• DocumentCode
    2971109
  • Title

    A Fast Method of Local Network Topology

  • Author

    Yao, Yubin ; Wang, Dan ; Wang, Chuanqi ; Li, Yong

  • Author_Institution
    Marine Eng. Coll., Dalian Maritime Univ., Dalian
  • fYear
    2008
  • fDate
    2-3 Aug. 2008
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Only few switches in a real-time power system are operated during a short interval between the executions of the network topology algorithm, and switch activities just have local affect on network topology. So a fast local network topology method using optimal search direction is presented in this paper. The proposed method has three main procedures: determining optimal search direction, substation configuration and network configuration. Firstly the proposed method determines generalized overhanging branches and finds the optimal search directions for them. Then the substation configuration reconfigures buses only at substation voltage levels affected by switch activities. At last the network configuration determines network connectivity for islands in optimal search direction which can greatly decrease search scope. The presented method is fast, effective and reliable, and experimental results illustrate the effectiveness of the method.
  • Keywords
    distribution networks; substations; switchgear; transmission networks; generalized overhanging branches; local network topology; network configuration; network connectivity; optimal search direction; real-time power system; substation configuration; switch activities; Intelligent transportation systems; Network topology; Power system analysis computing; Power system control; Power system simulation; Power systems; Search methods; Substations; Switches; Voltage; breadth-first search; generalized overhanging branch; island; local network topology; network connectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Intelligent Transportation System, 2008. PEITS '08. Workshop on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3342-1
  • Type

    conf

  • DOI
    10.1109/PEITS.2008.51
  • Filename
    4634812