• DocumentCode
    515034
  • Title

    Research of Distribution System Reliability Based on Intelligence Algorithms

  • Author

    Zhou Xue-Song ; Liu Xin ; Ma You-jie ; Gu Hai-qing ; Zhou Xuan-zheng

  • Author_Institution
    Sch. of Electr. Eng., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    1060
  • Lastpage
    1063
  • Abstract
    The importance of the distribution system is mainly described, which is one of the three major parts of the power system. To summarize the conventional reliability algorithms, aiming at their shortcomings and then putting forward two significant intelligence algorithms: fuzzy evaluation and artificial intelligence method, followed by a brief description about how they achieve their computational aims and some of advantages and disadvantages about them. Finally, the future development of distribution reliability evaluation was prospected. It has some reference value for researches who are engaged in doing reliability work in power system.
  • Keywords
    artificial intelligence; fuzzy set theory; power distribution; power engineering computing; artificial intelligence; distribution system reliability; fuzzy evaluation; intelligence algorithm; power system; Algorithm design and analysis; Automation; Electric variables measurement; Failure analysis; Fuzzy systems; Mechatronics; Power measurement; Power system planning; Power system reliability; Uncertainty; Distribution system; Intelligence Algorithm; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.389
  • Filename
    5460191