• DocumentCode
    1536525
  • Title

    Application of expert system to load composition rate estimation algorithm

  • Author

    Lim, Jae-Yoon ; Kim, Jeung-Hoon ; Kim, Jin-O ; Singh, Chanan

  • Author_Institution
    Chung-Nam Jr. Coll., Daejon, South Korea
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    1137
  • Lastpage
    1143
  • Abstract
    A load model is needed for the power system analysis including load flow and stability studies. The load model representation needs the load composition rate indicating the portion of several typical load groups. This paper proposes a refined load composition rate estimation algorithm with input data which are relative coefficients, limit values and the energy portion of load groups. An expert system is constructed with the consideration of the uncertainty of input data. The load composition rates in several customers in the power system are obtained and the results of case studies show that a reasonable load composition rate is achieved
  • Keywords
    estimation theory; expert systems; load (electric); power system analysis computing; case studies; computer simulation; expert system application; input data uncertainty; load composition rate estimation algorithm; load model representation; power system customers; stability studies; Expert systems; Load flow; Load flow analysis; Load management; Load modeling; Power system analysis computing; Power system modeling; Power system stability; Stability analysis; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.780944
  • Filename
    780944