• DocumentCode
    1693196
  • Title

    A novel algorithm for distribution network reconfiguration based on evolutionary programming

  • Author

    Zhang Bingda ; Yang, Liu

  • Author_Institution
    Key Lab. of Power Syst. Simulation & Control, Tianjin Univ., Tianjin, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    Because there are slow evolutionary process and difficult smooth convergence in evolutionary programming algorithm, a mutation operator for distribution network reconfiguration is proposed. In order to guarantee that new individuals from mutation is close to the optimal individual actively, times of topology restructure should be inversely proportional to evolutionary generations, and both selection operators for switch to open and to close should be set in the process of topology restructure. Simplified calculation methods of power loss of network, quadratic load moment and selection operators are given. The feasibility of method proposed above is verified in the system of the operation optimization and the assistant decision of the 10kV distribution network, which is located in Shangqiu power supply bureau, Henan Province.
  • Keywords
    convergence; evolutionary computation; losses; mathematical operators; power distribution economics; Shangqiu power supply; distribution network reconfiguration; evolutionary programming; mutation operator; operation optimization; power loss; quadratic load moment; selection operator; smooth convergence; topology restructure; voltage 10 kV; Equations; Load flow analysis; Programming; Switches; Topology; branch exchange algorithm; distribution network reconfiguration; evolutionary programming; mutation operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180380
  • Filename
    6180380