• DocumentCode
    3049151
  • Title

    An efficient algorithm for network reconfiguration in large scale distribution systems

  • Author

    Jeon, Young-Jae ; Kim, Jae-Chul

  • Author_Institution
    Dept. of Electr. Eng., Soongsil Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    1999
  • fDate
    18-22 Jul 1999
  • Firstpage
    243
  • Abstract
    This paper presents an efficient algorithm for loss reduction of distribution system by automatic sectionalizing switch operation in large scale distribution systems. Simulated annealing can avoid escape from local minima by accepting improvements in cost, but the use of this algorithm is also responsible for an excessive computation time requirement. To overcome this major limitation of simulated annealing, we may use modified simulated annealing. All constraints are divided into two constraint groups by using a perturbation mechanism and penalty factor, so all trail solutions are feasible. The polynomial-time cooling schedule is used which is based on the statistics calculation during the search. This approach results in saving CPU time. Numerical examples demonstrate the validity and effectiveness of the proposed methodology using KEPCO´s distribution systems
  • Keywords
    minimisation; polynomials; power distribution planning; power system analysis computing; simulated annealing; CPU time; automatic sectionalizing switch operation; computation time requirement; computer simulation; constraint groups; large-scale distribution network reconfiguration algorithm; loss reduction; modified simulated annealing; penalty factor; perturbation mechanism; polynomial-time cooling schedule; statistics calculation; trail solutions; Computational modeling; Constraint optimization; Cooling; Intelligent networks; Land surface temperature; Large-scale systems; Simulated annealing; Solids; Stationary state; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 1999. IEEE
  • Conference_Location
    Edmonton, Alta.
  • Print_ISBN
    0-7803-5569-5
  • Type

    conf

  • DOI
    10.1109/PESS.1999.784353
  • Filename
    784353