• DocumentCode
    2670426
  • Title

    Multi-Objective Optimal Allocation of SVRs in Distribution Networks

  • Author

    Mori, Hiroyuki ; Yoshida, Takafumi

  • Author_Institution
    Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki, Japan
  • fYear
    2009
  • fDate
    8-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new method for multi-objective optimal allocation of step voltage regulators (SVRs) in distribution systems. In recent years, deregulated and competitive power markets bring about complicated distribution network configurations. As a result, it is difficult to smooth distribution network operation and planning. In this paper, a method for determining the optimal allocation of SVRs is proposed to maintain the voltage profile. The proposed method is based on multi-objective meta-heuristics (MOMH) and MonteCarlo Simulation (MCS) with the correlation. The former is useful for evaluating a Pareto solution set systematically. As MOMH, this paper makes use of the improved strength Pareto evolutionary algorithm (SPEA2) that has a good performance in terms of the solution diversity and accuracy of the Pareto set. The latter plays a key role to deal with the uncertainty of the nodal specified value in distribution networks. The effectiveness of the proposed method is demonstrated in the 69-node system.
  • Keywords
    Monte Carlo methods; Pareto distribution; distribution networks; power markets; MonteCarlo simulation; Pareto solution set; SVR; distribution networks; multi-objective meta-heuristics; multi-objective optimal allocation; power markets; step voltage regulators; strength Pareto evolutionary algorithm; voltage profile; Bioinformatics; Consumer electronics; Costs; Evolutionary computation; Power markets; Power system planning; Regulators; State estimation; Uncertainty; Voltage; Load uncertainty; Monte-Carlo simulation; Multiobjective meta-heuristics; Optimization; SPEA2; SVRs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
  • Conference_Location
    Curitiba
  • Print_ISBN
    978-1-4244-5097-8
  • Type

    conf

  • DOI
    10.1109/ISAP.2009.5352839
  • Filename
    5352839