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
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