• DocumentCode
    1701515
  • Title

    Optimization of restoration paths considering topological characteristics of power system network

  • Author

    Cao MingKai ; Wu XinZhen ; Song Hao ; Liu Yuanlong

  • Author_Institution
    Electr. Eng. Dept., Qingdao Univ., Qingdao, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    836
  • Lastpage
    839
  • Abstract
    Network reconfiguration in power system is an important stage in the process of the power system black start. The important issues in this stage are to determine the restoration sequence of target nodes, and to optimize the restoration paths for the node restoration sequence. Both of the two issues are considered as a whole in this paper. Some electrical indexes, such as line operating time, line operating costs, and cranking unit number, are introduced to reflect the electrical characteristics of power system network. At the same time, based on the topological characteristics of power system network, a topological index, node importance degree is introduced here to solve the optimization problem. Meanwhile, the classic Dijkstra algorithm and the genetic algorithm are employed to search the global optimal restoration sequence of target nodes and node restoration paths. The numerical tests on the IEEE 30 system validates the strategy proposed in this paper.
  • Keywords
    IEEE standards; genetic algorithms; power system restoration; Dijkstra algorithm; IEEE 30 system; electrical indexes; genetic algorithm; global optimal restoration sequence; node restoration paths; node restoration sequence; power system black start; power system network topological characteristics; restoration path optimization; target nodes; Automation; Earth; Genetic algorithms; Indexes; Optimization; Power system restoration; Dijkstra algorithm; black start; genetic algorithm; network reconfiguration; topological characteristic;
  • 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.2011.6180712
  • Filename
    6180712