• DocumentCode
    3282389
  • Title

    Fault phase selection and distance location based on ANN and S-transform for transmission line in triangle network

  • Author

    Shu, Hongchun ; Wu, Qianjin ; Wang, Xu ; Tian, Xincui

  • Author_Institution
    Fac. of Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3217
  • Lastpage
    3219
  • Abstract
    This paper presents artificial neutral network algorithm for fault type classification and fault distance location for all the types of faults for transmission line in triangle network. This technology uses only one end data and accurate fault distance location fault type identifying is achieved after half cycle from the inception of fault. The proposed Artificial Neutral Network (ANN) based fault distance locator and fault distance locator uses transient energy which are extracted by S-transform. An improved performance is obtained once the neutral network is trained suitably, thus performance correctly when faced with different system parameters and conditions i.e. varying fault type, fault location, fault resistance, fault inception angle.
  • Keywords
    fault location; neural nets; transmission lines; S-transform; artificial neutral network; fault distance location; fault phase selection; transmission line; triangle network; Artificial neural networks; Classification algorithms; Fault location; Manganese; Power transmission lines; Resistance; Artificial Neutral Network; S-transform; fault distance location; fault phase selection; transmission line in triangle network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5648109
  • Filename
    5648109