• DocumentCode
    674296
  • Title

    Self-healing restoration of a distribution system using hybrid Fuzzy Control/Ant-Colony Optimization Algorithm

  • Author

    Abd El-Hamed, Mohamed Zaki ; El-Khattam, Walid ; El-Sharkawy, Rania

  • Author_Institution
    Arab Acad. for Sci. & Technol., Cairo, Egypt
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The restoration process for distribution system grid needs the operation of line switching to restore as many loads as possible for the faulted area. In this paper a multi objective, multi constraint combinatorial optimization problem is formulated to solve the self-healing restoration problem. A hybrid Fuzzy Control (FC)-Ant Colony Optimization Algorithm (ACOA) is proposed using values for P, Q from a SCADA system. Two case studies without/with distributed generation are carried out to evaluate the effectiveness and speed of the proposed algorithm. The obtained results are compared with the conventional ACO to illustrate the accuracy of the proposed hybrid algorithm. Finally, conclusions are discussed.
  • Keywords
    SCADA systems; ant colony optimisation; combinatorial mathematics; distributed power generation; fuzzy control; power distribution control; power system restoration; FC-ACOA; SCADA system; ant-colony optimization algorithm; distributed generation; distribution system grid; hybrid fuzzy control; line switching; multiconstraint combinatorial optimization problem; multiobjective combinatorial optimization problem; self-healing restoration; Fault diagnosis; Indexes; Substations; Ant Colony Optimization Algorithm; Fuzzy Control; Power System Restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4799-0687-1
  • Type

    conf

  • DOI
    10.1109/EPECS.2013.6713058
  • Filename
    6713058