• DocumentCode
    1374249
  • Title

    Controlled Partitioning of a Power Network Considering Real and Reactive Power Balance

  • Author

    Li, Juan ; Liu, Chen-Ching ; Schneider, Kevin P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    1
  • Issue
    3
  • fYear
    2010
  • Firstpage
    261
  • Lastpage
    269
  • Abstract
    In response to disturbances, a self-healing system reconfiguration that splits a power network into self-sufficient islands can stop the propagation of disturbances and avoid cascading events. This paper proposes an area partitioning algorithm that minimizes both real and reactive power imbalance between generation and load within islands. The proposed algorithm is a smart grid technology that applies a highly efficient multilevel multi-objective graph partitioning technique. Thus, it is applicable to very large power grids. The proposed algorithm has been simulated on a 200- and a 22,000-bus test systems. The results indicate that the proposed algorithm improves the voltage profile of an island after the system reconfiguration compared with the algorithm that only considers real power balance. In doing so, the algorithm maintains the computational efficiency.
  • Keywords
    distributed power generation; graph theory; load shedding; power generation control; reactive power; smart power grids; area partitioning algorithm; load shedding; multilevel multiobjective graph partitioning; power network controlled partitioning; reactive power balance; real power imbalance; self-healing system; smart power grid; voltage profile; Computational efficiency; Control systems; Partitioning algorithms; Power system stability; Reactive power; Real time systems; Cascading events; emergency control; multi-objective graph partitioning; multilevel graph partitioning; power system reconfiguration; wide-area protection and control;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2010.2082577
  • Filename
    5628268