• DocumentCode
    3187571
  • Title

    Solved Environmental/Economic Dispatch Based on Multi-objective PSO

  • Author

    Zhang, Libiao ; Xu, Xiangli ; Wang, Sujing ; Ma, Ming ; Zhou, Chunguang ; Sun, Caitang

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    352
  • Lastpage
    355
  • Abstract
    A new multi-objective evolutionary algorithm for Environmental/Economic power Dispatch (EED) problem based on Particle Swarm Optimization (PSO) is proposed in this paper. The new algorithm has adopted the maintenance method of Pareto candidate solution set based on the max-min distance density. The algorithm effectively guarantees the convergence of the algorithm and the diversity solutions. The performance of algorithm has been examined over the standard IEEE 30-bus six-generator test system, and other multi-objective evolutionary algorithm are compared. Testing and comparing results showed this paper algorithm is feasible and efficient.
  • Keywords
    evolutionary computation; particle swarm optimisation; power system economics; IEEE 30-bus six-generator test system; Pareto candidate solution set; environmental-economic power dispatch problem; max-min distance density; multiobjective PSO; multiobjective evolutionary algorithm; particle swarm optimization; Automation; Cost function; Educational institutions; Environmental economics; Evolutionary computation; Fuels; Particle swarm optimization; Power generation; Power generation economics; Power systems; Particle Swarm Optimization; environmental/economic dispatch; multiobjective evolutionary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.470
  • Filename
    5522453