• DocumentCode
    3102031
  • Title

    A genetic algorithm for economic dispatching of generators

  • Author

    Rizk, Nouhad J.

  • Author_Institution
    Comput. Sci. Dept., Notre Dame Univ., Jounie, Lebanon
  • fYear
    2004
  • fDate
    19-23 April 2004
  • Firstpage
    533
  • Lastpage
    534
  • Abstract
    Solving economic dispatching problems in which generators suffer from prohibited zones is a challenging problem. In this paper, a solution based on genetic algorithm (GA) is suggested. An advantage of GA solutions is that they do not impose any convexity restrictions on the generators cost functions. Therefore, they are well suited to deal with prohibited operating zones.
  • Keywords
    cost-benefit analysis; econometrics; genetic algorithms; power generation dispatch; statistical testing; cost function; fitness function; generators economic dispatch; genetic algorithm; Cost function; Dispatching; Feeds; Fuel economy; Genetic algorithms; Power generation economics; Power industry; Power system economics; Production; Pumps;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
  • Print_ISBN
    0-7803-8482-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2004.1307867
  • Filename
    1307867
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3102031