• DocumentCode
    2846715
  • Title

    Optimal Microgrid Partition Strategy of Distribution Generation Based on Advanced GA

  • Author

    Shi Zhang ; Dingwei Wang ; Xinran Xu ; Tingting Zhao

  • Author_Institution
    Inst. of Syst. Eng., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Oct. 2010
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    It is widely focused on by the global researchers that distributed generation (DG) can enhance reliability of electric power system. The microgrid partition strategy is an important operation that can enhance reliability of electric power system. This paper presents an impact study on a DG connected to the distribution networks and proposes rooted tree to model DG island separation according to the radial structure. The advanced genetic algorithm and optimization 0-1 programming are then given for maximizing flexibility of network reconfiguration, which is to determine proper splitting points to split the entire interconnected distribution network into microgrids ensuring generation/load balance and satisfaction of transmission capacity constraints when microgrids are unavoidable. The verification of the microgrid partition strategy is proven with simulations on 7-bus and 23-bus test system.
  • Keywords
    distributed power generation; genetic algorithms; power system reliability; 23- bus test system; 7-bus bus test system; advanced GA; advanced genetic algorithm; distribution generation; electric power system reliability; interconnected distribution network; island separation; network reconfiguration flexibility; optimal microgrid partition strategy; optimization 0-1 programming; transmission capacity constraints; Intelligent systems; distributed generation; genetic algorithm; intentional islanding; microgrid; power system; splitting strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-8333-4
  • Type

    conf

  • DOI
    10.1109/ISDEA.2010.344
  • Filename
    5743371