• DocumentCode
    662481
  • Title

    Optimal placement of energy storage devices for loss reduction in distribution networks

  • Author

    Farrokhifar, M. ; Grillo, Samuele ; Tironi, E.

  • Author_Institution
    Dipt. di Elettron., Inf. e Bioingegneria, Inf. e Bioingegneria, Milan, Italy
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper optimal placement of energy storage devices in low voltage distribution networks is investigated. The main target of this study is to find the optimal place, along with the related management strategy, of an energy storage device to maximize loss reduction in the network. The objective function involves the losses amount during all time intervals. Particle swarm optimization (PSO) algorithm has been applied for finding the solution of this problem. Among the most important features of this algorithm stands its feasibility, regarding both ease and speed. CIGRÉ low voltage network has been selected to evaluate the effectiveness of the method.
  • Keywords
    distribution networks; energy storage; genetic algorithms; particle swarm optimisation; power grids; power system management; CIGRÉ low voltage network; PSO algorithm; energy storage device; loss reduction; low voltage distribution network; particle swarm optimization algorithm; related management strategy; Batteries; Conferences; Linear programming; Low voltage; Optimization; Particle swarm optimization; Loss reduction; distribution network; energy storage device; particle swarm optimization; state of charge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
  • Conference_Location
    Lyngby
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2013.6695368
  • Filename
    6695368