• DocumentCode
    3665246
  • Title

    Study on a fast controlled partition scheme based on improved Dinic max-flow strategy

  • Author

    Fei Tang; Jun Jia; Bo Wang; Qingfen Liao; Jing Wang; Zheng Zhu; Yu Liu

  • Author_Institution
    Department of Electrical Engineering Wuhan University, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    When power system is subjected to severe disturbances and then will be out of step. The interconnected power grid should be split into several islands to avoid blackout. The controlled islanding is an active control technique based on the information from Wide Area Measurement System (WAMS) to accomplish the islanding task. This paper proposes a fast islanding strategy for large power networks. Firstly, the grid structure is mapped to point sets and edge sets in the graph theory. Secondly, the model is built by adopting the minimum power flow impact as the objective function and considering several constraints which includes generator coherency constraint and connective constraint. Finally, the optimal splitting strategy is searched by the improved Dinic maximum flow algorithm. Simulation results on IEEE 118-bus power system show that the proposed strategy is correct, effective and fast.
  • Keywords
    "Generators","Partitioning algorithms","Power system stability","Complexity theory","Clustering algorithms","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7285687
  • Filename
    7285687