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Artificial intelligent based fault location technique for EHV series-compensated lines

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1 Author(s)
Joorabian, M. ; Sch. of Electr. Eng., Shahid Chamran Univ., Ahwaz, Iran

This paper proposes the use of fuzzy neural networks (FNN) to solve the fault location problem for series-compensated lines. The technique is based on a hybrid intelligent model that integrates artificial neural networks (ANN) and a fuzzy logic system (FLS). The frequency components of the instantaneous three phase voltages and currents derived at the fault locator-end of the line are used to train an ANN to classify the fault type, and a separate FNN is used to accurately locate a fault on EHV series-compensated lines

Published in:

Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on  (Volume:2 )

Date of Conference:

3-5 Mar 1998