA-II
132
5.8
7.1
8.4
9.7
11.1
12.5
13.9
15.4
16.9
18.4
20.0
29.
667 Dandot Cement
132
7.6
7.6
7.6
7.6
7.6
7.6
7.6
7.6
7.6
7.6
7.6
30.
911 Dhudyal
132
21.9
22.4
23.0
23.5
24.1
24.6
25.2
25.8
26.4
27.1
27.7
31.
468 Dina
132
27.8
29.1
30.5
32.0
33.4
34.9
36.5
38.1
39.7
41.3
43.0
32.
755 E-8
132
41.1
41.9
40.4
41.3
42.1
43.0
43.9
44.8
45.7
46.6
47.6
33.
692 F-11
132
48.6
51.0
53.4
55.9
58.4
61.0
63.6
65.7
68.5
71.3
74.2
34.
795 FCCL-I
132
27.0
27.0
27.0
27.0
27.0
27.0
27.0
27.0
27.0
27.0
27.0
35. 1023 FCCL-II
132
36.2
36.2
36.2
36.2
36.2
36.2
36.2
36.2
36.2
36.2
36.2
36.
120 Faqirabad
132
44.7
47.6
50.2
52.9
55.7
40.2
42.7
45.2
47.8
50.4
53.1
37.
272 Fateh Jhang
132
28.3
30.5
32.7
34.9
37.2
39.6
42.0
44.5
47.1
49.7
52.3
38. 1067 G-13
132
5.3
7.8
10.3
12.9
15.6
18.3
21.0
23.8
26.7
29.6
32.6
39.
750 G-5
132
31.2
31.9
32.6
33.4
34.2
34.9
35.7
36.6
37.4
38.3
39.1
40.
668 Gharibwal
132
11.5
11.5
11.5
37.6
37.6
37.6
37.6
37.6
37.6
37.6
37.6
41.
899 Gondal
132
18.0
19.0
20.0
21.0
22.0
23.1
24.2
25.3
26.4
27.6
28.8
132
60.0
63.7
67.3
71.1
74.9
65.0
68.7
72.5
76.4
80.4
84.4
42.
49 Gujar khan
43.
727 H-11
132
63.4
63.4
65.3
67.2
69.3
71.3
73.4
75.5
77.7
80.0
82.3
44.
665 HIT/Facto
132
17.2
17.2
17.2
17.2
17.2
17.2
17.2
17.2
17.2
17.2
17.2
64 I-10
132
75.0
76.5
78.0
79.6
81.2
82.8
84.5
86.2
87.9
89.7
91.5
46. 1046 I-16
132
6.9
12.1
14.1
16.1
18.1
20.2
22.3
24.5
26.7
29.0
31.3
47.
132
60.7
62.3
63.7
65.1
66.6
68.1
69.7
71.3
72.9
74.6
76.3
48. 1062 Islamgarh
132
16.5
16.9
17.3
17.7
18.2
18.6
19.0
19.5
19.9
20.4
20.9
49. 1030 JF-17
132
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
50.
132
22.2
23.4
24.5
25.7
26.9
28.1
29.4
30.7
32.0
33.4
34.8
45.
611 I-8
74 Jatli
35
IESCO
LOAD
CENTRE
SUMMARY
DISCO: IESCO
-------------------------------------------------------------------------------------------------------------------------------------|GRID| NAME OF
|
|_______________________________________________Y____E____A____R______________________________________________|
-------------------------------------------------------------------------------------------------------------------------------------51.
77 Jhelum
132
75.7
79.8
83.9
88.1
92.4
48.1
51.5
55.0
58.6
62.3
66.0
52.
89 KRL
132
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
53.
86 KTM
132
76.3
71.0
75.4
79.8
84.4
89.1
93.8
98.7
103.7
108.8
114.1
54.
90 Kahuta City
132
25.1
30.3
21.6
26.9
32.2
37.7
43.3
49.0
54.9
60.9
67.0
55.
981 Kallar Syedan
132
20.9
21.9
22.8
23.8
24.8
25.8
26.8
27.9
28.9
30.0
31.2
132
14.7
14.7
14.7
14.7
14.7
14.7
14.7
14.7
14.7
14.7
14.7
56.
95 Kamra
57.
928 Khui Ratta
132
25.8
26.4
27.0
27.6
28.2
28.8
29.5
30.2
30.9
31.6
32.3
58.
481 Kotli AJK
132
36.3
37.1
38.0
38.9
39.9
40.8
41.8
42.8
43.8
44.8
45.9
59. 1076 MES
132
12.7
37.8
38.7
39.5
40.3
41.2
42.1
43.0
43.9
44.9
45.8
60.
669 Mangla-Left
132
15.6
15.9
16.3
16.7
17.0
17.4
17.8
18.2
18.6
19.1
19.5
61.
126 Mangla-RB AJK
132
8.0
8.2
8.5
8.7
8.9
9.1
9.4
9.6
9.8
10.1
10.3
62.
833 Margalla
132
33.8
36.9
40.0
43.3
46.6
50.0
53.5
57.0
60.7
64.4
68.2
63. 1045 Metal Works
132
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
64. 1071 Metal Works
132
4.1
4.1
4.1
4.1
4.1
4.1
4.1
4.1
4.1
4.1
4.1
65.
594 Mir Pur AJK
132
47.4
48.6
49.7
50.9
52.1
53.3
54.6
55.8
57.2
58.5
59.9
66.
137 Muree
132
29.4
32.5
35.6
38.7
42.0
45.3
48.7
52.2
55.8
59.5
63.2
67.
900 NPF
132
31.8
37.9
44.1
50.5
57.1
63.8
70.6
77.6
84.8
92.1
99.6
68. 1032 New Mir Pur A
132
17.4
17.8
18.2
18.6
19.0
19.4
19.8
20.2
20.7
21.1
21.6
69.
146 New Wah
132
70.2
75.1
57.2
61.8
66.5
71.3
76.2
81.3
86.4
91.7
97.1
70.
147 Nilore
132
26.4
27.4
28.4
29.4
30.5
31.5
32.6
33.8
34.9
36.1
37.3
71.
177 Old Rawat
132
46.9
49.3
45.3
46.8
48.5
50.1
51.8
53.6
55.3
57.2
59.0
72.
791 Padshahan
132
21.6
23.3
25.0
26.8
28.6
20.2
21.8
23.5
25.3
27.1
28.9
73.
921 Pak Cement
132
43.3
43.3
43.3
43.3
43.3
43.3
43.3
43.3
43.3
43.3
43.3
74.
433 Pirwadhai
132
70.2
72.7
75.2
77.7
80.4
83.0
85.8
88.6
91.5
94.4
97.4
75. 1223 Prop Al Ghura
132
0.0
0.0
0.0
3.0
6.0
9.1
12.2
15.5
18.7
22.1
25.5
36
IESCO
LOAD
CENTRE
SUMMARY
DISCO: IESCO
-------------------------------------------------------------------------------------------------------------------------------------|GRID| NAME OF
|
|_______________________________________________Y____E____A____R_____________________________________ _________|
-------------------------------------------------------------------------------------------------------------------------------------76. 1224 Prop Al Hamra 132
0.0
0.0
0.0
0.0
0.0
2.1
4.2
6.4
8.6
10.8
13.1
77. 1213 Prop Anchorag
132
0.0
0.0
0.0
0.0
2.0
4.0
6.1
8.2
10.4
12.6
14.9
78. 1237 Prop Asian Pr
132
0.0
0.0
12.0
35.0
35.0
35.0
35.0
35.0
35.0
35.0
35.0
79. 1208 Prop B.Enclav
132
0.0
0.0
0.0
0.0
3.0
6.0
9.1
12.3
15.5
18.8
22.2
80. 1205 Prop Bahtermo
132
0.0
0.0
24.0
25.5
27.1
28.7
30.3
32.0
33.7
35.4
37.2
81. 1221 Prop Barite M
132
0.0
0.0
2.0
4.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
82. 1230 Prop Burhan
132
0.0
0.0
0.0
0.0
0.0
6.5
6.6
6.7
6.8
6.9
7.0
83. 1207 Prop Chakri R
132
0.0
0.0
0.0
1.0
2.0
3.0
4.1
5.2
6.3
7.4
8.5
84. 1218 Prop D.S.Bila
132
0.0
0.0
0.0
0.0
0.0
30.6
33.4
36.4
39.4
42.4
45.6
85. 1234 Prop DHA Vall
132
0.0
0.0
0.0
3.5
7.0
10.6
14.3
18.1
21.9
25.9
29.9
86. 1201 Prop DHA-I
132
0.0
0.0
0.0
0.0
0.9
2.3
3.2
4.1
5.1
6.0
7.0
87. 1227 Prop E-16(CDE
132
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.5
3.0
4.5
88. 1222 Prop Emaar
132
0.0
0.0
0.0
0.0
3.0
6.0
9.1
12.2
15.5
18.8
22.2
89. 1216 Prop F-16(J&K
132
0.0
6.8
8.4
10.0
11.6
13.3
15.0
16.8
18.6
20.4
22.3
90. 1215 Prop F-9(Cent
132
0.0
0.0
6.3
10.4
14.5
18.7
23.0
27.3
31.8
36.3
40.8
91. 1235 Prop FJWU
132
0.0
0.0
0.0
0.0
2.5
5.0
7.5
10.0
12.5
15.0
17.5
92. 1202 Prop Gangal
132
0.0
0.0
21.7
24.2
26.7
29.2
31.8
34.4
37.1
39.9
42.7
93. 1229 Prop Ghurgush
132
0.0
0.0
0.0
0.0
0.0
18.3
18.7
19.2
19.7
20.1
20.6
94. 1225 Prop Golf Cit
132
0.0
0.0
0.0
0.0
4.1
8.4
12.7
17.1
21.7
24.6
25.2
95. 1220 Prop IB H/S
132
0.0
0.0
0.0
3.0
6.0
9.1
12.2
15.5
18.8
22.1
25.6
96. 1211 Prop Jand
132
0.0
0.0
0.0
0.0
0.0
22.0
24.0
26.0
28.1
30.2
32.4
97. 1206 Prop Jhelum C
132
0.0
0.0
0.0
0.0
0.0
31.9
32.6
33.3
34.1
34.8
35.6
98. 1236 Prop Karot
132
0.0
1.8
4.5
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
99. 1228 Prop Khan Pur
132
0.0
0.0
0.0
0.0
0.0
10.3
10.6
10.9
11.1
11.4
11.7
100. 1214 Prop LakarMar
132
0.0
0.0
0.0
0.0
0.0
20.1
21.8
23.6
25.4
27.3
29.2
37
IESCO
LOAD
CENTRE
SUMMARY
DISCO: IESCO
-------------------------------------------------------------------------------------------------------------------------------------|GRID| NAME OF
|
|_______________________________________________Y____E____A____R_____________________________________ _________|
---------------------------------------------------------------------------------------------------------------------------- ---------101. 1209 Prop NBBIA
132
0.0
0.0
5.0
10.0
15.0
20.0
20.0
20.0
20.0
20.0
20.0
102. 1212 Prop New GHQ
132
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.8
17.0
25.3
33.5
103. 1210 Prop NustH-12
132
0.0
2.2
4.1
6.0
8.0
9.9
11.8
13.8
13.8
13.9
13.9
104. 1232 Prop Rawat
132
0.0
0.0
0.0
0.0
0.0
39.0
40.5
42.0
43.6
45.2
46.9
105. 1219 Prop Sanghoi
132
0.0
0.0
0.0
0.0
0.0
16.8
17.2
17.6
18.0
18.5
18.9
106. 1231 Prop Sangjani
132
0.0
0.0
0.0
2.1
35.2
40.2
45.4
50.7
56.1
61.6
67.2
107. 1226 Prop Sohawa
132
0.0
0.0
0.0
0.0
0.0
13.8
14.1
14.4
14.7
15.1
15.4
108. 1217 Prop Tamman
132
0.0
0.0
0.0
0.0
0.0
31.0
34.2
37.5
40.9
44.4
48.0
109. 1233 Prop Uni (B.k
132
0.0
0.0
0.0
0.0
0.0
64.0
68.0
72.1
76.3
80.7
85.1
110.
470 Rajjar
132
37.1
39.2
41.3
43.6
45.8
48.1
50.5
53.0
55.5
58.0
60.6
111.
174 Rawal
132
61.4
64.5
68.8
73.1
77.6
82.1
84.2
86.4
88.7
91.0
93.3
112.
484 Rawala Kot
132
17.4
17.8
18.2
18.6
19.0
19.5
19.9
20.4
20.9
21.4
21.8
113.
179 Rwp Cantt
132
63.8
49.7
52.0
54.3
56.6
59.0
61.5
64.0
66.5
69.2
71.8
114.
189 Sanjwal
132
23.1
29.6
33.4
37.2
41.1
45.1
49.2
53.4
57.7
62.1
66.6
115.
958 Satellite Tow
132
75.6
77.5
79.5
81.5
83.6
85.7
87.9
90.1
92.4
94.7
97.1
116.
874 Soan Camp
132
40.2
43.1
45.2
47.4
49.7
51.9
54.3
56.7
59.1
61.6
64.2
117.
864 Taimoor Shahe
132
48.0
57.9
59.4
60.9
62.5
64.1
65.7
67.4
69.1
70.8
72.6
118. 1024 Talagang
132
33.0
36.6
40.3
44.1
47.9
51.9
56.0
60.2
64.4
68.8
73.3
119.
132
8.3
8.4
8.6
8.8
9.0
9.2
9.4
9.6
9.8
10.0
10.2
120. 1049 Tarnol
132
8.3
13.4
18.6
23.9
29.4
35.0
40.6
46.5
52.4
58.5
64.7
121.
212 Taxila
132
42.8
45.7
48.6
51.5
54.6
57.7
60.9
64.1
67.4
70.8
74.3
122. 1055 Tramri
132
21.2
23.0
24.8
26.7
28.6
30.6
32.6
34.6
36.8
38.9
41.1
123.
734 Wah 14
132
22.4
22.4
22.4
22.4
22.4
22.4
22.4
22.4
22.4
22.4
22.4
124.
662 Wah 5
132
21.0
21.0
21.0
21.0
21.0
21.0
21.0
21.0
21.0
21.0
21.0
125.
663 Wah 6
132
22.8
22.8
22.8
22.8
22.8
22.8
22.8
22.8
22.8
22.8
22.8
870 Tarar Khal
38
IESCO
LOAD
CENTRE
SUMMARY
DISCO: IESCO
-------------------------------------------------------------------------------------------------------------------------------------|GRID| NAME OF
|
|_______________________________________________Y____E____A____R______________________________________________|
-------------------------------------------------------------------------------------------------------------------------------------126. 223 Zero Point
132
62.9
65.3
67.6
69.9
72.3
74.7
77.2
79.7
82.3
85.0
87.7
127.
631 Ahmadal
66
9.0
9.8
10.7
11.5
12.4
13.3
14.2
15.1
16.1
17.1
18.1
128.
259 D.S.Bilawal
66
17.0
19.8
22.4
25.0
27.8
0.0
0.0
0.0
0.0
0.0
0.0
129.
290 Dandot
66
20.0
21.0
22.1
23.1
24.2
25.3
26.5
27.6
28.8
30.0
31.3
130.
294 Jand
66
12.8
16.0
19.3
22.6
26.1
7.6
9.3
10.9
12.6
14.4
16.2
131.
521 Lakar Mar
66
12.1
13.6
15.2
16.8
18.4
0.0
0.0
0.0
0.0
0.0
0.0
132.
597 N.P.Sethi
66
13.0
16.6
20.0
23.5
27.0
30.7
34.4
38.3
42.2
46.2
50.3
133.
582 Pinanwal
66
15.3
16.4
17.4
18.5
19.6
20.8
21.9
23.1
24.4
25.6
26.9
134.
432 Pindi Gheb
66
13.0
13.8
14.7
15.5
16.4
17.3
18.2
19.2
20.1
21.1
22.1
135.
722 Tamman
66
15.8
18.7
21.7
24.7
27.8
0.0
0.0
0.0
0.0
0.0
0.0
136. 1033 Fatehpur
33
6.3
6.4
6.6
6.7
6.9
7.0
7.2
7.4
7.5
7.7
7.9
137.
486 Hajeera AJK
33
17.7
18.1
18.5
18.9
19.4
19.8
20.2
20.7
21.1
21.6
22.1
138.
794 Minhasa
33
12.2
12.5
12.9
13.2
13.5
13.8
14.2
14.5
14.9
15.3
15.6
139.
945 Mong AJK
33
5.6
5.7
5.8
6.0
6.1
6.2
6.4
6.5
6.7
6.8
7.0
140.
485 Plandri AJK
33
7.7
7.9
8.1
8.3
8.5
8.7
8.9
9.1
9.3
9.5
9.8
-----------------------------------------------------------------------------------------------------------------Total L.C. 2841.9
3018.8
3208.4
3460.4
3670.2
3884.7
4097.0
4322.7
4552.2
4785.7
5020.9
39
IESCO
Table 1- 18: 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: IESCO
Year:- 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. 661
132kV ARL
GWh
0.00
0.00
0.00
0.00
9.28
0.00
0.00
0.00
9.28
0.90
MW
0.00
0.00
0.00
0.00
4.18
0.00
0.00
0.00
4.18
2.00
2. 1043
132kV AWC
GWh
0.00
0.00
0.00
0.00
13.27
0.00
0.00
0.00
13.27
0.90
MW
0.00
0.00
0.00
0.00
6.56
0.00
0.00
0.00
6.56
3.00
3. 1091
132kV Adyala Rd
GWh
209.11
15.66
0.59
1.12
5.11
0.71
0.00
0.00
232.30
0.90
MW
42.85
3.58
0.23
0.30
4.77
0.16
0.00
0.00
46.70
23.00
4. 631
66kV Ahmadal
GWh
57.73
4.66
0.00
0.78
0.35
0.20
0.00
0.00
63.72
0.90
MW
17.81
1.77
0.00
0.21
0.22
0.05
0.00
0.00
18.06
9.00
5. 751
132kV Attock
GWh
121.00
18.71
0.41
1.27
53.41
2.64
0.00
0.00
197.45
0.86
MW
27.63
5.34
0.16
0.34
10.45
0.60
0.00
0.00
40.06
24.00
6. 1042
132kV Bagh
GWh
74.34
12.95
0.00
9.79
8.79
0.00
0.00
0.00
105.87
0.89
MW
16.97
3.29
0.00
2.61
0.00
0.00
0.00
0.00
20.58
11.00
7. 904
132kV Bahria Town-4
GWh
84.16
0.00
0.00
0.00
0.00
0.00
0.00
0.00
84.16
0.90
MW
26.69
0.00
0.00
0.00
0.00
0.00
0.00
0.00
24.02
12.00
8. 1038
220kV Bahria Town-8
GWh
66.48
0.00
0.00
0.00
0.00
0.00
0.00
0.00
66.48
0.90
MW
14.60
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13.14
6.00
9.
10
132kV Bakra Mandi
GWh
412.05
40.77
3.51
2.97
3.47
0.00
0.00
0.00
462.77
0.90
MW
78.40
9.31
1.34
0.79
7.19
0.00
0.00
0.00
87.32
42.00
10. 630
132kV Baragowa
GWh
53.78
2.53
0.00
0.16
0.72
0.46
0.00
0.00
57.65
0.90
MW
14.97
0.96
0.00
0.04
0.36
0.11
0.00
0.00
14.80
7.00
11. 1039
132kV Basal
GWh
91.10
7.17
0.00
2.82
0.63
1.87
0.00
0.00
103.57
0.90
MW
52.00
4.09
0.00
0.75
0.84
0.43
0.00
0.00
52.29
25.00
12. 920
132kV Bestway Cement GWh
0.00
0.00
0.00
0.00
196.70
0.00
0.00
0.00
196.70
0.90
MW
0.00
0.00
0.00
0.00
31.59
0.00
0.00
0.00
31.59
15.00
13. 643
132kV Bhagwal/Neela
GWh
81.17
8.86
0.00
0.23
78.20
4.36
0.00
0.00
172.83
0.87
MW
26.47
3.37
0.00
0.06
9.36
1.00
0.00
0.00
36.24
21.00
14. 246
132kV C.S.Shah
GWh
65.73
7.64
0.13
2.08
12.64
9.37
0.00
0.00
97.59
0.89
MW
20.84
2.91
0.05
0.55
3.32
2.14
0.00
0.00
26.83
14.00
15. 817
132kV CDA P/Station
GWh
0.00
0.00
0.00
0.00
23.27
0.00
0.00
0.00
23.27
0.90
MW
0.00
0.00
0.00
0.00
4.61
0.00
0.00
0.00
4.61
2.00
16. 1037
132kV Chaintt Bhattia GWh
14.59
0.79
0.00
0.00
0.00
0.00
0.00
0.00
15.38
0.90
MW
6.17
0.45
0.00
0.00
0.00
0.00
0.00
0.00
5.96
3.00
17. 482
132kV Chak Sawari AJ GWh
69.51
12.11
0.00
9.15
8.22
0.00
0.00
0.00
98.99
0.89
MW
14.97
3.07
0.00
2.44
0.00
0.00
0.00
0.00
18.43
9.00
18.
25
132kV Chaklala
GWh
446.99
70.34
6.63
6.47
25.62
0.00
0.00
0.00
556.05
0.90
MW
102.05
20.08
2.52
1.72
7.81
0.00
0.00
0.00
120.76
58.00
19. 968
132kV Chakri
GWh
77.15
5.86
0.07
2.97
16.52
2.23
0.00
0.00
104.81
0.90
MW
25.90
2.91
0.03
0.79
4.02
0.51
0.00
0.00
30.74
15.00
20.
22
132kV Chakwal
GWh
266.00
35.08
0.30
4.01
196.43
16.25
0.00
0.00
518.07
0.87
MW
67.48
11.44
0.11
1.07
26.23
3.71
0.00
0.00
99.04
56.00
21. 913
132kV Chattar Pari
GWh
41.61
7.25
0.00
5.48
4.92
0.00
0.00
0.00
59.27
0.89
MW
8.80
1.84
0.00
1.46
3.12
0.00
0.00
0.00
13.69
7.00
22. 1040
132kV D-12
GWh
53.49
8.52
0.72
0.57
0.07
0.06
0.00
0.00
63.43
0.90
MW
32.14
6.48
0.27
0.15
0.02
0.01
0.00
0.00
35.17
17.00
23. 1063
132kV DESTO
GWh
0.00
0.00
0.00
0.00
1.54
0.00
0.00
0.00
1.54
0.90
MW
0.00
0.00
0.00
0.00
3.11
0.00
0.00
0.00
3.11
2.00
24. 939
132kV DGK Cement
GWh
0.00
0.00
0.00
0.00
59.09
0.00
0.00
0.00
59.09
0.90
MW
0.00
0.00
0.00
0.00
22.55
0.00
0.00
0.00
22.55
11.00
25. 997
132kV DHA-II
GWh
98.92
2.83
1.38
0.40
0.00
0.00
0.00
0.00
103.52
0.90
MW
20.53
1.08
0.52
0.11
0.00
0.00
0.00
0.00
20.01
10.00
40
IESCO
P O W E R
M A R K E T
S U R V E Y
DISCO: IESCO
------------------------------------------------------------------------------------------------------------------------------------------------------------------|SR GRID
NAME OF
|
|
| PUBLIC
|
SMALL
|
M & L
|
TUBE WELLS
|
------------------------------------------------------------------------------------------------------------------------------------------------------------------26. 290
66kV Dandot
GWh
100.01
9.44
0.02
0.60
18.32
3.31
0.00
0.00
131.70
0.90
MW
25.95
3.08
0.01
0.16
4.82
0.76
0.00
0.00
31.29
15.00
27. 667
132kV Dandot Cement
GWh
0.00
0.00
0.00
0.00
32.15
0.00
0.00
0.00
32.15
0.90
MW
0.00
0.00
0.00
0.00
7.61
0.00
0.00
0.00
7.61
4.00
28. 911
132kV Dhudyal
GWh
105.92
18.45
0.00
13.95
12.53
0.00
0.00
0.00
150.85
0.89
MW
22.39
4.68
0.00
3.72
0.00
0.00
0.00
0.00
27.71
14.00
29. 468
132kV Dina
GWh
130.89
13.44
0.12
9.16
6.67
3.76
0.00
0.00
164.05
0.89
MW
37.36
5.11
0.05
2.44
2.01
0.86
0.00
0.00
43.04
22.00
30. 755
132kV E-8
GWh
108.14
38.75
0.69
0.86
1.76
0.39
0.00
0.00
150.58
0.90
MW
28.06
12.64
0.26
0.23
11.63
0.09
0.00
0.00
47.61
23.00
31. 692
132kV F-11
GWh
226.55
56.24
9.18
2.47
1.55
0.28
0.00
0.00
296.27
0.90
MW
58.78
18.34
3.49
0.66
1.10
0.06
0.00
0.00
74.19
36.00
32. 795
132kV FCCL-I
GWh
0.00
0.00
0.00
0.00
135.28
0.00
0.00
0.00
135.28
0.90
MW
0.00
0.00
0.00
0.00
27.03
0.00
0.00
0.00
27.03
13.00
33. 1023
132kV FCCL-II
GWh
0.00
0.00
0.00
0.00
108.93
0.00
0.00
0.00
108.93
0.90
MW
0.00
0.00
0.00
0.00
36.20
0.00
0.00
0.00
36.20
18.00
34. 120
132kV Faqirabad
GWh
116.86
15.64
0.29
3.71
21.78
5.95
0.00
0.00
164.23
0.89
MW
41.69
7.44
0.11
0.99
7.42
1.36
0.00
0.00
53.10
27.00
35. 272
132kV Fateh Jhang
GWh
134.85
16.27
0.21
3.76
14.21
5.91
0.00
0.00
175.22
0.89
MW
43.98
6.19
0.08
1.00
5.56
1.35
0.00
0.00
52.35
27.00
36. 1033
33kV Fatehpur
GWh
31.01
5.40
0.00
4.08
3.67
0.00
0.00
0.00
44.17
0.89
MW
6.32
1.37
0.00
1.09
0.00
0.00
0.00
0.00
7.90
4.00
37. 1067
132kV G-13
GWh
63.58
24.91
0.15
0.00
0.00
0.00
0.00
0.00
88.65
0.90
MW
21.99
14.22
0.06
0.00
0.00
0.00
0.00
0.00
32.64
16.00
38. 750
132kV G-5
GWh
97.60
57.79
0.00
0.12
0.22
0.57
0.00
0.00
156.29
0.90
MW
21.43
16.49
0.00
0.03
5.39
0.13
0.00
0.00
39.13
19.00
39. 668
132kV Gharibwal
GWh
0.00
0.00
0.00
0.00
163.05
0.00
0.00
0.00
163.05
0.90
MW
0.00
0.00
0.00
0.00
37.65
0.00
0.00
0.00
37.65
18.00
40. 899
132kV Gondal
GWh
84.90
7.24
0.00
2.36
3.92
22.47
0.00
0.00
120.89
0.88
MW
21.54
2.36
0.00
0.63
2.37
5.13
0.00
0.00
28.83
16.00
41.
49
132kV Gujar khan
GWh
240.38
24.19
0.56
10.98
62.31
11.74
0.00
0.00
350.15
0.89
MW
70.36
9.20
0.21
2.92
8.44
2.68
0.00
0.00
84.44
43.00
42. 727
132kV H-11
GWh
228.44
82.59
10.93
1.86
40.07
0.20
0.00
0.00
364.10
0.90
MW
46.57
20.95
4.16
0.50
19.17
0.05
0.00
0.00
82.25
40.00
43. 665
132kV HIT/Facto
GWh
0.00
0.00
0.00
0.00
95.52
0.00
0.00
0.00
95.52
0.90
MW
0.00
0.00
0.00
0.00
17.17
0.00
0.00
0.00
17.17
8.00
44. 486
33kV Hajeera AJK
GWh
80.17
13.97
0.00
10.56
9.48
0.00
0.00
0.00
114.17
0.89
MW
15.25
3.19
0.00
2.81
3.32
0.00
0.00
0.00
22.11
11.00
45.
64
132kV I-10
GWh
131.14
70.32
3.53
2.86
220.75
1.02
0.00
0.00
429.61
0.88
MW
33.27
22.94
1.34
0.76
43.14
0.23
0.00
0.00
91.51
49.00
46. 1046
132kV I-16
GWh
25.57
5.22
0.00
0.05
53.49
0.02
0.00
0.00
84.35
0.88
MW
22.46
5.96
0.00
0.01
6.30
0.01
0.00
0.00
31.26
17.00
47. 611
132kV I-8
GWh
216.45
60.58
11.17
0.94
42.88
6.21
0.00
0.00
338.23
0.90
MW
48.45
15.37
4.25
0.25
15.02
1.42
0.00
0.00
76.28
37.00
48. 1062
132kV Islamgarh
GWh
58.86
10.25
0.00
7.75
6.96
0.00
0.00
0.00
83.82
0.89
MW
17.23
3.90
0.00
2.06
0.00
0.00
0.00
0.00
20.87
11.00
49. 1030
132kV JF-17
GWh
0.00
0.00
0.00
0.00
12.44
0.00
0.00
0.00
12.44
0.90
MW
0.00
0.00
0.00
0.00
9.87
0.00
0.00
0.00
9.87
5.00
50. 294
66kV Jand
GWh
49.91
4.15
0.00
0.39
0.00
0.17
0.00
0.00
54.62
0.90
MW
16.28
1.58
0.00
0.10
0.00
0.04
0.00
0.00
16.20
8.00
41
IESCO
P O W E R
M A R K E T
S U R V E Y
DISCO: IESCO
------------------------------------------------------------------------------------------------------------------------------------------------------------------|SR GRID
NAME OF
|
|
| PUBLIC
|
SMALL
|
M & L
|
TUBE WELLS
|
------------------------------------------------------------------------------------------------------------------------------------------------------------------51.
74
132kV Jatli
GWh
105.41
6.70
0.00
3.29
1.03
0.35
0.00
0.00
116.79
0.90
MW
34.38
2.64
0.00
0.88
0.64
0.08
0.00
0.00
34.75
17.00
52.
77
132kV Jhelum
GWh
194.59
28.19
0.63
22.44
26.82
9.70
0.00
0.00
282.36
0.89
MW
55.53
9.19
0.24
5.98
0.20
2.21
0.00
0.00
66.02
34.00
53.
89
132kV KRL
GWh
0.00
0.00
0.00
0.00
41.84
0.00
0.00
0.00
41.84
0.90
MW
0.00
0.00
0.00
0.00
15.13
0.00
0.00
0.00
15.13
7.00
54.
86
132kV KTM
GWh
395.19
45.84
4.03
3.14
67.01
0.20
0.00
0.00
515.41
0.90
MW
100.25
13.08
1.53
0.84
11.02
0.05
0.00
0.00
114.09
55.00
55.
90
132kV Kahuta City
GWh
219.03
16.32
-0.36
0.65
17.76
0.04
0.00
0.00
253.44
0.90
MW
65.80
6.21
-0.14
0.17
2.44
0.01
0.00
0.00
67.05
32.00
56. 981
132kV Kallar Syedan
GWh
103.53
10.33
0.03
0.97
0.27
0.07
0.00
0.00
115.20
0.90
MW
30.30
3.69
0.01
0.26
0.36
0.02
0.00
0.00
31.18
15.00
57.
95
132kV Kamra
GWh
0.00
0.00
0.00
0.00
51.71
0.00
0.00
0.00
51.71
0.90
MW
0.00
0.00
0.00
0.00
14.67
0.00
0.00
0.00
14.67
7.00
58. 928
132kV Khui Ratta
GWh
111.53
19.43
0.00
14.69
13.19
0.00
0.00
0.00
158.84
0.89
MW
23.15
4.44
0.00
3.91
4.35
0.00
0.00
0.00
32.27
17.00
59. 481
132kV Kotli AJK
GWh
220.48
38.41
0.00
29.04
26.07
0.00
0.00
0.00
314.00
0.89
MW
35.96
7.31
0.00
7.74
0.00
0.00
0.00
0.00
45.90
24.00
60. 1076
132kV MES
GWh
115.58
39.42
1.64
0.73
3.85
0.00
0.00
0.00
161.22
0.90
MW
31.23
14.88
0.62
0.19
4.00
0.00
0.00
0.00
45.84
22.00
61. 669
132kV Mangla-Left
GWh
75.90
9.51
0.00
6.91
8.51
0.00
0.00
0.00
100.82
0.89
MW
14.44
2.17
0.00
1.84
3.20
0.00
0.00
0.00
19.49
10.00
62. 126
132kV Mangla-RB AJK
GWh
54.11
0.91
0.02
0.05
0.00
0.00
0.00
0.00
55.09
0.90
MW
11.23
0.25
0.01
0.01
0.00
0.00
0.00
0.00
10.35
5.00
63. 833
132kV Margalla
GWh
227.05
25.67
0.87
2.85
41.27
9.25
0.00
0.00
306.95
0.90
MW
51.84
6.66
0.33
0.76
14.09
2.11
0.00
0.00
68.21
33.00
64. 1045
132kV Metal Works
GWh
0.00
0.00
0.00
0.00
17.46
0.00
0.00
0.00
17.46
0.90
MW
0.00
0.00
0.00
0.00
6.23
0.00
0.00
0.00
6.23
3.00
65. 1071
132kV Metal Works
GWh
0.00
0.00
0.00
0.00
9.69
0.00
0.00
0.00
9.69
0.90
MW
0.00
0.00
0.00
0.00
4.06
0.00
0.00
0.00
4.06
2.00
66. 794
33kV Minhasa
GWh
55.09
6.84
0.00
4.56
4.09
0.00
0.00
0.00
70.58
0.89
MW
13.67
2.17
0.00
1.21
0.31
0.00
0.00
0.00
15.63
8.00
67. 594
132kV Mir Pur AJK
GWh
212.57
37.03
0.00
28.00
25.14
0.00
0.00
0.00
302.74
0.89
MW
48.53
10.57
0.00
7.46
0.00
0.00
0.00
0.00
59.90
31.00
68. 945
33kV Mong AJK
GWh
26.30
4.58
0.00
3.46
3.11
0.00
0.00
0.00
37.45
0.89
MW
5.56
1.31
0.00
0.92
0.00
0.00
0.00
0.00
7.01
4.00
69. 137
132kV Muree
GWh
195.75
31.83
0.73
0.45
2.49
0.14
0.00
0.00
231.40
0.90
MW
55.87
10.38
0.28
0.12
3.56
0.03
0.00
0.00
63.22
31.00
70. 597
66kV N.P.Sethi
GWh
139.98
15.78
0.00
2.08
26.57
2.32
0.00
0.00
186.73
0.90
MW
44.39
6.01
0.00
0.55
4.38
0.53
0.00
0.00
50.27
24.00
71. 900
132kV NPF
GWh
236.42
41.97
2.81
3.65
2.22
2.72
0.00
0.00
289.79
0.90
MW
87.06
19.16
1.07
0.97
1.81
0.62
0.00
0.00
99.63
48.00
72. 1032
132kV New Mir Pur AJK GWh
55.33
9.64
0.00
7.29
6.54
0.00
0.00
0.00
78.79
0.89
MW
14.03
3.06
0.00
1.94
4.95
0.00
0.00
0.00
21.58
11.00
73. 146
132kV New Wah
GWh
250.48
29.67
0.16
1.36
61.21
7.54
0.00
0.00
350.41
0.90
MW
73.32
11.29
0.06
0.36
21.19
1.72
0.00
0.00
97.15
47.00
74. 147
132kV Nilore
GWh
127.46
10.35
0.00
1.71
2.92
1.77
0.00
0.00
144.20
0.90
MW
32.33
3.94
0.00
0.46
4.31
0.40
0.00
0.00
37.30
18.00
75. 177
132kV Old Rawat
GWh
110.56
22.52
0.02
4.79
83.98
0.07
0.00
0.00
221.94
0.87
MW
34.11
8.29
0.01
1.28
21.86
0.02
0.00
0.00
59.01
33.00
42
IESCO
P O W E R
M A R K E T
S U R V E Y
DISCO: IESCO
------------------------------------------------------------------------------------------------------------------------------------------------------------------|SR GRID
NAME OF
|
|
| PUBLIC
|
SMALL
|
M & L
|
TUBE WELLS
|
------------------------------------------------------------------------------------------------------------------------------------------------------------------76. 791
132kV Padshahan
GWh
88.32
7.44
0.00
4.70
28.06
1.58
0.00
0.00
130.10
0.86
MW
25.21
2.43
0.00
1.25
2.86
0.36
0.00
0.00
28.90
17.00
77. 921
132kV Pak Cement
GWh
0.00
0.00
0.00
0.00
178.09
0.00
0.00
0.00
178.09
0.90
MW
0.00
0.00
0.00
0.00
43.35
0.00
0.00
0.00
43.35
21.00
78. 582
66kV Pinanwal
GWh
89.80
6.50
0.00
0.49
4.45
2.20
0.00
0.00
103.43
0.90
MW
25.63
2.12
0.00
0.13
1.50
0.50
0.00
0.00
26.89
13.00
79. 432
66kV Pindi Gheb
GWh
85.68
8.46
0.27
1.79
4.70
2.88
0.00
0.00
103.78
0.90
MW
19.56
2.41
0.10
0.48
1.39
0.66
0.00
0.00
22.14
11.00
80. 433
132kV Pirwadhai
GWh
328.19
58.72
6.24
10.65
62.20
2.78
0.00
0.00
468.77
0.90
MW
74.93
16.76
2.37
2.84
10.68
0.63
0.00
0.00
97.39
47.00
81. 485
33kV Plandri AJK
GWh
38.31
6.67
0.00
5.05
4.53
0.00
0.00
0.00
54.56
0.89
MW
7.54
1.52
0.00
1.34
0.43
0.00
0.00
0.00
9.75
5.00
82. 1223
132kV Prop Al Ghurair GWh
45.26
24.45
0.00
0.00
0.00
0.00
0.00
0.00
69.71
0.90
MW
17.22
11.16
0.00
0.00
0.00
0.00
0.00
0.00
25.55
12.00
83. 1224
132kV Prop Al Hamra
GWh
27.58
9.01
0.00
0.00
0.00
0.00
0.00
0.00
36.59
0.90
MW
10.49
4.11
0.00
0.00
0.00
0.00
0.00
0.00
13.15
6.00
84. 1213
132kV Prop Anchorage GWh
50.69
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.69
0.90
MW
16.53
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14.88
7.00
85. 1237
132kV Prop Asian Prec GWh
0.00
0.00
0.00
0.00
153.30
0.00
0.00
0.00
153.30
0.90
MW
0.00
0.00
0.00
0.00
35.00
0.00
0.00
0.00
35.00
17.00
86. 1208
132kV Prop B.Enclave GWh
54.31
12.37
0.00
0.00
0.00
0.00
0.00
0.00
66.68
0.90
MW
20.67
4.03
0.00
0.00
0.00
0.00
0.00
0.00
22.23
11.00
87. 1205
132kV Prop Bahtermore GWh
103.67
16.31
0.22
0.68
8.06
4.16
0.00
0.00
133.10
0.90
MW
29.00
8.25
0.08
0.18
2.88
0.95
0.00
0.00
37.22
18.00
88. 1221
132kV Prop Barite Min GWh
0.00
0.00
0.00
0.00
15.33
0.00
0.00
0.00
15.33
0.90
MW
0.00
0.00
0.00
0.00
5.00
0.00
0.00
0.00
5.00
2.00
89. 1230
132kV Prop Burhan
GWh
0.54
1.13
0.00
0.00
51.11
0.00
0.00
0.00
52.78
0.90
MW
0.14
0.43
0.00
0.00
7.24
0.00
0.00
0.00
7.02
3.00
90. 1207
132kV Prop Chakri Rd GWh
17.60
6.11
0.00
0.00
0.00
0.00
0.00
0.00
23.71
0.90
MW
6.70
2.79
0.00
0.00
0.00
0.00
0.00
0.00
8.54
4.00
91. 1218
132kV Prop D.S.Bilawa GWh
121.12
8.26
0.00
1.12
0.44
18.72
0.00
0.00
149.67
0.89
MW
41.90
3.77
0.00
0.30
0.43
4.27
0.00
0.00
45.60
23.00
92. 1234
132kV Prop DHA Valley GWh
62.87
20.37
0.00
0.00
0.00
0.00
0.00
0.00
83.24
0.90
MW
23.92
9.30
0.00
0.00
0.00
0.00
0.00
0.00
29.90
14.00
93. 1201
132kV Prop DHA-I
GWh
22.92
4.24
0.00
0.00
0.00
0.00
0.00
0.00
27.17
0.90
MW
6.20
1.61
0.00
0.00
0.00
0.00
0.00
0.00
7.03
3.00
94. 1227
132kV Prop E-16(CDECH GWh
7.97
4.39
0.00
0.00
0.00
0.00
0.00
0.00
12.36
0.90
MW
3.03
2.01
0.00
0.00
0.00
0.00
0.00
0.00
4.53
2.00
95. 1222
132kV Prop Emaar
GWh
45.62
15.90
0.00
0.00
0.00
0.00
0.00
0.00
61.53
0.90
MW
17.36
7.26
0.00
0.00
0.00
0.00
0.00
0.00
22.16
11.00
96. 1216
132kV Prop F-16(J&K H GWh
40.10
19.87
0.21
5.98
3.40
0.01
0.00
0.00
69.57
0.89
MW
13.85
7.67
0.08
1.59
1.57
0.00
0.00
0.00
22.29
11.00
97. 1215
132kV Prop F-9(Centar GWh
12.21
110.96
0.00
0.00
0.00
0.00
0.00
0.00
123.16
0.90
MW
3.17
42.22
0.00
0.00
0.00
0.00
0.00
0.00
40.85
20.00
98. 1235
132kV Prop FJWU
GWh
53.66
0.00
0.00
0.00
0.00
0.00
0.00
0.00
53.66
0.90
MW
17.50
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17.50
8.00
99. 1202
132kV Prop Gangal
GWh
118.60
25.76
0.49
2.90
4.57
1.79
0.00
0.00
154.11
0.90
MW
33.06
9.79
0.19
0.77
3.27
0.41
0.00
0.00
42.73
21.00
100. 1229
132kV Prop Ghurgushti GWh
48.75
5.41
0.13
1.97
2.65
5.33
0.00
0.00
64.24
0.89
MW
17.39
2.57
0.05
0.53
1.15
1.22
0.00
0.00
20.61
11.00
43
IESCO
P O W E R
M A R K E T
S U R V E Y
DISCO: IESCO
------------------------------------------------------------------------------------------------------------------------------------------------------------------|SR GRID
NAME OF
|
|
| PUBLIC
|
SMALL
|
M & L
|
TUBE WELLS
|
------------------------------------------------------------------------------------------------------------------------------------------------------------------101. 1225
132kV Prop Golf City GWh
55.06
15.40
0.00
0.00
0.00
0.00
0.00
0.00
70.46
0.90
MW
20.95
7.03
0.00
0.00
0.00
0.00
0.00
0.00
25.19
12.00
102. 1220
132kV Prop IB H/S
GWh
50.29
20.37
0.00
0.00
0.00
0.00
0.00
0.00
70.66
0.90
MW
19.14
9.30
0.00
0.00
0.00
0.00
0.00
0.00
25.60
12.00
103. 1211
132kV Prop Jand
GWh
99.23
8.04
0.13
1.00
0.11
0.80
0.00
0.00
109.31
0.90
MW
32.37
3.06
0.05
0.27
0.09
0.18
0.00
0.00
32.41
16.00
104. 1206
132kV Prop Jhelum Can GWh
92.32
20.98
0.61
0.94
5.84
0.24
0.00
0.00
120.93
0.90
MW
26.35
6.84
0.23
0.25
5.82
0.05
0.00
0.00
35.59
17.00
105. 1236
132kV Prop Karot
GWh
0.00
0.00
0.00
0.00
72.53
0.00
0.00
0.00
72.53
0.90
MW
0.00
0.00
0.00
0.00
16.56
0.00
0.00
0.00
16.56
8.00
106. 1228
132kV Prop Khan Pur
GWh
40.25
2.22
0.00
0.94
0.79
0.58
0.00
0.00
44.77
0.90
MW
11.49
0.72
0.00
0.25
0.36
0.13
0.00
0.00
11.66
6.00
107. 1214
132kV Prop LakarMar
GWh
61.94
2.46
0.00
0.08
0.76
0.03
0.00
0.00
65.27
0.90
MW
30.74
1.41
0.00
0.02
0.24
0.01
0.00
0.00
29.18
14.00
108. 1209
132kV Prop NBBIA
GWh
0.00
52.56
0.00
0.00
0.00
0.00
0.00
0.00
52.56
0.90
MW
0.00
20.00
0.00
0.00
0.00
0.00
0.00
0.00
20.00
10.00
109. 1212
132kV Prop New GHQ
GWh
128.40
0.83
0.00
0.00
0.00
0.00
0.00
0.00
129.23
0.90
MW
33.31
0.27
0.00
0.00
0.00
0.00
0.00
0.00
33.52
16.00
110. 1210
132kV Prop NustH-12
GWh
69.89
0.00
0.00
0.00
0.00
0.00
0.00
0.00
69.89
0.90
MW
14.25
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13.95
7.00
111. 1232
132kV Prop Rawat
GWh
71.21
11.84
0.00
2.56
89.77
1.88
0.00
0.00
177.26
0.87
MW
32.52
6.76
0.00
0.55
14.35
0.34
0.00
0.00
46.88
27.00
112. 1219
132kV Prop Sanghoi
GWh
60.25
4.03
0.00
0.45
2.47
5.27
0.00
0.00
72.48
0.89
MW
17.20
1.32
0.00
0.12
1.20
1.20
0.00
0.00
18.93
10.00
113. 1231
132kV Prop Sangjani
GWh
171.22
48.03
5.11
1.73
30.99
0.77
0.00
0.00
257.86
0.90
MW
42.77
16.77
1.95
0.46
12.60
0.18
0.00
0.00
67.25
33.00
114. 1226
132kV Prop Sohawa
GWh
47.28
6.74
0.01
0.64
0.97
0.00
0.00
0.00
55.63
0.90
MW
13.84
2.56
0.00
0.17
0.58
0.00
0.00
0.00
15.44
7.00
115. 1217
132kV Prop Tamman
GWh
107.28
6.46
0.00
0.64
0.05
2.05
0.00
0.00
116.47
0.90
MW
48.99
3.68
0.00
0.17
0.02
0.47
0.00
0.00
48.00
23.00
116. 1233
132kV Prop Uni (B.kah GWh
310.97
45.87
10.02
2.66
5.00
2.99
0.00
0.00
377.50
0.90
MW
71.00
11.14
3.81
0.71
7.19
0.68
0.00
0.00
85.08
41.00
117. 470
132kV Rajjar
GWh
186.38
16.24
0.15
1.09
1.67
2.85
0.00
0.00
208.38
0.90
MW
59.10
6.18
0.06
0.29
1.08
0.65
0.00
0.00
60.63
29.00
118. 174
132kV Rawal
GWh
215.64
132.38
15.26
2.42
13.55
21.72
0.00
0.00
400.97
0.89
MW
49.23
37.78
5.81
0.65
5.30
4.96
0.00
0.00
93.35
48.00
119. 484
132kV Rawala Kot
GWh
80.12
13.96
0.00
10.55
9.47
0.00
0.00
0.00
114.10
0.89
MW
16.63
3.19
0.00
2.81
1.65
0.00
0.00
0.00
21.85
11.00
120. 179
132kV Rwp Cantt
GWh
203.10
136.98
6.39
5.64
12.78
0.00
0.00
0.00
364.91
0.90
MW
38.64
31.27
2.43
1.50
5.94
0.00
0.00
0.00
71.81
35.00
121. 189
132kV Sanjwal
GWh
195.93
21.80
0.18
1.80
40.47
1.27
0.00
0.00
261.45
0.90
MW
53.25
7.54
0.07
0.48
12.32
0.29
0.00
0.00
66.56
32.00
122. 958
132kV Satellite Town GWh
301.01
88.63
4.76
2.43
1.49
0.00
0.00
0.00
398.32
0.90
MW
79.91
24.68
1.81
0.65
0.79
0.00
0.00
0.00
97.06
47.00
123. 874
132kV Soan Camp
GWh
162.25
34.78
1.23
2.83
110.95
0.00
0.00
0.00
312.04
0.87
MW
36.32
9.93
0.47
0.75
23.82
0.00
0.00
0.00
64.16
36.00
124. 864
132kV Taimoor Shaheed GWh
83.79
89.77
9.31
0.09
7.91
1.41
0.00
0.00
192.28
0.90
MW
39.85
34.16
3.54
0.02
2.76
0.32
0.00
0.00
72.59
35.00
125. 1024
132kV Talagang
GWh
197.19
20.89
0.24
3.76
21.00
12.34
0.00
0.00
255.42
0.89
MW
66.21
8.22
0.09
1.00
3.06
2.82
0.00
0.00
73.26
38.00
44
IESCO
P O W E R
M A R K E T
S U R V E Y
DISCO: IESCO
------------------------------------------------------------------------------------------------------------------------------------------------------------------|SR GRID
NAME OF
|
|
| PUBLIC
|
SMALL
|
M & L
|
TUBE WELLS
|
------------------------------------------------------------------------------------------------------------------------------------------------------------------126. 870
132kV Tarar Khal
GWh
24.40
4.25
0.00
3.21
2.89
0.00
0.00
0.00
34.75
0.89
MW
6.63
1.39
0.00
0.86
2.49
0.00
0.00
0.00
10.23
5.00
127. 1049
132kV Tarnol
GWh
127.36
32.30
8.53
0.16
3.97
0.05
0.00
0.00
172.38
0.90
MW
48.46
18.44
3.25
0.04
1.71
0.01
0.00
0.00
64.72
31.00
128. 212
132kV Taxila
GWh
143.34
13.93
0.26
1.55
62.99
5.91
0.00
0.00
227.98
0.86
MW
49.59
5.89
0.10
0.41
25.25
1.35
0.00
0.00
74.33
44.00
129. 1055
132kV Tramri
GWh
105.01
16.55
0.91
0.31
1.10
0.44
0.00
0.00
124.32
0.90
MW
37.46
6.51
0.35
0.08
1.19
0.10
0.00
0.00
41.12
20.00
130. 734
132kV Wah 14
GWh
0.00
0.00
0.00
0.00
97.53
0.00
0.00
0.00
97.53
0.90
MW
0.00
0.00
0.00
0.00
22.42
0.00
0.00
0.00
22.42
11.00
131. 662
132kV Wah 5
GWh
0.00
0.00
0.00
0.00
30.64
0.00
0.00
0.00
30.64
0.90
MW
0.00
0.00
0.00
0.00
20.99
0.00
0.00
0.00
20.99
10.00
132. 663
132kV Wah 6
GWh
0.00
0.00
0.00
0.00
59.42
0.00
0.00
0.00
59.42
0.90
MW
0.00
0.00
0.00
0.00
22.81
0.00
0.00
0.00
22.81
11.00
133. 223
132kV Zero Point
GWh
358.38
91.95
20.55
3.05
6.76
6.11
0.00
0.00
486.81
0.90
MW
64.94
20.99
7.82
0.81
1.48
1.40
0.00
0.00
87.70
42.00
==============================================================================================================================================================
TOTAL OF DISCO :
GWh 13270.34
2621.29
154.84
360.34
3602.26
244.35
0.00
0.00
20253.41
MW
2946.64
703.67
47.84
77.83
738.44
45.23
0.00
0.00
4142.81
45
IESCO
Figure 1-10: Distribution Network Map
46
IESCO
Disclaimer
All data used in this report are provided by IESCO.
Planning Power, NTDCL does not own any error responsibility.
47

iesco - NTDC

Transcription

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