• DocumentCode
    3388073
  • Title

    A multi-objective meta-heuristic method for distribution network optimization

  • Author

    Mori, Hisamichi ; Shimomugi, K.

  • Author_Institution
    Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki, Japan
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    3457
  • Lastpage
    3460
  • Abstract
    In this paper, a new method is proposed for network loss and voltage deviation minimization in distribution networks. The proposed method makes use of multi-objective meta-heuristics (MOMH) that evaluates a set of the Pareto solutions systematically. The power networks become more deregulated and competitive due to the power liberalization. Hence, the cost minimization has been recognized as one of the most important factors in distribution systems. To compete with other players, saving the cost is of main concern in distribution companies This paper focuses on network reconfigurations and capacitor control to minimize the two objective functions of the network loss and voltage deviation minimization. The formulation may be expressed as a combinatorial optimization problem. It needs to use MOMH to evaluate a set of the Pareto solutions for the two objective functions. As MOMH, this paper uses SPEA2 to solve the minimization problem. The proposed method is successfully applied to the 69-node distribution system.
  • Keywords
    Pareto optimisation; distribution networks; power markets; Pareto solution; cost minimization; distribution network optimization; multiobjective meta heuristic method; power liberalization; power market; power network; voltage deviation minimization; Automation; Bioinformatics; Cost function; Minimization methods; Optimization methods; Reactive power control; Regulators; Switched capacitor networks; Switches; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537840
  • Filename
    5537840