• DocumentCode
    2469638
  • Title

    Research on the distributed bio-inspired optimization strategy generator of electricity power enterprises

  • Author

    Liu, Zhong-jing ; Huo, Xiao-jiang ; Huang, Xun-Cheng ; Chen, Xue-Guang

  • Author_Institution
    HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    16-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    At present, the energy-saving & environmental protection dispatching policy is proposed by our country for all power plants, while multiple energy-saving & environmental protection indexes bring a typical non-linear multiple-target decision-making problem, for which nothing can be done by the traditional control method. Therefore, the paper puts forward bionics optimization strategy generator to construct the power generation decision-making information network of power plant set and raises a kind of optimized bionics hardware module based on a hybrid algorithm of ant colony system - the design train of thought for strategy generator.
  • Keywords
    biocybernetics; decision making; distributed power generation; electricity supply industry; energy conservation; environmental factors; optimisation; power engineering computing; power generation dispatch; ant colony system; bionics optimization; distributed bio inspired optimization strategy generator; electricity power enterprise; energy saving; environmental protection; hybrid algorithm; nonlinear multiple target decision making problem; Ant colony optimization; Decision making; Design optimization; Dispatching; Distributed power generation; Hardware; Hybrid power systems; Power generation; Power generation dispatch; Protection; Ant colony algorithm; Ant colony algorithms Genetic algorithm (ACAGA); Bio-inspired hardware; Combinatorial Optimization; Genetic algorithm (GA); Power dispatching; Strategy generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3866-2
  • Electronic_ISBN
    978-1-4244-3867-9
  • Type

    conf

  • DOI
    10.1109/BICTA.2009.5338088
  • Filename
    5338088