• DocumentCode
    1704832
  • Title

    A New Algorithm for Distribution Network Planning

  • Author

    Ke Xianbo ; Gao Weixin

  • Author_Institution
    Xi´an Jiao Tong Univ., Xi´an
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new algorithm, which is based on Hopfield neural network, to plan distribution power network. The algorithm changes distribution network planning problem into a directed graph-planning problem. The Hopfield neural network is not designed to decide which alternative line should be selected, but to decide the in-degree of each node, so the calculation result is a radical directed graph. By this way, the distribution network is determined simultaneously. The energy function and algorithm for planning the distribution network are also given. An example shows the proposed Hopfield neural network can successfully plan distribution power network.
  • Keywords
    Hopfield neural nets; directed graphs; power distribution planning; power system analysis computing; Hopfield neural network; directed graph-planning problem; distribution power network planning; energy function; radical directed graph; Genetic algorithms; Hopfield neural networks; Investments; Mathematical model; Neural networks; Power system modeling; Power system planning; Substations; Urban planning; Voltage; Distribution Network; Neural network; Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2006. PowerCon 2006. International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    1-4244-0110-0
  • Electronic_ISBN
    1-4244-0111-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2006.321570
  • Filename
    4116117