• DocumentCode
    2394492
  • Title

    A rule-based tabu search technique for power system decomposition

  • Author

    Mori, Hiroyuki ; Matsuzaki, Osamu

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Meiji Univ., Kawasaki, Japan
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1990
  • Abstract
    This paper presents a new rule-based tabu search technique for power system decomposition. In this paper, power system decomposition is considered to deal with distributed voltage and reactive power control. The formulation of power system decomposition may be expressed as a complicated combinatorial optimization problem. It is not easy to evaluate a global minimum or its approximate solution in large-scale systems. As one of meta-heuristics, tabu search (TS) is better than others in the sense that it allows better evaluation of a solution close to a global minimum. However, it is inclined to increase the size of the solution neighborhood as power systems become larger. Thus, it is important to reduce the number of solution candidates in the neighborhood. This paper proposes a rule-based tabu search method to solve the problem efficiently. Different rules of power system decomposition are introduced into TS to reduce the solution neighborhood. The effectiveness of the proposed method is demonstrated in sample systems
  • Keywords
    combinatorial mathematics; optimisation; power system control; reactive power control; search problems; voltage control; combinatorial optimization; distributed voltage control; global minimum; large-scale systems; meta-heuristics; power system decomposition; reactive power control; rule-based tabu search technique; Cooling; Dynamic programming; Genetic algorithms; Large-scale systems; Power system control; Power system simulation; Power systems; Simulated annealing; Stochastic processes; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2000. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-6420-1
  • Type

    conf

  • DOI
    10.1109/PESS.2000.866952
  • Filename
    866952