DocumentCode :
821883
Title :
A probabilistic model for residential consumer loads
Author :
Heunis, Schalk W. ; Herman, Ron
Author_Institution :
Heunis Solutions, Pretoria, South Africa
Volume :
17
Issue :
3
fYear :
2002
fDate :
8/1/2002 12:00:00 AM
Firstpage :
621
Lastpage :
625
Abstract :
A probabilistic model for residential loads is proposed in this paper. The model differs from other similar models in that it uses a beta probability distribution function (beta PDF) to describe the load uncertainty. It further models the load parameter uncertainty as a bivariate distribution of load current means and standard deviations. By separating the probabilistic load uncertainty and the load parameter uncertainty, the model becomes very useful for the analysis of distribution systems where primarily residential consumers are connected, e.g., electrification projects. The model was tested using a Monte Carlo-type simulation and the results are sufficiently accurate for practical design purposes.
Keywords :
Monte Carlo methods; load (electric); probability; Monte Carlo-type simulation; beta probability distribution function; bivariate distribution; electrification projects; load current means; load parameter uncertainty; load uncertainty; probabilistic load uncertainty; probabilistic model; residential consumer loads; standard deviations; Africa; Histograms; Load modeling; Power distribution; Power system modeling; Probability distribution; Statistical distributions; Testing; Uncertain systems; Uncertainty;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2002.800901
Filename :
1033702
Link To Document :
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