Title :
A neural network based relaying scheme for distribution system high impedance fault detection
Author :
Sharaf, A.M. ; Snider, L.A. ; Debnath, K.
Author_Institution :
New Brunswick Univ., Fredericton, NB, Canada
Abstract :
The authors present an artificial neural network (ANN)-FFT based novel detection scheme for high impedance faults (HIFs) in electrical distribution networks. The scheme uses an ANN and utilizes a discriminant vector of dominant harmonic sequence magnitudes of negative and zero (-, 0) components of the supply voltages and currents at the substation
Keywords :
distribution networks; fault location; neural nets; power system analysis computing; FFT; currents; discriminant vector; distribution system high impedance fault detection; dominant harmonic sequence magnitudes; electrical distribution networks; high impedance faults; neural network based relaying scheme; substation; supply voltages; Artificial neural networks; Capacitors; Current supplies; Electrical fault detection; Fault detection; Impedance; Neural networks; Relays; Soil; Voltage;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
DOI :
10.1109/ANNES.1993.323013
