• DocumentCode
    2641625
  • Title

    Reliability Assessment of Power Systems Based on Element Time Sequential by Bayesian Networks

  • Author

    Hu, Jie ; Huo, Limin ; Guo, Lirui ; Yin, Jinliang ; Xie, Yunfang

  • Author_Institution
    Dept. of Mech. & Electron. Eng. Agric., Univ. of Hebei Baoding, Baoding
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    579
  • Lastpage
    579
  • Abstract
    Bayesian network can represent probabilistic information flexibly, and to make inference on it . With the time sequential simulation Technique, the Bayesian topological structure and the Bayesian bidirectional inference method used in the distribution systems for the reliability assessment, the influence of each element or several elements to the reliability of the whole system can be gained conveniently, and the correlative data that relate to the time and the fault times can be gotten easily as well. Thus the shortcomings of traditional reliability assessment methods are overcomed . According to verification with the models, the effectiveness and advantage of the reliability assessment with the Bayesian network method used in the distribution systems is better.
  • Keywords
    Bayes methods; power distribution reliability; Bayesian bidirectional inference method; Bayesian topological structure; distribution systems; element time sequential; power system reliability assessment; Analytical models; Bayesian methods; Computer networks; Distributed computing; Failure analysis; Power engineering and energy; Power system measurements; Power system planning; Power system reliability; Reliability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.441
  • Filename
    4603768