• DocumentCode
    2030598
  • Title

    Hybrid CLONAL selection algorithm with PSO for valve-point Economic load Dispatch

  • Author

    Nejad, Sogol Babaei ; Elyas, Seyyed Hamid ; Khamseh, Ali ; Moghaddam, Iman Naziri ; Karrari, Mehdi

  • Author_Institution
    Dept. of Electr. Eng., Semnan Univ., Semnan, Iran
  • fYear
    2012
  • fDate
    25-28 March 2012
  • Firstpage
    1147
  • Lastpage
    1150
  • Abstract
    Economic load Dispatch (ED) is one of the most important problems in power system operation. It is a nonlinear non-convex problem which stochastic search algorithms seem to be appropriate solutions. This study tries to propose a new method which is derived from the combination of two different algorithms, CLONAL as the basic algorithm and PSO. The proposed method has been tested on two different systems containing thirteen and forty generators and obtained results have been compared with the results of other stochastic search algorithms. The fascinating results obtained from the comparison ensure the efficiency of the new proposed method.
  • Keywords
    concave programming; electric generators; load dispatching; particle swarm optimisation; power system economics; stochastic programming; PSO; hybrid CLONAL selection algorithm; nonlinear nonconvex problem; particle swarm optimization; power generators; power system operation; stochastic search algorithms; valve-point economic load dispatch; Algorithm design and analysis; Convergence; Economics; Optimization; Particle swarm optimization; Power systems; Vectors; CLONAL Selection Algorithm; Economic Load Dispatch; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
  • Conference_Location
    Yasmine Hammamet
  • ISSN
    2158-8473
  • Print_ISBN
    978-1-4673-0782-6
  • Type

    conf

  • DOI
    10.1109/MELCON.2012.6196631
  • Filename
    6196631