High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms
Locating faults in a distribution system (DS) is a challenging task, especially with the increasing integration of distributed generation (DG). Among the various fault types in DSs, high impedance faults (HIFs) are particularly difficult to address due to their low fault currents and erratic behavio...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11048546/ |
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| author | Gabriela Nunes Lopes Pedro I. N. Barbalho Jose Carlos Melo Vieira Denis V. Coury |
| author_facet | Gabriela Nunes Lopes Pedro I. N. Barbalho Jose Carlos Melo Vieira Denis V. Coury |
| author_sort | Gabriela Nunes Lopes |
| collection | DOAJ |
| description | Locating faults in a distribution system (DS) is a challenging task, especially with the increasing integration of distributed generation (DG). Among the various fault types in DSs, high impedance faults (HIFs) are particularly difficult to address due to their low fault currents and erratic behavior, often resulting from contact between a conductor and a low-conductivity surface. Despite of the numerous papers addressing HIFs, there is still a lack of consensus on the most effective metrics and techniques for their detection and location. This article proposes a comprehensive analysis aiming to identify the adequate metrics for artificial intelligent algorithms to locate HIFs in a DS in the presence of DG. This analysis provides valuable insights into developing more efficient HIF location methods. Therefore, these insights are applied to develop a new HIF location method, based on artificial intelligence. The analysis is carried out by evaluating the correlation between almost 11,000 metrics with the HIF distance. The metrics showing the strongest correlation with HIF location are then used as input data for intelligent algorithms designed to accurately estimate the HIF position. Subsequently, these algorithms are evaluated and compared based on their error rates in locating HIFs. Finally, a new intelligent-based method for HIF location in DSs is proposed and extensively evaluated, including a comparison with existing approaches and a generalization analysis, which showed high successful rates and strong potential for practical application. |
| format | Article |
| id | doaj-art-54c138f0cd0f4c2ca73afb7a2a968d45 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-54c138f0cd0f4c2ca73afb7a2a968d452025-08-20T03:27:17ZengIEEEIEEE Access2169-35362025-01-011310846610848010.1109/ACCESS.2025.358235911048546High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent AlgorithmsGabriela Nunes Lopes0https://orcid.org/0000-0002-3540-6401Pedro I. N. Barbalho1https://orcid.org/0000-0002-9344-3796Jose Carlos Melo Vieira2https://orcid.org/0000-0002-0732-9453Denis V. Coury3https://orcid.org/0000-0002-6581-3470Department of Electrical Engineering, School of Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, BrazilDepartment of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, São Paulo, BrazilDepartment of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, São Paulo, BrazilDepartment of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, São Paulo, BrazilLocating faults in a distribution system (DS) is a challenging task, especially with the increasing integration of distributed generation (DG). Among the various fault types in DSs, high impedance faults (HIFs) are particularly difficult to address due to their low fault currents and erratic behavior, often resulting from contact between a conductor and a low-conductivity surface. Despite of the numerous papers addressing HIFs, there is still a lack of consensus on the most effective metrics and techniques for their detection and location. This article proposes a comprehensive analysis aiming to identify the adequate metrics for artificial intelligent algorithms to locate HIFs in a DS in the presence of DG. This analysis provides valuable insights into developing more efficient HIF location methods. Therefore, these insights are applied to develop a new HIF location method, based on artificial intelligence. The analysis is carried out by evaluating the correlation between almost 11,000 metrics with the HIF distance. The metrics showing the strongest correlation with HIF location are then used as input data for intelligent algorithms designed to accurately estimate the HIF position. Subsequently, these algorithms are evaluated and compared based on their error rates in locating HIFs. Finally, a new intelligent-based method for HIF location in DSs is proposed and extensively evaluated, including a comparison with existing approaches and a generalization analysis, which showed high successful rates and strong potential for practical application.https://ieeexplore.ieee.org/document/11048546/High impedance faultsfault locationdistributed generationartificial intelligence |
| spellingShingle | Gabriela Nunes Lopes Pedro I. N. Barbalho Jose Carlos Melo Vieira Denis V. Coury High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms IEEE Access High impedance faults fault location distributed generation artificial intelligence |
| title | High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms |
| title_full | High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms |
| title_fullStr | High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms |
| title_full_unstemmed | High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms |
| title_short | High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms |
| title_sort | high impedance fault location in distribution systems a novel approach with enhanced metrics and intelligent algorithms |
| topic | High impedance faults fault location distributed generation artificial intelligence |
| url | https://ieeexplore.ieee.org/document/11048546/ |
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