• DocumentCode
    2436269
  • Title

    Research on the non-grid-connected wind power distribution network with the ant colony algorithm

  • Author

    Huang, Xuncheng ; Liu, Zhongjing ; Huo, Xiaojiang ; Tang, Jian ; Yan, ZhiAn ; Qi, Huan

  • Author_Institution
    HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The ant colony algorithm has been successfully used to solve NP problem in many fields. In this paper, a new method to solve power network planning is presented. For a given power network model, this algorithm will find out the best routing path only if it exits. Some examples show that this algorithm is more intelligent and efficient than other ones.
  • Keywords
    computational complexity; optimisation; power distribution planning; wind power; NP hard problem; ant colony algorithm; nongrid-connected wind power distribution network; power network planning; routing path; Ant colony optimization; Earth; Environmental economics; Fossil fuels; Fuel economy; Humans; Power generation economics; Power grids; Power systems; Wind energy; Ant colony algorithm; combinatorial optimization; distribution network planning; non-grid-connected wind power;
  • 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.2009.5335831
  • Filename
    5335831