• DocumentCode
    2101290
  • Title

    Improved Evolutionary Programming & Its Application in Economic Dispatch Problem

  • Author

    Chen, Gonggui

  • Author_Institution
    Dept.of Electr. Eng., Hubei Univ. for Nat., Enshi, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper raises an improved evolutionary programming (IEP) for solving the economic dispatch (ED) problem in power system. In the methodology, a simple evolutionary programming (EP) is used as a basic level search, which can give a good direction to the optimal global region. Then, a local search (LS) procedure is adopted as a fine tuning to determine the optimal solution. The proposed method has been demonstrated to have superior features, including high-quality solution, and stable convergence characteristic. The result of experimentation shows that the proposed method is indeed capable of obtaining higher quality solution efficiently in ED problems of power system.
  • Keywords
    evolutionary computation; power system economics; search problems; economic dispatch problem; improved evolutionary programming; local search procedure; power system; Character generation; Constraint optimization; Cost function; Genetic programming; Optimization methods; Power generation; Power generation economics; Power system economics; Power system simulation; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448744
  • Filename
    5448744