• DocumentCode
    136881
  • Title

    Research on fault element diagnosis in power system based on hierarchical model and switch temporal logic

  • Author

    Deng Xiangli ; Nan Meng ; Chen Yajie

  • Author_Institution
    Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    When a fault occurs in the power system it is difficult to precisely diagnose the fault elements owning to the missing and false alarm information. Aiming at solving this problem, an expert system diagnosis method based on knowledge network technology is proposed in this paper. In the process of establishing the expert system, this paper puts forward a hierarchical scheduling information classification model, and designs a knowledge network which can be used to calculate the possibility of every knowledge node in the knowledge network by using switching action sequence and protection action logic. According to the result, the faults which have happened can be judged. At last,it takes Shanghai power grid as an example to verify this method.
  • Keywords
    expert systems; fault diagnosis; power engineering computing; power grids; power system faults; temporal logic; Shanghai power grid; expert system diagnosis method; false alarm information; fault element diagnosis; hierarchical scheduling information classification model; knowledge network technology; knowledge node; power system; protection action logic; switch temporal logic; switching action sequence; Circuit breakers; Circuit faults; Cognition; Expert systems; Fault diagnosis; Knowledge engineering; Power systems; credibility; fault diagnosis; hierarchical model; knowledge grid; power system; temporal logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6941153
  • Filename
    6941153