• DocumentCode
    2757267
  • Title

    Assessment of Distribution System Reliability Based on Bayesian Network and Time Sequence Simulation

  • Author

    Lihua, Huang ; Chenwei, Hou ; Hui, Wang ; Limin, Huo

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Hebei Agric. Univ., Baoding, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    481
  • Lastpage
    486
  • Abstract
    Bayesian networks for distribution system were studied, ¿unite¿ relationship models and ¿cause-effect¿ relationship models were set up; A reasoning algorithm of reliability assessment for distribution system, which combines Bayesian networks with time sequence simulation technology, were put forward. The algorithm can produce states and random time segments of components, and at the same time it can reason system states, cumulate amounts of time, interrupted customer frequency and interrupted power energy. By using of these cumulative amounts, reliability indices of system can be calculated, but also diagnostic reasoning and cause-effect reasoning can be made, thus the overall assessment of system can be got, the weak parts of system can be identified also. Comparing with the data of the test system, the algorithm is reasonable and effective.
  • Keywords
    Bayes methods; cause-effect analysis; inference mechanisms; Bayesian network; cause-effect reasoning; cause-effect relationship; distribution system reliability; random time segments; time sequence simulation; Algorithm design and analysis; Analytical models; Bayesian methods; Failure analysis; Power system modeling; Power system reliability; Power system simulation; Probability; Substations; Switches; Bayesian Network; Distribution System; Reliability Assessment; Time Sequence Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.541
  • Filename
    5359496