• DocumentCode
    1876965
  • Title

    Faulted-phase selection scheme for China 500kV transmission line based on wavelet transforms and artificial intelligence

  • Author

    Jianyi Chen ; Aggarwal, Raj K. ; Yuping Lu

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
  • fYear
    2012
  • fDate
    8-9 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper extends the application of a previously developed faulted-phase selection scheme to China 500kV transmission line. The scheme is based on wavelet transform and artificial intelligence technique and is implemented and examined using MATLAB Simulink. Various types of fault taking place at different inception angles, different phases, and different locations in this specific transmission line system are simulated and used to validate the scheme. The results show that the proposed scheme is robust and accurate. And most importantly, its performance is independent of the power transmission system type.
  • Keywords
    artificial intelligence; power engineering computing; power transmission faults; power transmission lines; wavelet transforms; China transmission line system; Matlab-Simulink; artificial intelligence technique; faulted-phase selection scheme; inception angles; power transmission system; voltage 500 kV; China transmission line; neural networks; phase selection; wavelet transform;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
  • Conference_Location
    Hangzhou
  • Electronic_ISBN
    978-1-84919-673-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.1852
  • Filename
    6493171