Title :
Distribution system to fault classification using negative sequence and intelligent system
Author :
Oliveira, A.R. ; Garcia, P.A.N. ; Oliveira, L.W. ; Pereira, J.L.R. ; Silva, H.A.
Author_Institution :
Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil
Abstract :
This paper presents a new fault classification scheme for electrical distribution networks using a negative sequence factor (F2) and artificial neural networks. The main objective is to develop a novel methodology to block the reclosers to avoid accidents with energized cables lying to ground. The proposed algorithm is able to identify the following fault types: shunt, series and simultaneous shunt-series with the line cable lying either on the side of the source or load. In order to check the effectiveness of the proposed methodology the 13 bus distribution test system was used.
Keywords :
fault location; neural nets; pattern classification; power distribution faults; power engineering computing; artificial neural network; distribution system; electrical distribution network; fault classification; intelligent system; line cable; negative sequence factor; recloser; shunt fault; simultaneous shunt-series fault; Circuit faults; Intelligent systems; Protection of distribution networks; fault classification; negative sequence factor; neural networks;
Conference_Titel :
Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on
Conference_Location :
Hersonissos
Print_ISBN :
978-1-4577-0807-7
Electronic_ISBN :
978-1-4577-0808-4
DOI :
10.1109/ISAP.2011.6082174
