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Power Market Survey Model SAARC Training Workshop Program “Identification, Comparison and Scenario Based Application of Power Demand/ Load Forecasting Tools”

“Identification, Comparison and Scenario

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Page 1: “Identification, Comparison and Scenario

Power Market Survey Model

SAARC Training Workshop Program“Identification, Comparison and Scenario

Based Application of Power Demand/ Load Forecasting Tools”

Page 2: “Identification, Comparison and Scenario

• It involves applying ‘Per Customer Growth Rates’ and

‘Field Survey’ to find out following future loads:

➢ Industries

➢ Commercial Buildings

➢ Villages

➢ Housing Schemes

➢ Other Load

What Is Power Market Survey Forecasting?

Page 3: “Identification, Comparison and Scenario

• Mainly used for power system analysis

• Provides basis for generation, transmission,

transformation and distribution planning

• Provides technical justification for system expansion

plans

• Project financing arrangements require solid forecast

modeling (as PMS)

Significance and Applications

Page 4: “Identification, Comparison and Scenario

• The model has three interrelated components:

➢ Input Parameters

➢ Calculations

➢ Results

PMS Model Architecture

Page 5: “Identification, Comparison and Scenario

Input Parameters

LossesEnergy

Sale

Peak Demands

Load Managem

ent

Planned/Pending Load

Growth Rates

PMS Inputs

Page 6: “Identification, Comparison and Scenario

Input Parameters...Continued

Energy Sale (GWh)

Domestic

Agriculture Industrial

Commercial

Public Lighting

Page 7: “Identification, Comparison and Scenario

Input Parameters...Continued

Loss

esTransmission Losses

Distribution Losses

T&D Losses Reduction Plan

Page 8: “Identification, Comparison and Scenario

Input Parameters...Continued

Peak Demand (MW)

Substation

Distribution Companies

Country

Page 9: “Identification, Comparison and Scenario

Input Parameters...Continued

Planned/Pending

Load

Pending Applications

List of Proposed Substations (With

commissioning dates and feeder shift arrangement)

Page 10: “Identification, Comparison and Scenario

Input Parameters...Continued

Growth Rate

Last five years number of

customers for each category

Last five years customer class

wise energy sale

Page 11: “Identification, Comparison and Scenario

Input Parameters...Continued

Load Shedding

Page 12: “Identification, Comparison and Scenario

• The load factor is defined as the average load divided

by the peak load in a specified time period.

Load Factor = 𝑇𝑜𝑡𝑎𝑙 𝐸𝑛𝑒𝑟𝑔𝑦 (𝐾𝑊ℎ)

𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑊 ∗ 𝑁𝑜. 𝑜𝑓 𝐻𝑜𝑢𝑟𝑠

Load Factor

Page 13: “Identification, Comparison and Scenario

• Coincidence factor is the ratio of the maximum

demand of the whole system (or part of the system)

under consideration to the sum of the

individual maximum demands of the various

subdivisions of a system.

• Coincidence factor is usually less than 1.

Coincidence Factor = 𝑀𝑎𝑥𝑖𝑚𝑢𝑚 𝐷𝑒𝑚𝑎𝑛𝑑 𝑜𝑓 𝐶𝑜𝑚𝑝𝑎𝑛𝑦 (𝑀𝑊)

𝑆1+𝑆

2+𝑆

3+𝑆

4+⋯ 𝑀𝑊

Coincidence Factor

Page 14: “Identification, Comparison and Scenario

• Diversity factor is the ratio of the sum of the

individual maximum demands of the various

subdivisions of a system to the maximum demand of

the whole system (or part of the system) under

consideration.

• Diversity factor is usually more than one.

Diversity Factor = 𝑆1+𝑆2+𝑆3+𝑆4+⋯(𝑀𝑊)

𝑀𝑎𝑥𝑖𝑚𝑢𝑚𝐷𝑒𝑚𝑎𝑛𝑑 𝑜𝑓 𝐶𝑜𝑚𝑝𝑎𝑛𝑦 (𝑀𝑊)

Diversity Factor

Page 15: “Identification, Comparison and Scenario

Calculations

Load Factor

• Calculated by study

• Used to calculate peak demand from Energy

Diversity Factor

• Required to Find Combined Peak

• Within Sub-Stations of each DISCO

Page 16: “Identification, Comparison and Scenario

• The load factor of the entire period is the same as

that of the base year.

• Coincidence or diversity factors between feeders of

different categories of each respective Disco are

determined by survey.

Assumptions

Page 17: “Identification, Comparison and Scenario

• The percentage of Load Shedding in all the Discos is

the same.

• Coincidence or diversity factors between

transformers, sub-stations and Discos are the same

as that of the base year.

Assumptions

Page 18: “Identification, Comparison and Scenario

Domestic Sales Equation

Domestic Sales of previous year

(GWh)Expected

Growth Rate per customerLoad shedding of

previous year (GWh)

Expected Load to be

added (GWh)

+x

+

=Domestic Sales of next year

(GWh)

Domestic Demand of next year (MW)

Load Factor

Page 19: “Identification, Comparison and Scenario

DF 0.85

Public Tubewells

Distribution Losses

All Grids in a Load Center

Traction Loads

Transmission Losses

Total Load Center

DF 0.90

Total DISCO

DF = to be calculated

All DISCOs in the System

Total DISCO

Total Grid Station Total Grid Station

City Sub-Area Town Sub-Area

Total DISCO

Total Grid Station

Village Sub-area

Total System

All sub-area in a Grid Station

Page 20: “Identification, Comparison and Scenario

Outputs

Forecast With Load

Management

Grid Category

Wise Energy & Demand

Monthly Demand Forecast

Over Loaded 132 kV

Substations

District and Division Wise

Forecast

Energy and DemandForecast

PMS Outputs

Category Wise Energy and

Demand Forecast

Province Wise

Forecast

Page 21: “Identification, Comparison and Scenario

Summary of Demand Forecast (MW)

Name 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 2019-20 2020-21 2021-22

LESCO 4326 4478 4649 4855 5063 5271 5495 5736 5976 6210

GEPCO 2093 2198 2324 2439 2560 2686 2818 2957 3102 3254

FESCO 3013 3216 3427 3651 3886 4167 4480 4807 5127 5450

IESCO 2389 2481 2621 2754 2894 3047 3201 3354 3509 3669

MEPCO 3299 3499 3734 3949 4170 4399 4636 4894 5161 5438

PESCO 2645 2754 2865 2976 3089 3202 3316 3431 3547 3663

HESCO 1421 1496 1574 1656 1742 1831 1926 2024 2128 2236

QESCO 1288 1332 1377 1425 1474 1525 1579 1635 1693 1753

TESCO 641 662 682 704 726 750 774 799 825 852

SEPCO 1070 1122 1176 1232 1290 1350 1412 1476 1542 1611

Total DISCOs Demand 19545 20473 21523 22590 23695 24871 26112 27412 28730 30075

T & T Losses (500 & 220kV) (Avg

3.05%)626 655 689 723 759 796 836 878 920 963

NTDC Demand 20171 21129 22212 23313 24453 25667 26948 28290 29649 31038

Auxiliary Consumption 345 361 380 398 418 439 460 483 507 530

PEPCO Demand w/o Export to

KESC20516 21490 22592 23711 24871 26105 27408 28773 30156 31568

PEPCO Demand With Export to

KESC (650 MW)21166 22140 23242 24361 25521 26755 28058 29423 30806 32218

650 MW

Page 22: “Identification, Comparison and Scenario