• DocumentCode
    1023685
  • Title

    Genetic algorithm solution of economic dispatch with valve point loading

  • Author

    Walters, David C. ; Sheblé, Gerald B.

  • Author_Institution
    Eastman Chemical Co., Kingsport, TN, USA
  • Volume
    8
  • Issue
    3
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    1325
  • Lastpage
    1332
  • Abstract
    A genetics-based algorithm is proposed to solve an economic dispatch problem for valve point discontinuities. The algorithm utilizes payoff information of candidate solutions to evaluate their optimality. Thus, the constraints of classical LaGrangian techniques on unit curves are circumvented. The formulations of an economic dispatch computer program using genetic algorithms are presented and the program´s performances using two different encoding techniques are compared. The results are verified for a sample problem using a dynamic programming technique
  • Keywords
    genetic algorithms; load dispatching; power system analysis computing; classical LaGrangian techniques; computer program; economic dispatch; genetics-based algorithm; payoff information; valve point discontinuities; valve point loading; Costs; Encoding; Environmental economics; Genetic algorithms; Lagrangian functions; Power generation economics; Power system analysis computing; Power system economics; Power systems; Valves;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.260861
  • Filename
    260861