A dissertation submitted to the Faculty of Engineering. University of the
Witwatersrand. Johannesburg, in fulfilment of the requirements for the
degree of Master of Science in Engineering.
D.tT~.awart •• w1t~4i.tinotion on , Dec ••ber I,e7
Johannesburg. ItN7 / Accurate forecastinu of system Maximum Demand (MDl is vital ~o Esk011l.
Under-estimating the MD could re-ul: in a generation capacity shortage.
with devastating consequences for the economy. Similarly. a high MD
forecast would result in overcapacity. with expensive generating plant
standing idle The traditional method of MD forecasting in Eskorn has
become unreliable due to a changing relationship between forecast energy
sales and expected maximum demand. The reasons for the changing system
demand profile were isolated and analysed. Alternative MD forecasting
techniques are evaluated and end-use hourly aggregation modets were
;d'~ntifieJ as a method suitable for Eskorn, An experimental demand profile
forecasting moue! was developed, using data from a previous project. The
model was tested and proved able to cope with the structural changes in the
system demand profile. This resulted in the adoption of this technique by
Eskorn and approval for the devclopn-ent of a f\.JJ1 scale de manu profile
forecasting model.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/20671 |
| Date | 20 July 2016 |
| Creators | Berrisford, Andrew John |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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