• DocumentCode
    3352278
  • Title

    Distribution Network Reconfiguration Based on Particle Swarm Optimization and Chaos Searching

  • Author

    Sheng, Si-qing ; Cao, Yun ; Yao, Yu

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As the connection between transmission network and consumers facilities, distribution network has been paid more and more attentions about its planning.A scientific and efficient optimization project for distribution network structure can save investment,reduce power-cutting and the line losses, as well as improve the quality of electric power,which is currently one of the important task of the departments of power system.This paper introduces chaos into the distribution network planning,and a new planning method is based on the particle swarm optimization. A restoration scheme is given aiming at the problem of production of the lots of infeasible solutions due to the application of the genetic algorithm in distribution network planning.And the improved forward-backward sweep method of distribution network is given based on analytic network process.The restlts from calculation example shows that the proposed method is effective.
  • Keywords
    chaos; genetic algorithms; particle swarm optimisation; power distribution planning; chaos searching; distribution network planning; distribution network reconfiguration; electric power quality; forward-backward sweep method; genetic algorithm; particle swarm optimization; restoration scheme; Algorithm design and analysis; Chaos; Computational efficiency; Computational intelligence; Cost function; Genetic algorithms; Optimization methods; Particle swarm optimization; Power system planning; Power system restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918291
  • Filename
    4918291