• DocumentCode
    1418557
  • Title

    Assessment of risk-based capacity benefit factors associated with wind energy conversion systems

  • Author

    Billinton, R. ; Chen, Hua

  • Author_Institution
    Dept. of Electr. Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    13
  • Issue
    3
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    1191
  • Lastpage
    1196
  • Abstract
    A wind energy conversion system (WECS) has a different impact on the load carrying capability of a generating system than does a conventional energy conversion system. This is mainly due to the variation in wind velocity. Two risk-based capacity indices designated as load carrying capacity benefit ratio (LCCBR) and equivalent capacity rate (ECR) are introduced in this paper. These two indices can be used to indicate capacity benefit and credit of a WECS, and thus provide valuable information for energy policy makers in decision problems involving the selection and classification of wind sites. A midpoint sectionalized technique has been developed to calculate the incremental peak load carrying capability (IPLCC) and to assess the LCCBR and ECR. The technique is effective and usually takes only a few iterations to obtain the indices. Sequential Monte Carlo simulation is utilized to estimate the adequacy of a generating systems including WECS. A small reliability test system containing WECS is utilized to illustrate the proposed technique
  • Keywords
    Monte Carlo methods; load (electric); reliability; risk management; wind turbines; Monte Carlo simulation; decision problems; equivalent capacity rate; generating system; incremental peak load carrying capability; load carrying capability; load carrying capacity benefit ratio; midpoint sectionalized technique; reliability test; risk-based capacity benefit factors; risk-based capacity indices; wind energy conversion systems; wind velocity variation; Energy conversion; Power system modeling; Power system planning; Power system reliability; System testing; Wind energy; Wind energy generation; Wind farms; Wind power generation; Wind speed;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.709119
  • Filename
    709119