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Demand
Estimation in Planning Timescales (SPP:204):-
This Gridco document describes the Gridco internal procedure
and responsibilities for State demand estimation at more than
three months ahead.
Demand estimation is required to enable Gridco
- To
carry out system simulation studies to meet the requirements
of the Grid Code
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To prepare and submit a long term (10 years) plan to the
Commission
-
To make formal offers against connection applications
- To
produce a yearly outage plan on an annual basis.
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To
submit, on an annual basis a statement to the Commission,
for the coming 5 years containing forecasts of circuit
capacities, power flows and loadings, and also a commentary
on those parts of the Transmission System most suited
to new connections and transport of further quantities
of electricity (which has been termed a Statement of Opportunity)
to meet the requirements of the Licence.
Demand estimation for more than three months ahead shall be
prepared based on historical data and corrected for load growth,
holidays, demand shed, effects of weather etc. Computer programmes
shall, where appropriate, be used to assist in the estimation
process.
Demand estimation for more than three months ahead shall be
prepared by the System Planning cell and for less than three
months by SLDC (refer to SOP102).
The objective of this internal procedure is to enable Gridco
to make accurate demand estimates on a monthly basis for the
next two years, and annually for subsequent years. These estimates
shall be used to conduct system studies for use in long term
system and generation development purposes. To meet the objective
(in compliance with section 4.5 of the Grid Code) the following
steps are to be followed :
A. Prepare demand estimates from its historical data and likely
domestic and industrial development.
B. Receive demands from Distcos and compare with the own estimate.
C. Differences, if any, shall be reconciled on examination
of Distcos methodolgy.
Actual post-event demand shall be used to increase the accuracy
of the predictions. This data shall then be used to accurately
predict system demand and will eventually form the basis of
a computerised database. From this graphical demand estimates
may be produced with a high degree of confidence.
Both system maximum and system minimum shall be studied in
order to evaluate the effects of system demand on system voltage.
Demand includes both real and reactive
power data. Real power largely defines equipment ratings and
reactive power largely controls voltage performance.
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