Fault Classification in Distribution Systems Bsaed on Fault Current Angles

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.