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Neural network based classifier for power system protection
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DOI：10.1016/S0378-7796(96)01185-6.png)
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This paper presents a novel technique for classifying power system faults and hence performing the function of a protective relay. An artificial neural network model is developed and trained, using a data-base 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. (C) 1997 Elsevier Science S.A.
Keyword:
system protection
artificial neural network applications
EMTDC simulation
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