• DocumentCode
    1620989
  • Title

    Adequacy study of wind farms considering reliability and wake effect of WTGs

  • Author

    Han, Xiaoqing ; Guo, Jing ; Wang, Peng ; Jia, Yanbing

  • Author_Institution
    Power Eng. Sch., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The wake effect of a wind turbine generator (WTG) may affect output of a wind farm. Wake effect depends on wind speed, and the size and location of WTGs in a wind farm. When one or more WTGs fail in a wind farm, the wind speed distribution in the farm will change, which may lead to different wind power output from the farm. This paper proposes a Monte Carlo simulation technique is used to evaluate adequacy of a wind farm with considering the reliability and location of WTGs, wind speed and the wake effect of WTGs. A quadratic interpolation method is used to study the optimal distribution of WTG in a wind farm. Reliability of a wind farm with and without the optimal WTG distribution is investigated by using the proposed technique. The results show that, the optimal layout of a wind farm with considering wake effect should be considered in wind farm adequacy studies.
  • Keywords
    Monte Carlo methods; interpolation; power generation reliability; wind power plants; wind turbines; Monte Carlo simulation technique; optimal layout; quadratic interpolation method; wake effect; wind farms; wind power output; wind speed distribution; wind turbine generator; Biological system modeling; Mathematical model; Power system reliability; Reliability; Wind farms; Wind speed; Wind turbines; Reliability modeling; optimal distribution; reliability evaluating; wake effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039208
  • Filename
    6039208