• DocumentCode
    107677
  • Title

    Multiobjective Optimization Algorithm for Switch Placement in Radial Power Distribution Networks

  • Author

    Bezerra, Jose Roberto ; Cordeiro Barroso, Giovanni ; Saraiva Leao, Ruth Pastora ; Furtado Sampaio, Raimundo

  • Author_Institution
    Fed. Inst. of Ceara, Fortaleza, Brazil
  • Volume
    30
  • Issue
    2
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    545
  • Lastpage
    552
  • Abstract
    Customer satisfaction counts very much to the electric power distribution companies. The improvement of reliability indices is an effective way to achieve this goal. The optimal placement of power switches is a desirable procedure because while it reduces investment in network assets, it also reduces the number of customers not supplied by outages and, accordingly, improves system reliability. This paper proposes a multiobjective optimization approach for switch placement based on the particle swarm optimization method applied to radial distribution networks of power utilities. The proposed algorithm gives a set of solutions instead of a single one. It intends to be a valuable and flexible tool for planning modern and reliable power distribution networks. Simulation results when using the IEEE 123-node test system and the Roy Billinton Test System are presented as testbeds.
  • Keywords
    particle swarm optimisation; power distribution planning; power distribution reliability; switchgear; IEEE 123-node test system; Roy Billinton test system; electric power distribution company; multiobjective optimization algorithm; particle swarm optimization; power switch placement; power system planning; power utility; radial power distribution network; reliability; Linear programming; Optimization; Particle swarm optimization; Power system reliability; Reliability; Switches; Distribution planning; multiobjective optimization; particle swarm optimization (PSO); power system reliability; switch placement;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2014.2317173
  • Filename
    6810897