• DocumentCode
    2721115
  • Title

    A parallel meta-heuristic method for distribution network loss reduction with network reconfiguration and capacitor control

  • Author

    Mori, H. ; Komatsu, Y.

  • Author_Institution
    Dept. of Electron. & Bioinf. Eng., Meiji Univ., Kawasaki, Japan
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a novel method for distribution network loss minimization in distribution networks. The proposed method makes use of parallel meta-heuristics under PC cluster environment The liberalization of power networks with distributed generation makes distribution networks more complicated. To compete with other players, saving cost is of main concern. In this paper, a unified method is proposed to minimize the network loss with both network reconfiguration and capacitor control The formulation may be expressed as a combinatorial optimization problem. In this paper, parallel meta-heuristic method is proposed to solve the problem. The proposed method evaluates the solution with the PC cluster system. The proposed method is tested in sample systems.
  • Keywords
    combinatorial mathematics; distributed power generation; optimisation; power capacitors; power distribution control; PC cluster system; capacitor control; combinatorial optimization problem; distributed generation; distribution network loss reduction; network reconfiguration; parallel metaheuristic method; power networks; saving cost; Clustering algorithms; Concurrent computing; Costs; Distributed control; Equations; Minimization methods; Power systems; Switched capacitor networks; Switches; Voltage; Genetic algorithm; Memetic algorithm; Meta-heuristics; Optimization; Parallel computation; Power distribution control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5230-9
  • Electronic_ISBN
    978-1-4244-5230-9
  • Type

    conf

  • DOI
    10.1109/TD-ASIA.2009.5356970
  • Filename
    5356970