A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines

Mohammad Reza AGHAEBRAHIMI  Hassan KHORASHADI-ZADEH  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E88-D   No.8   pp.1920-1922
Publication Date: 2005/08/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.8.1920
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Recent Advances in Circuits and Systems--Part 2)
Category: 
Keyword: 
fault type detection,  fuzzy neuro,  transmission lines,  

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Summary: 
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.