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

fYear

1993

fDate

24-26 Nov 1993

Firstpage

321

Lastpage

324

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ANNES.1993.323013

Filename

323013

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2065240