• DocumentCode
    1181110
  • Title

    A Novel ACS-Based Optimum Switch Relocation Method

  • Author

    Teng, J. H. ; Liu, Y. H.

  • Author_Institution
    I-Shou University; Energy Resource Labs., ITRI
  • Volume
    22
  • Issue
    12
  • fYear
    2002
  • Firstpage
    60
  • Lastpage
    61
  • Abstract
    A cooperative agent algorithm, the ant colony system (ACS), for optimum switch relocation is proposed. Switch relocation is a useful tool for distribution automation, since it can reduce the interruption costs without additional capital investments. The formulation of switch relocation is a combinatorial optimization problem with nonlinear and nondifferential objective function. The authors choose the ACS to solve the problem since it has the characteristics of positive feedback, distributed computation, and the use of a constructive greedy heuristic. One of the main goals of this paper is to investigate the applicability of the ACS-based algorithm in the power system optimization problems. Test results show that the proposed ACS-based algorithm can offer a near-optimum solution for switch relocation. The comparisons of the proposed method with a genetic-algorithm-based method are also shown in the test results to demonstrate the values of the proposed method.
  • Keywords
    Circuit breakers; Genetic algorithms; Observability; Phasor measurement units; Power generation; Sorting; State estimation; Switches; Wind energy; Wind energy generation; Ant colony system; customer interruption cost; distribution automation; genetic algorithm; reliability improvement; switch relocation;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.4311910
  • Filename
    4311910