• DocumentCode
    2911254
  • Title

    Application of grey relational analysis to fault type identification on power transmission line

  • Author

    Zhijun, Long

  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    167
  • Lastpage
    171
  • Abstract
    The speed and accuracy of digital relays of transmission lines can be improved by accurate and fast fault type identification, and this also allows single pole tripping and auto-reclosure to be employed. Conventional selection schemes, however, have defects. A fault phase selector, based on grey relational analysis (GRA), is proposed in this paper. Experiments are given in this paper, the actual fault data of transmission line is compared with all kinds of fault types got by RTDS (real time digital simulation), the type of fault-phase is found lastly. The experiments´ result is accuracy, so the GRA based fault type identification method proposed in this paper is reliable and feasible.
  • Keywords
    fault location; grey systems; power transmission faults; power transmission lines; GRA-based fault phase selector; digital relays; fault type identification; grey relational analysis; power transmission line; single pole tripping; Artificial neural networks; Circuit faults; Fault diagnosis; Power generation; Power system faults; Power system relaying; Power system reliability; Power system stability; Power transmission lines; Transmission line theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443259
  • Filename
    4443259