• DocumentCode
    1702283
  • Title

    High speed offset free distance relaying algorithm using multilayer feedforward neural networks

  • Author

    Kang, Sang-Hee ; Kim, Kwang-Ho ; Cho, Kyung-Rae ; Park, Jong-Keun

  • Author_Institution
    Dept. of Electr. Eng., Myongji Univ., Yongin, South Korea
  • fYear
    1996
  • Firstpage
    210
  • Lastpage
    214
  • Abstract
    A new high-speed digital distance relaying algorithm using artificial neural networks is presented. The proposed artificial neural network models are trained with the input patterns of distorted voltage and current signals passed a lowpass filter and with the target patterns of real and imaginary components of DC-offset free current and voltage signals conditioned by a DC-offset removing algorithm. The artificial neural networks play the roles of a DC-offset removing filter and a Fourier filter. In accordance with a series of tests, the relay operating time is less than 9 ms after faults in a 80 km, 154 kV, 60 Hz overhead transmission line system
  • Keywords
    feedforward neural nets; low-pass filters; multilayer perceptrons; power filters; power overhead lines; power system control; power system protection; power system relaying; power transmission lines; transmission networks; 154 kV; 60 Hz; 80 km; 9 ms; DC-offset free current signals; DC-offset free voltage signals; DC-offset removing algorithm; Fourier filter; computer simulation; digital distance relaying algorithm; lowpass filter; multilayer feedforward neural networks; overhead transmission line system; power systems; relay operating time; Artificial neural networks; Digital relays; Distortion; Filters; Multi-layer neural network; Nonhomogeneous media; Power transmission lines; Protective relaying; System testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-3115-X
  • Type

    conf

  • DOI
    10.1109/ISAP.1996.501070
  • Filename
    501070