• DocumentCode
    3080307
  • Title

    An efficient Particle Swarm Optimization for Economic Dispatch with valve-point effect

  • Author

    Vinodh, K. ; Jothikumar, M. ; Sriramnivas, S. ; Dhivyapragash, R.S.

  • Author_Institution
    Anna Univ., Coimbatore, India
  • fYear
    2008
  • fDate
    10-13 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new efficient approach to economic dispatch (ED) problems with smooth and non smooth cost functions using a particle swarm optimization (PSO) technique. The practical ED problems have nonsmooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any mathematical approaches. In this paper a modified random search technique is employed so that fastest convergence is obtained for the same results published in IEEE Proceedings so far. To show its efficiency and effectiveness, the proposed EPSO is applied to test ED problems, one with smooth cost functions and others with nonsmooth cost functions considering valve-point loading effects. The experimental results show that the proposed EPSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
  • Keywords
    convergence; costing; load dispatching; particle swarm optimisation; search problems; EPSO method; convergence; economic load dispatch; modified random search technique; nonsmooth cost functions; particle swarm optimization; power system operation; valve-point loading effects; Automation; Communication system control; Constraint optimization; Cost function; Dynamic programming; Mathematical programming; Particle swarm optimization; Power generation economics; Protection; Slag; Economic load dispatch; Particle swarm optimization; Valve point loading effects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution, 2008. CICED 2008. China International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-3373-5
  • Electronic_ISBN
    978-1-4244-3372-8
  • Type

    conf

  • DOI
    10.1109/CICED.2008.5211639
  • Filename
    5211639