• DocumentCode
    1968839
  • Title

    A study on optimal switching decision of distribution network based on Influence Diagrams

  • Author

    Pang, Bo ; Huang, Li-hua ; Huo, Li-Min ; Zhang, Li-Na

  • Author_Institution
    Mech. & Electr. Engineening, Agric. Univ. of Hebei, Baoding, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    4328
  • Lastpage
    4331
  • Abstract
    Distribution system configuration of the switch will not only affect to the reliability of the system is also affect the system efficiency. In this paper, the reliability and efficiency of the balance between the analysis, that the switch configuration of the optimal scheme is limited to in a smaller range can choose. On this basis, in power distribution system reliability probability index known condition, how to get the optimal allocation of switch made a thorough research on programmes.In this paper, using the Influence Diagrams decision theory under the GeNIe environment from the artificial intelligence laboratory of University of Pittsburgh, established Influence Diagrams decision theory model. In this environment running reasoning algorithm, the results can be obtained, compare results of different options,select the optimal solution. By an example, verify the correctness of optimal decision-making model and effectiveness.
  • Keywords
    decision diagrams; decision making; inference mechanisms; optimisation; power distribution planning; power distribution reliability; probability; switches; artificial intelligence laboratory; decision making; distribution network; influence diagrams decision theory; optimal allocation; optimal switching device; power distribution reliability; probability index; reasoning algorithm; switch configuration; Decision support systems; decisions model; distribution network; influence diagrams; optimal switching device placement; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6056826
  • Filename
    6056826