Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines
This paper presents a method of inter-circuit and intra-circuit fault detection in a double-circuit transmission line based on the analysis of six-phase current signals of a single terminal. The method is developed by analyzing the output results of several mathematical integral transforms, includin...
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Elsevier
2025-03-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671125000117 |
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| author | Mahyar Abasi Pirooz Gorjian |
| author_facet | Mahyar Abasi Pirooz Gorjian |
| author_sort | Mahyar Abasi |
| collection | DOAJ |
| description | This paper presents a method of inter-circuit and intra-circuit fault detection in a double-circuit transmission line based on the analysis of six-phase current signals of a single terminal. The method is developed by analyzing the output results of several mathematical integral transforms, including the modified Stockwell, Hilbert, and modal transforms. The algorithm is designed in three steps. In the first step, by investigating the alpha component of the modal transform, it can be recognized that the fault is single-circuit or double-circuit. Then, in the second step, by analyzing the zero component of the modal transform, it can be identified if the fault is grounded or not. In the third step, by using the analysis of a new index based on the combination of modified Stockwell and Hilbert transforms and a statistical index based on correlation, the faulty phase of the double-circuit line can be identified. The method is coded in the MATLAB environment and the test network is modeled in MATLAB/Simulink. The implementation results of different fault scenarios as well as the analysis of the algorithm's behavior under critical conditions validates the algorithm's high performance. |
| format | Article |
| id | doaj-art-b3f0ff05246e49d796c8992044485b1c |
| institution | Kabale University |
| issn | 2772-6711 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj-art-b3f0ff05246e49d796c8992044485b1c2025-01-24T04:46:03ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112025-03-0111100904Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission linesMahyar Abasi0Pirooz Gorjian1Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran; Research Institute of Renewable Energy, Arak University, Arak 38156-8-8349, Iran; Corresponding author at: Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran.Department of Electrical and ICT, Faculty of Technical Engineering, Institute for Higher Education, ACECR, Khouzestan, IranThis paper presents a method of inter-circuit and intra-circuit fault detection in a double-circuit transmission line based on the analysis of six-phase current signals of a single terminal. The method is developed by analyzing the output results of several mathematical integral transforms, including the modified Stockwell, Hilbert, and modal transforms. The algorithm is designed in three steps. In the first step, by investigating the alpha component of the modal transform, it can be recognized that the fault is single-circuit or double-circuit. Then, in the second step, by analyzing the zero component of the modal transform, it can be identified if the fault is grounded or not. In the third step, by using the analysis of a new index based on the combination of modified Stockwell and Hilbert transforms and a statistical index based on correlation, the faulty phase of the double-circuit line can be identified. The method is coded in the MATLAB environment and the test network is modeled in MATLAB/Simulink. The implementation results of different fault scenarios as well as the analysis of the algorithm's behavior under critical conditions validates the algorithm's high performance.http://www.sciencedirect.com/science/article/pii/S2772671125000117Double-circuit transmission lineSingle-circuit and intra-circuit faultFault detection and classificationMathematical and statistical transform |
| spellingShingle | Mahyar Abasi Pirooz Gorjian Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines e-Prime: Advances in Electrical Engineering, Electronics and Energy Double-circuit transmission line Single-circuit and intra-circuit fault Fault detection and classification Mathematical and statistical transform |
| title | Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines |
| title_full | Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines |
| title_fullStr | Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines |
| title_full_unstemmed | Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines |
| title_short | Detection and classification of single-circuit and intra-circuit faults based on analysis of current signals of near-end terminal in double-circuit transmission lines |
| title_sort | detection and classification of single circuit and intra circuit faults based on analysis of current signals of near end terminal in double circuit transmission lines |
| topic | Double-circuit transmission line Single-circuit and intra-circuit fault Fault detection and classification Mathematical and statistical transform |
| url | http://www.sciencedirect.com/science/article/pii/S2772671125000117 |
| work_keys_str_mv | AT mahyarabasi detectionandclassificationofsinglecircuitandintracircuitfaultsbasedonanalysisofcurrentsignalsofnearendterminalindoublecircuittransmissionlines AT piroozgorjian detectionandclassificationofsinglecircuitandintracircuitfaultsbasedonanalysisofcurrentsignalsofnearendterminalindoublecircuittransmissionlines |