• DocumentCode
    875903
  • Title

    Reliability-Constrained Optimum Placement of Reclosers and Distributed Generators in Distribution Networks Using an Ant Colony System Algorithm

  • Author

    Wang, Lingfeng ; Singh, Chanan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • Volume
    38
  • Issue
    6
  • fYear
    2008
  • Firstpage
    757
  • Lastpage
    764
  • Abstract
    Optimal placement of protection devices and distributed generators (DGs) in radial feeders is important to ensure power system reliability. Distributed generation is being adopted in distribution networks with one of the objectives being enhancement of system reliability. In this paper, an ant colony system algorithm is used to derive the optimal recloser and DG placement scheme for radial distribution networks. A composite reliability index is used as the objective function in the optimization procedure. Simulations are carried out based on two practical distribution systems to validate the effectiveness of the proposed method. Furthermore, comparative studies in relation to genetic algorithm are also conducted.
  • Keywords
    distributed power generation; genetic algorithms; power distribution reliability; ant colony system algorithm; composite reliability index; distributed generators; genetic algorithm; objective function; optimization procedure; power system reliability; protection devices; radial distribution networks; radial feeders; reclosers; reliability-constrained optimum placement; Ant colony optimization (ACO); distributed generation (DG); optimum recloser placement; stochastic search and optimization;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2008.2001573
  • Filename
    4636711