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An Approach Based on Neural Networks for Identification of Fault Sections in Radial Distribution Systems

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3 Author(s)
Valmir Ziolkowski ; University of São Paulo USP, Department of Electrical Engineering, CP 359, São Carlos, SP, Brazil, valmir.ziolkowski@elektro.com.br ; Ivan Nunes da Silva ; Rogerio Andrade Flauzino

The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process of faults in electric power distribution systems. The developed techniques to treat the proposed problem have used, in an integrated way, several approaches that can contribute to the successful detection process of faults, aiming that it is carried out in a reliable and safe way. The compilations of the results obtained from practical experiments accomplished in a pilot radial distribution feeder have demonstrated that the developed techniques provide accurate results, identifying and classifying efficiently the several occurrences of faults observed in the feeder.

Published in:

Industrial Technology, 2006. ICIT 2006. IEEE International Conference on

Date of Conference:

15-17 Dec. 2006