• DocumentCode
    2436122
  • Title

    Study of distributing a bio-inspired optimization strategy generator in energy-saving power dispatching

  • Author

    Liu, Zhongjing ; Huo, Xiaojiang ; Huang, Xuncheng ; Chen, Xueguang

  • Author_Institution
    HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    At present, the energy-saving and environmental protection dispatching policy is proposed by our country for all power plants, while multiple energy-saving and environmental protection indexes bring forth a typical non-linear multiple-target decision-making problem, for which nothing can be done by way of the traditional control method. Thus, the paper proposes a bionics optimization strategy generator to construct the power generation decision-making information network of power plant sets and supports a kind of optimized bionics hardware module based on a hybrid algorithm of the ant colony system - the design train of thought for strategy generation.
  • Keywords
    biocybernetics; decision making; energy conservation; environmental factors; optimisation; power engineering computing; power generation dispatch; power generation scheduling; ant colony system; bioinspired optimization strategy generator; bionics hardware module; bionics optimization strategy generator; energy saving power dispatching; environmental protection dispatching policy; hybrid algorithm; non linear multiple target decision making problem; power generation decision making information network; Ant colony optimization; Decision making; Design optimization; Dispatching; Hardware; Hybrid power systems; Power generation; Power generation dispatch; Power generation economics; Power system protection; (ACAGA); Ant colony algorithm; bio-inspired hardware; combinatorial optimization; genetic algorithm(GA); power dispatching; strategy generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Non-Grid-Connected Wind Power and Energy Conference, 2009. WNWEC 2009
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4702-2
  • Type

    conf

  • DOI
    10.1109/WNWEC.2009.5335823
  • Filename
    5335823