• DocumentCode
    2105887
  • Title

    China´s Research Status Quo and Development Trend of Power Grid Fault Diagnosis

  • Author

    Ma, Min ; Zhao, Dongmei ; Zhang, Xu ; Liu, Dongran

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Fault diagnosis is the basic condition for smart grid to achieve the self-healing function, and it is also one of the important research topics of the intelligent dispatching decision support system. On the basis of analyzing its concept and aiming at the current status of China´s studies, this paper reviewed and summarized several intelligent fault diagnosis methods, including expert system, artificial neural networks, rough set theory, data mining techniques, multi-agent technology and the entropy theory, then pointed out their application characteristics and existing problems, and finally the prospects of further development in this field were presented.
  • Keywords
    decision support systems; fault diagnosis; power engineering computing; smart power grids; China; Status Quo; artificial neural networks; data mining techniques; entropy theory; fault diagnosis methods; intelligent dispatching decision support system; multi-agent technology; power grid fault diagnosis; rough set theory; self-healing function; smart grid; Artificial intelligence; Artificial neural networks; Decision support systems; Diagnostic expert systems; Dispatching; Fault diagnosis; Intelligent networks; Power grids; Set theory; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448934
  • Filename
    5448934