• DocumentCode
    718144
  • Title

    Distribution system reconfiguration using heuristic method and enhanced genetic algorithm with fuzzy sets objectives

  • Author

    Kabirifar, Milad ; Shojaei, Azin ; Moallem, Mehdi

  • Author_Institution
    Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    1568
  • Lastpage
    1573
  • Abstract
    Reconfiguration is an economic and appropriate method for minimizing power loss, improving power quality and increasing security and reliability of distribution system. By implementation of the smart infrastructure in distribution system, online reconfiguration is a suitable control tool in normal and abnormal conditions. This paper presents a heuristic method for real time multi objective reconfiguration based on fuzzy set objectives. In this method the number of switching operation is minimized and, hence, the search space and computational time are reduced. In another part of the work, Enhanced Genetic Algorithm (EGA) is used to obtain more precise solution and then these two methods are compared.
  • Keywords
    fuzzy set theory; genetic algorithms; heuristic programming; power distribution control; power distribution reliability; computational time; distribution system reconfiguration; distribution system reliability; fuzzy sets objectives; genetic algorithm enhancement; heuristic method; online reconfiguration; power loss minimization; power quality improvement; real time multiobjective reconfiguration; Conferences; Decision support systems; Electrical engineering; distribution system; enhanced genetic algorithm; fuzzy set theory; heuristic method; reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146469
  • Filename
    7146469