• DocumentCode
    3475362
  • Title

    The study of cascading failure evaluation and path division on FCM algorithm

  • Author

    Kou, Lingyue ; Ai, Xin ; Deng, Huiqiong

  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    2379
  • Lastpage
    2382
  • Abstract
    Cascading failure is one of the main causes of blackouts. The authors proposed a new set of cascading failure evaluation, in order to reflect the different random combination of factors set off the possibility and spread speed of cascading failures, and focus on how evaluate and classify data samples to achieve the sample data screening by separate indexes. Using a multi-objective analysis method, evaluating the data samples first, and then adopting FCM (Fuzzy C-means) algorithm to classify sample data with separate and comprehensive index as an input. Finally, an example in IEEE39 system proves that the evaluation method is reasonable.
  • Keywords
    failure analysis; fuzzy set theory; power system faults; IEEE39 system; blackouts; cascading failure evaluation; fuzzy C-means algorithm; multiobjective analysis method; path division; Algorithm design and analysis; Failure analysis; Fault location; Power system analysis computing; Power system faults; Power system protection; Power system reliability; Power system security; Power system simulation; System testing; Cascading failure; Fuzzy C-mean algorithm; evaluation index; random factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523810
  • Filename
    4523810