• DocumentCode
    2235981
  • Title

    Novel method of implementation of swarm intelligence technique in reactive power compensation with voltage constraint

  • Author

    Prathap, N.P. ; Gowtham, N. ; Raja, T. Karthick ; Kannan, S.M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Anna Univ., Madurai, India
  • fYear
    2011
  • fDate
    22-24 Sept. 2011
  • Firstpage
    862
  • Lastpage
    866
  • Abstract
    The main aim of the paper is to reduce the real power losses and improve the voltage profile in a radial distribution feeder by placement of capacitor allocation taking voltage as a constraint. Fuzzy expert system decides the nodes where the capacitor must be placed in order to compensate both real power loss and improve voltage profile. Then the sizing of the capacitors is modeled by the objective function to obtain maximum savings using Particle Swarm Optimization and Hybrid Particle Swarm Optimization and is compared. A case study with an existing rural 15 bus distribution feeder is presented to illustrate the applicability of the algorithm.
  • Keywords
    expert systems; fuzzy set theory; particle swarm optimisation; power capacitors; power distribution; reactive power; bus distribution feeder; capacitor allocation; fuzzy expert system; hybrid particle swarm optimization; objective function; radial distribution feeder; reactive power compensation; real power losses; swarm intelligence technique; voltage constraint; Capacitors; Genetic algorithms; Load flow; Particle swarm optimization; Resource management; Vectors; Radial distribution feeders; fuzzy expert system; hybrid particle swarm optimization; particle swarm optimization; swarm intelligence; voltage constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
  • Conference_Location
    Trivandrum
  • Print_ISBN
    978-1-4244-9478-1
  • Type

    conf

  • DOI
    10.1109/RAICS.2011.6069432
  • Filename
    6069432