• DocumentCode
    924061
  • Title

    A new approach for substation expansion planning

  • Author

    Sepasian, Mohammad Sadegh ; Seifi, Hossein ; Foroud, Asghar Akbari ; Hosseini, Seyyed Hadi ; Kabir, Esmaeil Mohseni

  • Author_Institution
    Power & Water, Ind. Univ., Tehran, Iran
  • Volume
    21
  • Issue
    2
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    997
  • Lastpage
    1004
  • Abstract
    Substation expansion planning (SEP), as a major module of power system planning modules, is addressed in this paper. For long-term transmission SEP, a new approach based on a genetic algorithm (GA) optimization tool is proposed, in which by defining appropriate objective function and various constraints, new as well as expansion of existing substation requirements are determined. The proposed algorithm is successfully tested for the Iranian Power Grid in 2011.
  • Keywords
    genetic algorithms; power grids; power transmission planning; substations; Iranian Power Grid; genetic algorithm optimization tool; long-term transmission; power system planning modules; substation expansion planning; Constraint optimization; Cost function; Dynamic programming; Genetic algorithms; Heuristic algorithms; Linear programming; Power grids; Power system planning; Power systems; Substations; Genetic algorithm (GA); optimization; power system planning; substation expansion planning (SEP);
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.873406
  • Filename
    1626408