• 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