• DocumentCode
    2732777
  • Title

    An ACO algorithm for service restoration in power distribution systems

  • Author

    Watanabe, Isamu

  • Author_Institution
    Syst. Eng. Res. Lab., Central Res. Inst. of Electr. Power Ind., Tokyo, Japan
  • Volume
    3
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    2864
  • Abstract
    Service restoration in power distribution systems involves operating the line switches to restore as many loads as possible for the areas isolated by a fault. In service restoration, not only the final network configuration but also the sequence of switching operations is important. This paper proposes an ant colony optimization algorithm for a minimization problem of energy not supplied (ENS) during restoration process. The proposed algorithm based on a hypercube framework (HC-ACO) searches for an optimal switching sequence, and the solution provides an effective service restoration strategy that improves system reliability. The numerical results with a test power system demonstrate the performance of the proposed algorithm.
  • Keywords
    fault diagnosis; hypercube networks; minimisation; particle swarm optimisation; power distribution faults; power distribution reliability; ACO algorithm; ant colony optimization; final network configuration; hypercube framework; load restoration; minimization problem; optimal switching sequence search; power distribution system service restoration; switching operation sequence; test power system; Ant colony optimization; Laboratories; Minimization methods; Power distribution; Power engineering and energy; Power system restoration; Reliability; Scheduling algorithm; Switches; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1555054
  • Filename
    1555054