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A neural network based back error propagation relay algorithm for distribution system high impedance fault detection

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3 Author(s)
Sharat, A.M. ; New Brunswick Univ., Fredericton, NB, Canada ; Snider, L.A. ; Debnath, K.

The paper presents a novel FFT based relaying scheme for electric utility-radial distribution high-impedance fault detection. The scheme utilizes a multi-layer feedforward neural network as a fault classifier that maps the discriminant harmonic vector of the three phase residual voltage, current and power magnitudes and phases into fault logic 1 detection. The scheme utilizes only low order harmonics, namely second, third and fifth of the residual voltage, current and power at the substation feeder transformer secondary side

Published in:

Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on

Date of Conference:

7-10 Dec 1993

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