• DocumentCode
    1073684
  • Title

    Generating capacity adequacy associated with wind energy

  • Author

    Billinton, Roy ; Bai, Guang

  • Author_Institution
    Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, Sask., Canada
  • Volume
    19
  • Issue
    3
  • fYear
    2004
  • Firstpage
    641
  • Lastpage
    646
  • Abstract
    The wind is a highly variable energy source and behaves far differently than conventional energy sources. This paper presents a methodology for capacity adequacy evaluation of power systems including wind energy. The results and discussions on two representative systems containing both conventional generation units and wind energy conversion systems (WECS) are presented. A Monte Carlo simulation approach is used to conduct the analysis. The hourly wind speeds are simulated using an autoregressive moving average time-series model. A wide range of studies were conducted on two different sized reliability test systems. The studies show that the contribution of a WECS to the reliability performance of a generation system can be quantified and is highly dependent on the wind site conditions. A WECS can make a significant reliability contribution given a reasonably high wind speed. Wind energy independence also has a significant positive impact on the reliability contribution of multiple WECS.
  • Keywords
    Monte Carlo methods; autoregressive moving average processes; power generation reliability; time series; wind power; wind power plants; Monte Carlo simulation; autoregressive moving average time-series model; capacity adequacy evaluation; conventional generation units; power systems; variable energy source; wind energy; wind energy conversion systems; Autoregressive processes; Power system modeling; Power system reliability; Power system simulation; System testing; Wind energy; Wind energy generation; Wind power generation; Wind speed; Wind turbines; Adequacy evaluation; generating systems; reliability; wind energy;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2004.827718
  • Filename
    1325306