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Demand forecasting steps at load center

Short answer

Steps: classify consumers, project numbers and monthly consumption to design year with growth and coverage, compute daily energy and individual peak using load factor, sum class peaks weighted by contribution factor, then add losses and convert to kVA. Required data: consumer counts, monthly kWh, effective days, load factors, contribution factors, growth rates, and coverage factor.

Discuss the steps together with the data required for demand forecasting at a distribution system load center level.

Demand forecasting at a load centre (a village, town ward or the service area of one distribution transformer) estimates the peak demand and energy at a design year (usually the 5th year after commissioning, sometimes 10th/15th) so that the transformer, LT feeders and HT tap line can be sized. The method used in Nepal (NEA and IOE practice) is a consumer-class based end-use method.

Data required

DataUse
Number of households, shops, institutions, industries (potential consumers) by classBase consumer count
Average monthly consumption per consumer of each class (kWh)Energy per consumer
Number of effective (working) days per month for each classDaily energy
Daily load pattern / load factor of each classConverts energy to peak
Contribution (responsibility) factor of each class to the load centre peakCombines class peaks
Population (consumer) growth rateGrowth in consumer number
Consumption growth rate per yearGrowth in kWh per consumer
Electrification coverage factor by design yearFraction actually connected
Project implementation period, power factor, loss allowanceTiming and kVA rating

These come from field survey, census data, NEA billing records of similar electrified areas and socio-economic studies.

Steps

  1. Survey and classify consumers: domestic, commercial, non-commercial (institutions, schools, offices), industrial, irrigation, street lighting.
  2. Base year consumption: fix average monthly kWh per consumer of each class from similar electrified areas.
  3. Project consumer numbers to the design year nn: Nn=N0(1+p)n×coverage factorN_n = N_0 (1+p)^n \times \text{coverage factor}, where pp is population growth rate. Include the implementation period in nn.
  4. Project consumption per consumer: En=E0(1+g)nE_n = E_0 (1+g)^n, where gg is consumption growth rate.
  5. Daily energy per consumer: Eday=En/effective days per monthE_{day} = E_n / \text{effective days per month}.
  6. Individual peak from load factor: Pind=Eday24×LFP_{ind} = \dfrac{E_{day}}{24 \times LF}.
  7. Class peak: Pclass=Nn×PindP_{class} = N_n \times P_{ind} (times a coincidence factor if given).
  8. Load centre peak: PLC=∑(contribution factor×Pclass)P_{LC} = \sum (\text{contribution factor} \times P_{class}).
  9. Add losses and convert to kVA: S=PLC(1+loss allowance)/cos⁡ϕS = P_{LC}(1 + \text{loss allowance}) / \cos\phi; then choose the next standard transformer size (25, 50, 100, 200 kVA…).
  10. Annual energy: ∑NnEn×12\sum N_n E_n \times 12 for revenue and loss studies.

The result gives transformer rating, LT feeder loading, and the demand that the 11 kV feeder must carry.

✓ Answer checked by Claude Opus 5.5 (high effort)

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