• DocumentCode
    3213412
  • Title

    Economic Dispatch using Particle Swarm Optimization for combined cycle generators

  • Author

    Konash, O. ; El-Sharakawi, M.

  • Author_Institution
    King Fahd Univ. in Dhahran, Dhahran
  • fYear
    2009
  • fDate
    15-18 March 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    In this paper the economic dispatch (ED) problem is solved using particle swarm optimization (PSO) technique. This technique is discussed in details along with a case study. An enhanced approach to overcome trapping in local minimum is also explained. As it is known combined cycle generators cost curve are non-continues, one of the best ways to solve an ED for a non-continues cost curve is using PSO. For a first step a system with ten generators will be solved then one of the generators will be replaced with a Co-gen.
  • Keywords
    combined cycle power stations; particle swarm optimisation; power generation dispatch; power generation economics; Co-gen; combined cycle generators; economic dispatch; noncontinues cost curve; particle swarm optimization; Bellows; Birds; Cost function; Differential equations; Flowcharts; Lagrangian functions; Particle swarm optimization; Power generation; Power generation economics; Random number generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-3810-5
  • Electronic_ISBN
    978-1-4244-3811-2
  • Type

    conf

  • DOI
    10.1109/PSCE.2009.4839933
  • Filename
    4839933