• DocumentCode
    647752
  • Title

    Wind integrated power system well-being analysis

  • Author

    Wangdee, Wijarn ; Billinton, Roy ; Wenyuan Li

  • Author_Institution
    BC Hydro & Power Authority, Vancouver, BC, Canada
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It has been well recognized that highly variable wind generating capacity behaves considerably different from conventional generation sources. There is still, however, a need to profoundly understand the impact of wind power intermittency on the overall system reliability. A system well-being analysis is utilized in this paper to effectively capture both adequacy and security aspects of a power system containing large amounts of wind power generation. A sequential Monte Carlo simulation technique was used in the study as it has ability to accurately incorporate the chronology of intermittent wind generation behavior and to depict the system well-being index probability distributions in addition to the expected values. The study results are illustrated by considering the replacement of a conventional generating unit by wind power generation in the IEEE-RTS.
  • Keywords
    Monte Carlo methods; power generation reliability; power system security; statistical distributions; wind power plants; IEEE-RTS; generation sources; intermittent wind generation behavior chronology; power system reliability; power system security; sequential Monte Carlo simulation technique; system well-being index probability distributions; variable wind generating capacity; wind integrated power system well-being analysis; wind power generation; wind power intermittency; Indexes; Power systems; Probability distribution; Reliability; Security; Wind farms; Wind power generation; Expected value; generation adequacy and security; probability distribution; system well-being analysis; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672282
  • Filename
    6672282