• DocumentCode
    1071789
  • Title

    Multistate Wind Energy Conversion System Models for Adequacy Assessment of Generating Systems Incorporating Wind Energy

  • Author

    Billinton, Roy ; Gao, Yi

  • Author_Institution
    Saskatchewan Univ., Saskatoon
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    163
  • Lastpage
    170
  • Abstract
    Wind energy is considered to be a very promising alternative for power generation because of its tremendous environmental, social, and economic benefits. Electrical power generation from wind energy behaves quite differently from that of conventional sources. The fundamentally different operating characteristics of those facilities, therefore, affect the power system reliability in a manner different from that of the conventional systems. This paper is focused on the development of suitable models for wind energy conversion systems, in adequacy assessments of generating systems, using wind energy. These analytical models can be used in the conventional generating system adequacy assessment utilizing analytical or Monte Carlo state-sampling techniques. This paper shows that a five-state wind energy conversion system model can be used to provide a reasonable assessment of the practical power system adequacy studies, using an analytical method, or a state-sampling simulation approach.
  • Keywords
    Monte Carlo methods; power system reliability; wind power; Monte Carlo state-sampling technique; adequacy assessment; multistate wind energy conversion system; power system reliability; reliability evaluation; Analytical models; Environmental economics; Power generation economics; Power system economics; Power system modeling; Power system reliability; Power system simulation; Wind energy; Wind energy generation; Wind power generation; Generation adequacy assessment; reliability evaluation; wind system models;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2006.882415
  • Filename
    4453976