• DocumentCode
    1009913
  • Title

    Optimal Switch Placement in Distribution Systems Using Trinary Particle Swarm Optimization Algorithm

  • Author

    Moradi, Adel ; Fotuhi-Firuzabad, M.

  • Author_Institution
    Sharif Univ. of Technol., Tehran
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • Firstpage
    271
  • Lastpage
    279
  • Abstract
    Achieving high-distribution reliability levels and concurrently minimizing capital costs can be considered as the main issues in distribution system optimization. Determination of the optimum number and location of switches in distribution system automation is an important issue from the reliability and economical points of view. In this paper, a novel three-state approach inspired from the discrete version of a powerful heuristic algorithm, particle swarm optimization, is developed and presented to determine the optimum number and locations of two types of switches (sectionalizers and breakers) in radial distribution systems. The novelty of the proposed algorithm is to simultaneously consider both sectionalizer and breaker switches. The feasibility of the proposed algorithm is examined by application to two distribution systems. The proposed solution approach provides a global optimal solution for the switch placement problem.
  • Keywords
    circuit breakers; particle swarm optimisation; power distribution economics; power distribution reliability; breaker switch placement; distribution system automation; distribution system economy; heuristic algorithm; radial distribution system reliability; sectionalizer; trinary particle swarm optimization; Algorithm design and analysis; Cost function; Particle swarm optimization; Power engineering and energy; Power system control; Power system reliability; Power system security; Power systems; Reliability engineering; Switches; Distribution system; particle swarm optimization (PSO); reliability cost/worth index; switch placement;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2007.905428
  • Filename
    4403225