• DocumentCode
    570417
  • Title

    Reliability assessment of composite generation and transmission system containing wind farms

  • Author

    Wu, Linwei ; Zhang, Jianhua ; Zhang, Min ; Liu, Ruoxi ; Zhu, Xingyang ; Liu, Wenxia

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the rapid development of wind power generation, it is significant to study the impacts of wind farms on power system reliability. A general probabilistic model of a wind farm is proposed in this paper. The wind farm is modeled as a conventional unit with multiple states. The model could be used in conventional power system adequacy assessment utilizing analytical or simulation methods without increasing the computational complexity. A case study is carried out on IEEE-RTS79 test system to assess the reliability benefit of wind farms using state sampling Monte Carlo technique. The results show that the forced outage rate couldn´t be ignored when suffering harsh condition. The access capacity and access node should be analyzed to find the most appropriate scheme.
  • Keywords
    Monte Carlo methods; power generation reliability; power transmission reliability; sampling methods; wind power plants; IEEE-RTS79 test system; access capacity; access node; analytical methods; composite generation-transmission system; forced outage rate; harsh condition; power system adequacy assessment; power system reliability; probabilistic model; reliability benefit assessment; simulation methods; state sampling Monte Carlo technique; wind farm impacts; wind farm modeling; wind power generation; Power system reliability; Reliability; Wind farms; Wind power generation; Wind speed; Wind turbines; Monte Carlo simulation; generation and transmission system; reliability assessment; wind farm model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303242
  • Filename
    6303242