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A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines
Mohammad Reza AGHAEBRAHIMI Hassan KHORASHADI-ZADEH
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/08/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Recent Advances in Circuits and Systems--Part 2)
fault type detection, fuzzy neuro, transmission lines,
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A novel application of fuzzy-neuro approach to protection of double circuit transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. Using the proposed approach, fault detection, classification and faulted phase selection could be achieved within a quarter of cycle. Results of performance studies show that the proposed fuzzy-neuro-based module can improve the performance of conventional fault selection algorithms.