• DocumentCode
    1795225
  • Title

    An accurate digital distance protection scheme using neural network in UHV transmission line

  • Author

    Rafique, Syed Furqan ; Kamran, Muhammad ; Tahir, M. ; Khan, Danish ; Ali, Tamer ; Javed Iqbal, M.

  • Author_Institution
    H12 sector, Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1949
  • Lastpage
    1954
  • Abstract
    This paper describes an accurate digital distance relaying scheme integrated with artificial neural network block is developed using zero sequence component of a fault current and conventional ground impedance values, assuming that the conventional ground impedance always have some error impedance associated in it. The modified scheme is immune to the variation in fault location for under reach and overreach problem caused by sequence current components. Several types of test conducted on a 800kV, 400km transmission line for single phase to ground faults as well as simultaneous open conductor fault in PSCAD/EMTP and Matlab. In the end a comparison has been done with the conventional methods in order to check the accuracy and performance of the proposed scheme which is found to be 97%.
  • Keywords
    conductors (electric); earthing; error analysis; fault currents; fault location; mathematics computing; neural nets; power engineering computing; power transmission lines; relay protection; Matlab; PSCAD-EMTP; UHV transmission line; accurate digital distance protection scheme; accurate digital distance relaying scheme; artificial neural network; conventional ground impedance values; distance 400 km; error impedance; fault current; fault location; ground faults; sequence current components; simultaneous open conductor fault; voltage 800 kV; zero sequence component; Artificial neural networks; Conductors; Fault location; Impedance; Impedance measurement; Power transmission lines; Resistance; Artificial neural network; Negative Zero sequence current; simultaneous faults;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007477
  • Filename
    7007477