Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources
Fault location has been crucial in minimizing fault restoration time. Various techniques and methodologies have been deployed to enhance the performance of fault location algorithms, especially in light of the increasing integration of renewable energy sources. In this context, this paper describes...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10769500/ |
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| author | Victor Gonzalez V. Torres-Garcia Daniel Guillen Luis M. Castro |
| author_facet | Victor Gonzalez V. Torres-Garcia Daniel Guillen Luis M. Castro |
| author_sort | Victor Gonzalez |
| collection | DOAJ |
| description | Fault location has been crucial in minimizing fault restoration time. Various techniques and methodologies have been deployed to enhance the performance of fault location algorithms, especially in light of the increasing integration of renewable energy sources. In this context, this paper describes a graph-theory-based method for fault location in power networks with renewable energy sources. This novel technique is designed to provide accurate fault distance estimates, even in the presence of severe noise and fault resistance. It takes advantage of graph theory and equivalent impedances applying Kirchhoff’s laws systematically to ensure accurate fault location even in the presence of fault resistances. To showcase the improved accuracy of the proposed methodology, a comparison with typical impedance-based two-terminal fault location methods is carried out. The effectiveness of the proposed algorithm was proven with different electrical systems. Average errors inferior to 0.22% and 0.48% were obtained for single-phase faults and three-phase faults with resistances up to <inline-formula> <tex-math notation="LaTeX">$200~\Omega $ </tex-math></inline-formula> respectively, which confirms the improved performance with respect to conventional algorithms implemented in typical impedance relays. |
| format | Article |
| id | doaj-art-e638fe6d503e42bdbf9dfbc589ee31f0 |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-e638fe6d503e42bdbf9dfbc589ee31f02025-01-21T00:03:12ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011161162310.1109/OAJPE.2024.350753710769500Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy SourcesVictor Gonzalez0https://orcid.org/0000-0003-3343-4457V. Torres-Garcia1https://orcid.org/0000-0002-7540-5331Daniel Guillen2https://orcid.org/0000-0001-9569-9691Luis M. Castro3https://orcid.org/0000-0002-0305-6355Postgraduate in Electrical Engineering, National Autonomous University of Mexico (UNAM), Mexico City, MexicoGIIE, National Technological Institute of Mexico, Morelia, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, MexicoDepartment of Electrical Energy, National Autonomous University of Mexico (UNAM), Mexico City, MexicoFault location has been crucial in minimizing fault restoration time. Various techniques and methodologies have been deployed to enhance the performance of fault location algorithms, especially in light of the increasing integration of renewable energy sources. In this context, this paper describes a graph-theory-based method for fault location in power networks with renewable energy sources. This novel technique is designed to provide accurate fault distance estimates, even in the presence of severe noise and fault resistance. It takes advantage of graph theory and equivalent impedances applying Kirchhoff’s laws systematically to ensure accurate fault location even in the presence of fault resistances. To showcase the improved accuracy of the proposed methodology, a comparison with typical impedance-based two-terminal fault location methods is carried out. The effectiveness of the proposed algorithm was proven with different electrical systems. Average errors inferior to 0.22% and 0.48% were obtained for single-phase faults and three-phase faults with resistances up to <inline-formula> <tex-math notation="LaTeX">$200~\Omega $ </tex-math></inline-formula> respectively, which confirms the improved performance with respect to conventional algorithms implemented in typical impedance relays.https://ieeexplore.ieee.org/document/10769500/Algorithmsgraph theoryfault locationimpedance methodstransmission lines |
| spellingShingle | Victor Gonzalez V. Torres-Garcia Daniel Guillen Luis M. Castro Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources IEEE Open Access Journal of Power and Energy Algorithms graph theory fault location impedance methods transmission lines |
| title | Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources |
| title_full | Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources |
| title_fullStr | Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources |
| title_full_unstemmed | Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources |
| title_short | Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources |
| title_sort | graph theory based fault location method for transmission systems with renewable energy sources |
| topic | Algorithms graph theory fault location impedance methods transmission lines |
| url | https://ieeexplore.ieee.org/document/10769500/ |
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