• DocumentCode
    676646
  • Title

    The operating risk evaluation of power system with a large scale of wind farms considering uncertainty of wind power prediction and extreme weather

  • Author

    Yinli Cao ; Haibo Li ; Zongxiang Lu ; Wei Wang

  • Author_Institution
    Gansu Electr. Power Dispatching & Commun. Center, Lanzhou, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper focuses on the basic framework of operating risk evaluation method considering two key uncertain factors: the wind power prediction and extreme weather. The output model of large scale wind farms including the uncertainty of wind power forecast is proposed in this paper. Then the system generation margin model considering the ramp rate of conventional generators is built up to study the operating risk of power system. At last, based on the forecasted and measured data of wind farms in Gansu province, a simulation on RBTS indicates that the fluctuation of wind power is the essential source of the risk for power system with large scale of wind farms. The outage loss of power system in extreme weather is much higher than the risk in normal weather but with a much lower probability, which is a “HILP” event.
  • Keywords
    Monte Carlo methods; load forecasting; wind power plants; extreme weather; operating risk evaluation; power system; system generation margin model; wind farms; wind power forecast; wind power prediction; extreme weather; operating risk; uncertainty; wind power;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1858
  • Filename
    6718769