• DocumentCode
    3417675
  • Title

    A PSO algorithm for the economic load dispatch including a renewable wind energy

  • Author

    Benhamida, F. ; Salhi, Y. ; Ziane, I. ; Souag, S. ; Belhachem, R. ; Bendaoud, Abdelber

  • Author_Institution
    Dept. of Electrotechnics, UDL Univ. of Sidi Bel Abbes, Sidi Bel Abbes, Algeria
  • fYear
    2013
  • fDate
    29-31 Oct. 2013
  • Firstpage
    1104
  • Lastpage
    1109
  • Abstract
    Economic load dispatch among thermal units is one of the most important problems in power systems operation. Usually so called equal marginal cost criterion is adopted to this calculation. Recently global trend of utilizing more and more renewable energy such as wind power makes this problem more important than ever. With the continuing search for alternatives to conventional energy sources, it is necessary to include wind energy generators (WEG) in the ELD problem. This paper presents a solution of economic load dispatch incorporation wind energy using a particle swarm optimization algorithm (PSO). The effect of wind energy generators system inclusion on ELD problem is investigated, with the source wind susceptible to short duration variations, which is the uncertainty of wind speed around a short-duration- stable mean value. A 6 and 20 unit test system is resolved using PSO to illustrate the variation in the optimal cost, losses, and system-λ with the variation of short-duration-stable mean wind speed.
  • Keywords
    load dispatching; particle swarm optimisation; wind power; wind power plants; PSO; economic load dispatch; energy sources; particle swarm optimization; power systems; renewable energy; renewable wind energy; thermal units; wind energy generators system; Convergence; Economics; Generators; Propagation losses; Wind energy; Wind power generation; Wind speed; Economic load dispatch (ELD); particle swarm optimization (PSO) algorithm; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control (ICSC), 2013 3rd International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4799-0273-6
  • Type

    conf

  • DOI
    10.1109/ICoSC.2013.6750992
  • Filename
    6750992