• DocumentCode
    2992396
  • Title

    Application and Research on the Clustering Method in the Flow Transfer of Power Network

  • Author

    Deng, Huiqiong ; Zhu, Weilu ; Sun, Lihua ; Sun, Huiqing ; He, Lixiao

  • Author_Institution
    Coll. of Electr. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    3358
  • Lastpage
    3361
  • Abstract
    Flow transfer is one of main causes of cascading failures. It is important to identify the initial fault line which has serious impacts on the power network due to flow transfer. The authors propose a method which is based on Fuzzy C-mean (FCM) algorithm to divide the initial failures which has different impacts on the power network due to flow transfer. The method provides an analytical measure to divide the different effects of different initial failures and try to find weaknesses in the power network. The method combines structure and operating characteristics of the power network and proposes an elaborate structure of the data samples, therefore, the clustering analysis is more comprehensive and an example in IEEE14 system proves that the method is reasonable.
  • Keywords
    fuzzy set theory; load flow; pattern clustering; power engineering computing; power system faults; IEEE14 system; clustering method; flow transfer; fuzzy C-mean algorithm; initial fault line; power network; Classification algorithms; Clustering algorithms; Entropy; Indexes; Power system faults; Power system protection; blackout; cascading failure; cluster; flow transfer; power network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.819
  • Filename
    5630490