• DocumentCode
    1313146
  • Title

    A sequential simulation technique for adequacy evaluation of generating systems including wind energy

  • Author

    Billinton, R. ; Chen, Hua ; Ghajar, R.

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    11
  • Issue
    4
  • fYear
    1996
  • fDate
    12/1/1996 12:00:00 AM
  • Firstpage
    728
  • Lastpage
    734
  • Abstract
    A wind energy conversion system (WECS) has a different impact on the reliability performance of a generating system than does a conventional energy conversion system. This is due to the variation of wind speeds and the dependencies associated with the power output of each wind turbine generator (WTG) in a wind farm. In this paper, a sequential Monte Carlo simulation technique is proposed for adequacy evaluation of a generating system including WECS. The method is based on an hourly random simulation to mimic the operation of a generating system, taking into account the auto-correlation and fluctuating characteristics of wind speeds, the random failure of generating units and other recognized dependencies. The hourly wind speeds are simulated utilizing autoregressive and moving average time series models that are established based on the F-criterion. A small reliability test system designated as the RBTS is used to illustrate the proposed method
  • Keywords
    Monte Carlo methods; autoregressive moving average processes; power system analysis computing; power system reliability; power system security; power system stability; time series; turbogenerators; wind power plants; F-criterion; Monte Carlo simulation; autoregressive models; computer simulation; hourly random simulation; hourly wind speeds; moving average time series models; power system adequacy evaluation; reliability performance; sequential simulation technique; wind energy conversion system; wind farm; Autocorrelation; Character generation; Energy conversion; Power generation; Power system reliability; Wind energy; Wind energy generation; Wind farms; Wind speed; Wind turbines;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.556371
  • Filename
    556371