• DocumentCode
    2606208
  • Title

    Variance reduction techniques for use with sequential Monte Carlo simulation in bulk power system reliability evaluation

  • Author

    Billinton, R. ; Jonnavithula, A.

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    1
  • fYear
    1996
  • fDate
    26-29 May 1996
  • Firstpage
    416
  • Abstract
    Estimation of composite system adequacy indices using sequential Monte Carlo simulation approach with time varying loads at each load bus is computationally quite expensive. Variance reduction techniques (VRT) can be used together with the sequential simulation process to enhance the efficiency of the simulation. This paper discusses two commonly used VRTs-control variates (CV) and antithetic variates (AV) with reference to the sequential simulation method used for adequacy analysis. Case studies are conducted on a representative power system network
  • Keywords
    Monte Carlo methods; power system analysis computing; power system reliability; adequacy analysis; antithetic variates; bulk power system reliability evaluation; control variates; load bus; sequential Monte Carlo simulation; sequential simulation method; time varying loads; variance reduction techniques; Analytical models; Computational modeling; Interconnected systems; Monte Carlo methods; Power system analysis computing; Power system management; Power system modeling; Power system reliability; Power system simulation; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1996. Canadian Conference on
  • Conference_Location
    Calgary, Alta.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-3143-5
  • Type

    conf

  • DOI
    10.1109/CCECE.1996.548125
  • Filename
    548125