• DocumentCode
    3096593
  • Title

    Fault location for 10kV distribution line based on traveling wave-ANN theory

  • Author

    Yan, Feng ; Liu, Wenxuan ; Tian, Lin

  • Author_Institution
    Electr. Eng. Dept., North China Electr. Power Univ., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    8-9 Sept. 2011
  • Firstpage
    437
  • Lastpage
    440
  • Abstract
    A new method is presented for accurate fault location on a distribution line with branches which integrates the C-type-traveling-wave location method with Artificial Neural Network (ANN). The aim is to improve the accuracy of fault location. There are two steps in the new fault location scheme. The first step is determining the fault distance accurately by C-type of traveling wave location method; the second one is locating the fault branch by ANN method. Both theoretical analyses and ATP simulation demonstrate the feasibility of this composite location method to determine the single phase grounding fault location accurately in the distribution network.
  • Keywords
    fault location; neural nets; power distribution faults; power distribution lines; ATP simulation; C-type-traveling-wave location method; artificial neural network; distribution line; distribution network; single phase grounding fault location; traveling wave-ANN theory; voltage 10 kV; Artificial neural networks; Biological neural networks; Educational institutions; Fault location; Grounding; Training; 10kV distribution line; Artificial Neural Network; fault location; travelling wave signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2011 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9691-4
  • Type

    conf

  • DOI
    10.1109/PEAM.2011.6135094
  • Filename
    6135094