A neural network based relaying scheme for distribution system high impedance fault detection
- 30 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
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
This publication has 7 references indexed in Scilit:
- Unique aspects of distribution system harmonics due to high impedance ground faultsIEEE Transactions on Power Delivery, 1990
- A neural network approach to the detection of incipient faults on power distribution feedersIEEE Transactions on Power Delivery, 1990
- Ground resistance-revisitedIEEE Transactions on Power Delivery, 1989
- Detection of Distribution High Impedance Faults Using Burst Noise Signals near 60 HZIEEE Transactions on Power Delivery, 1987
- Status of High Impedance Fault DetectionIEEE Transactions on Power Apparatus and Systems, 1985
- Development and Testing of an Electro-Mechanical Relay to Detect Fallen Distribution ConductorsIEEE Transactions on Power Apparatus and Systems, 1982
- Detection of High Impedance Faults on Multi-Grounded Primary Distribution SystemsIEEE Transactions on Power Apparatus and Systems, 1981