• DocumentCode
    1753863
  • Title

    Uncertainty Assessment Method of Power System Catastrophic Accidents

  • Author

    Ma Chao ; Xiao Xian-Yong ; Li Hua-Qiang ; Yang Hong-Geng ; Wang Heng-Gui

  • Author_Institution
    Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The component long-term failure and severity indices used in existing methods can not present time-varying characteristics when we assess the catastrophic event occurring in the power grid. A new method is presented in this paper based on uncertain measure. The credibility measure and global fuzzy security index are used to represent the possibility and severity of cascading failures. The N-l contingency was taken as the initial fault, and the hidden failure model and the ultimate catastrophic accident sequences were obtained in each simulation layer. The simulation results have shown that this method is accordant to the practice and it is with better accuracy, validity and feasibility.
  • Keywords
    power grids; power system faults; power system security; power system simulation; cascading failures; component long-term failure; global fuzzy security index; hidden failure model; power grid; power system catastrophic accidents; severity indices; uncertainty assessment; Accidents; Indexes; Power grids; Power system faults; Power system protection; Security; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5749052
  • Filename
    5749052