• DocumentCode
    2030239
  • Title

    Weak voltage area recognition method in power system based on fuzzy subtract clustering

  • Author

    Duan, Qi ; Deng, Huiwen ; Ye, Di

  • Author_Institution
    Inst. of Logic & Intell., Southwest Univ., Chongqing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1662
  • Lastpage
    1667
  • Abstract
    In power system, voltage collapses are often caused by voltage instability of some areas, then proliferate to the overall system, make the system breakdown. Therefore how to judge the system voltage stability weak area has become a focus problem. In this paper, fuzzy subtract clustering is applied in sensitivity indices analysis method for recognizing weak voltage areas in power system. Furthermore, this method is validated through two simulations. The first simulation´s result showed that this method is as accurate as traditional modal analysis. The second simulation showed that this method is very economical for power system stability recovery.
  • Keywords
    fuzzy set theory; power system dynamic stability; sensitivity analysis; fuzzy subtract clustering; modal analysis; power system stability recovery; sensitivity indices analysis; system breakdown; system voltage stability weak-area; voltage collapses; voltage instability; weak-voltage area recognition method; Power grids; Power system dynamics; Power system stability; Sensitivity; Stability criteria; fuzzy subtract clustering; power system stability; weak voltage area recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569378
  • Filename
    5569378