Artificial neural networks for single phase fault detection in resonant grounded power distribution systems

Author

Assef, Yasmine ; Bastard, Patrick ; Meunier, Michel

Author_Institution

Ecole Superieure d´´Electr., Gif-sur-Yvette, France

fYear

1996

fDate

15-20 Sep 1996

Firstpage

566

Lastpage

572

Abstract

This paper presents a new protection algorithm for the detection of single phase-to-ground faults in a power distribution network with compensated neutral grounding. This algorithm, based on the comparison of the residual current and phase currents, uses artificial neural networks. This method is tested with EMTP simulations as well as with experimental data which are closer to reality. Hence, the efficiency of the algorithm is shown

Keywords

distribution networks; earthing; fault location; neural nets; power system protection; EMTP simulations; algorithm efficiency; artificial neural networks; compensated neutral grounding; phase currents; protection algorithm; residual current; resonant grounded power distribution systems; single phase fault detection; single phase-to-ground faults; Artificial neural networks; EMTP; Electrical fault detection; Fault detection; Intelligent networks; Power distribution; Power system protection; Power system relaying; Power systems; Resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference, 1996. Proceedings., 1996 IEEE

Conference_Location

Los Angeles, CA

Print_ISBN

0-7803-3522-8

Type

conf

DOI

10.1109/TDC.1996.547573

Filename

547573