• DocumentCode
    3484385
  • Title

    A new method for overcurrent relay (O/C) using neural network and fuzzy logic

  • Author

    Abyane, Hossien Askarian ; Faez, Karim ; Karegar, Hossien Kazemi

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    1
  • fYear
    1997
  • fDate
    4-4 Dec. 1997
  • Firstpage
    407
  • Abstract
    For coordination of O/C relays, it is necessary to model the relay characteristics and calculate the time dial setting (TDS) of the relays. The O/C relays´ characteristics are normally modeled by a polynomial using a curve fitting technique. A new method for calculating the TDS and t (operating time of O/C relays) based on a neural network and fuzzy logic is used. In this method, fuzzy logic uses the same information as the neural network. Also the variation of t with the TDS is not assumed linear, therefore t is calculated with a high accuracy. In addition, in the method used for determination of the TDS, we do not need to use numerical analysis and mathematical equations, so the calculation speed as well as the accuracy is increased.
  • Keywords
    curve fitting; fuzzy logic; neural nets; overcurrent protection; polynomials; power system analysis computing; relay protection; accuracy; curve fitting; fuzzy logic; neural network; overcurrent relay coordination; polynomial; power system protection; relay characteristics; time dial setting; Circuit faults; Computer errors; Computer networks; Fuzzy logic; Neural networks; Power system faults; Power system protection; Power system relaying; Protective relaying; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
  • Conference_Location
    Brisbane, Qld., Australia
  • Print_ISBN
    0-7803-4365-4
  • Type

    conf

  • DOI
    10.1109/TENCON.1997.647342
  • Filename
    647342