• DocumentCode
    3237304
  • Title

    Particle Swarm Optimization for economic dispatch problems with valve-point effects

  • Author

    Deep, Kusum ; Bansal, Jagdish Chand

  • Author_Institution
    Dept. of Math., Indian Inst. of Technol. Roorkee, Roorkee, India
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    1395
  • Lastpage
    1398
  • Abstract
    Laplace Crossover Particle Swarm Optimization (LXPSO) is a variant of Particle Swarm Optimization (PSO) which employs Laplace Crossover to PSO. LXPSO is already proven to be cost effective and reliable for the test problems of continuous optimization. Economic dispatch (ED) problem is one of the fundamental issues in power system operations. The problem of economic dispatch turns out to be a continuous optimization problem which is solved using original PSO and its variant LXPSO in expectation of better results. Results are also compared with the earlier published results.
  • Keywords
    particle swarm optimisation; power system economics; valves; Laplace crossover particle swarm optimization; continuous optimization problem; economic dispatch problems; power system operations; valve-point effects; Economics; Optimization; Economic Dispatch; Laplace Crossover; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645606
  • Filename
    5645606