A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.8 pp.1920-1922
- Publication Date
- 2005/08/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.8.1920
- Type of Manuscript
- Special Section LETTER (Special Section on Recent Advances in Circuits and Systems--Part 2)
- Category
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Mohammad Reza AGHAEBRAHIMI, Hassan KHORASHADI-ZADEH, "A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 8, pp. 1920-1922, August 2005, doi: 10.1093/ietisy/e88-d.8.1920.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.8.1920/_p
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@ARTICLE{e88-d_8_1920,
author={Mohammad Reza AGHAEBRAHIMI, Hassan KHORASHADI-ZADEH, },
journal={IEICE TRANSACTIONS on Information},
title={A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines},
year={2005},
volume={E88-D},
number={8},
pages={1920-1922},
abstract={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.},
keywords={},
doi={10.1093/ietisy/e88-d.8.1920},
ISSN={},
month={August},}
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TY - JOUR
TI - A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines
T2 - IEICE TRANSACTIONS on Information
SP - 1920
EP - 1922
AU - Mohammad Reza AGHAEBRAHIMI
AU - Hassan KHORASHADI-ZADEH
PY - 2005
DO - 10.1093/ietisy/e88-d.8.1920
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2005
AB - 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.
ER -
English
