• DocumentCode
    1521969
  • Title

    Well-Being Analysis of Wind Integrated Power Systems

  • Author

    Billinton, Roy ; Karki, Bipul

  • Author_Institution
    Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, SK, Canada
  • Volume
    26
  • Issue
    4
  • fYear
    2011
  • Firstpage
    2101
  • Lastpage
    2108
  • Abstract
    The paper presents well-being analysis of wind integrated electric power generating systems. An approach is presented for calculating well-being indices which gives much faster results than previously published methods. The link between the unit commitment risk criterion (UCRC) and system healthy state probability (HSPC) is illustrated using two different test systems. The method should prove useful in the decision making process of choosing an appropriate UCRC. The proposed approach extends the application of probabilistic techniques in operating reserve evaluation and determination.
  • Keywords
    decision making; power generation dispatch; power generation scheduling; probability; risk analysis; wind power plants; decision making process; probabilistic techniques; reserve determination; reserve evaluation; system healthy state probability; unit commitment risk criterion; well-being analysis; well-being indices; wind integrated electric power generating systems; Capacity planning; Load modeling; Power system modeling; Probabilistic logic; Wind power generation; Wind speed; Peak load carrying capability; spinning reserve; unit commitment; well-being analysis; wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2011.2138171
  • Filename
    5771585