• DocumentCode
    2061569
  • Title

    Power system key lines identification based on cascading failure and vulnerability evaluation

  • Author

    Wu Xu ; Zhang Jianhua ; Wu Linwei ; Zhu Xingyang

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Critical segments in power system are closely related to cascading failures. Therefore, how to identify and quantify critical segments in a grid has become a hot topic of power system emergency and early warning. According to hidden failure model and power flow transferring, a searching mode of cascading failures was introduced in this paper, based on operational reliability model of lines. Utility theory is introduced to define the severity of the contingency. And a composite risk indicator for cascading failures is obtained by integrating the various risk indicators, which is based on the entropy and the analytic hierarchy process. According to complex network theory, vulnerability indicators are further proposed for the identification of key lines. Taking a district grid in Henan for example, the vulnerable lines in it are identified. The results demonstrate that improving a few key lines identified can make the grid avoid large blackouts.
  • Keywords
    alarm systems; analytic hierarchy process; complex networks; entropy; failure analysis; load flow; network theory (graphs); power cables; power grids; power system identification; power transmission reliability; Henan district grid; analytic hierarchy process; cascading failure; complex network theory; composite risk indicator; critical segment identification; early warning; entropy; hidden failure model; large blackout avoidance; operational reliability model; power flow transferring; power system emergency; power system key lines identification; searching mode; utility theory; vulnerability evaluation; vulnerability indicators; cascading failure; key lines; power system; risk indicator; vulnerability evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508625
  • Filename
    6508625