• DocumentCode
    2469616
  • Title

    Power network planning with ant colony algorithm

  • Author

    Huang, Xun-Cheng ; Liu, Zhong-jing ; Huo, Xiao-jiang ; Tang, Jian ; Yan, Zhi-An ; Qi, Huan

  • Author_Institution
    HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    16-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    At present, mathematic model for power grid program has more requirement, traditional method can´t fulfil it. Ant colony algorithm has been successfully used to solve NP problem in many fields. In this paper, a new ant colony algorithm of improving key parameters 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
    optimisation; power system planning; NP problem; ant colony algorithm; power grids; power network planning; Construction industry; Costs; Environmental economics; Power generation economics; Power grids; Power supplies; Power transmission; Propagation losses; Substations; Technology planning; Ant Colony Algorithm; Combinatorial Optimization; Power Network Planning;
  • 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.2009.5338087
  • Filename
    5338087