• DocumentCode
    3388114
  • Title

    Network Reconfiguration of Distribution System with Distributed Generation Using State Graph

  • Author

    Zhang, Hao ; Ma, Shuang ; Xu, Gang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel distribution network reconfiguration approach with consideration of the random output power of distributed generation (DG) is proposed in this paper. The method operates by joint use of graph theory and scenario analysis. By generating the switch state graph of distribution network with DG, network reconfiguration is simplified to the optimization problem of network switch state combination. Then probability-based scenario analysis is used to build the optimization model of distribution system with wind turbine. To seek the satisfactory solution, any colony algorithm and circle breaking is employed to obtain the best network reconfiguration scheme under mono-scenario and multi-scenario. The example analysis of a 33-node distribution network illustrates that the method is feasible and it provides a strong motivation for the further development and application of DG.
  • Keywords
    ant colony optimisation; distributed power generation; distribution networks; graph theory; probability; wind turbines; 33-node distribution network reconfiguration approach; DG; ant colony algorithm; distributed generation; distribution system; network reconfiguration; network switch state combination; optimization problem; probability-based scenario analysis; state graph theory; wind turbine; Load flow analysis; Optimization; Switches; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307117
  • Filename
    6307117