• DocumentCode
    3120999
  • Title

    A fuzzy-rule based power restoration approach for a distribution system with renewable energies

  • Author

    Yang, Hong-Tzer ; Liao, Jian-Tang ; Su, Xiang-He

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    2448
  • Lastpage
    2453
  • Abstract
    Based on heuristic fuzzy rules, a new power restoration approach is presented in this paper. The restoration approach developed can be used to deal with different fault cases in a distribution system (DS) with sources of renewable energies. This paper introduces "Load Path" as the main framework for restoration. The proposed strategy can achieve the advantages of simple decision criterions, balance of backup feeders, fast execution time, and applicability for different fault cases. Depending on fault situations, the number of load paths is different. With more than two load paths existing, the proposed fuzzy rules infer the best main load path with one of its switches operated as the restoration strategy (RS) for the specific case. To consider the distributed generations (DGs) of renewable energies, the proposed approach has been validated in a test system adapted from Taipower distribution system for different scenario studies.
  • Keywords
    fuzzy systems; power distribution; power engineering computing; power system management; renewable energy sources; Taipower distribution system; backup feeders; distributed generations; fuzzy-rule based power restoration; heuristic fuzzy rules; renewable energies; Engines; Expert systems; Inference algorithms; Loading; Optimization; Power systems; Switches; Distribution System; Fuzzy Rules; Renewable Energies; Restoration Strategies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007534
  • Filename
    6007534