Classificação de Faltas em Sistemas de Distribuição de Energia Elétrica Baseado nos Ângulos da Correntes de Defeito (Fault Classification in Distribution Systems Bsaed on Fault Current Angles)

Angelo Rocha Oliveira (, Paulo Augusto Nepomuceno Garcia (, Leonardo Willer Oliveira (, Edimar José Oliveira (, Helio Antonio Silva (


This paper appears in: Revista IEEE América Latina

Publication Date: Jan. 2016
Volume: 14,   Issue: 1 
ISSN: 1548-0992

This paper presents an intelligent fault classification scheme to distribution systems by using artificial neural networks associated with fault current angles information. The objective is to classify series, shunt and simultaneous faults with cable either on the source or on the load side. Results show that the scheme is efficient to detect cable disruption, improving distribution system security. The IEEE distribution test feeders are used to show the effectiveness of the proposed approach.

Index Terms:
Fault Classification, Cable Disruption, Artificial Neural Networks, Fault Current Angles.   

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