Implementation of a neural network based fault classifier for power system protection

This paper presents a novel technique for classifying power system faults and hence performing the function of a protective relay. An artificial neural network (ANN) model is developed and trained, using a database consisting of the results of transient and steady state performance of the power syst...

Full description

Saved in:
Bibliographic Details
Main Authors: Keerthipala, W.W.L., Chan Tat Wai, Kee Chin Siang, Hu Leong Peng
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Neural networks
Power system faults
Power system modeling
Power system protection
Power system relaying
Power system transients
Protective relaying
Spatial databases
Steady-state
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a novel technique for classifying power system faults and hence performing the function of a protective relay. An artificial neural network (ANN) model is developed and trained, using a database consisting of the results of transient and steady state performance of the power system, to capture all of the salient features and form a single relay module. The trained module is tested on a prototype power system, and found to give reasonably accurate results for classification of faults.
DOI:10.1109/ICSMC.1995.537961