• DocumentCode
    1167152
  • Title

    Parallel simulated annealing for power system decomposition

  • Author

    Mori, Hiroyuki ; Takeda, Koichi

  • Author_Institution
    Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
  • Volume
    9
  • Issue
    2
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    789
  • Lastpage
    795
  • Abstract
    This paper proposes a parallel optimization approach to power system decomposition for voltage control. In this paper, a parallel simulated annealing (PSA) technique is developed to decompose power systems so that subsystems are equally separated in terms of the number of nodes and control variables. System decomposition is one of difficult discrete number combinatorial problems. The PSA technique provides better solutions than the conventional SA because of searching a solution near a global minimum over a wide range. The proposed method is tested in IEEE 30, 57, and 118 node systems
  • Keywords
    combinatorial mathematics; control system analysis; optimal control; power system control; simulated annealing; voltage control; discrete number combinatorial problems; optimization; parallel simulated annealing; power system decomposition; voltage control; Computational modeling; Control systems; Electric variables control; Power system control; Power system security; Power system simulation; Power systems; Simulated annealing; System testing; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.317638
  • Filename
    317638