High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis
High Impedance Faults (HIFs) are recurring events in electrical Distribution Systems (DSs) and occur by the contact between energized conductors and high impedance surfaces. HIFs may pose hazards to living beings and cause bushfires. However, the HIF protection has not been completely solved due to...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Open Access Journal of Power and Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10042433/ |
| _version_ | 1827378883268182016 |
|---|---|
| author | Gabriela N. Lopes Thiago S. Menezes Douglas P. S. Gomes Jose Carlos M. Vieira |
| author_facet | Gabriela N. Lopes Thiago S. Menezes Douglas P. S. Gomes Jose Carlos M. Vieira |
| author_sort | Gabriela N. Lopes |
| collection | DOAJ |
| description | High Impedance Faults (HIFs) are recurring events in electrical Distribution Systems (DSs) and occur by the contact between energized conductors and high impedance surfaces. HIFs may pose hazards to living beings and cause bushfires. However, the HIF protection has not been completely solved due to the small fault current and varying impedance, inhibiting traditional protection techniques from functioning correctly. In the literature, researchers have mainly focused on detection techniques. Thus, the development of HIF Location Methods (HIFLMs) is recent, and evidences for conclusive solutions are still lacking. Moreover, to this date, no existing study reviews the main challenges concerning HIFLMs in DSs. This paper proposes a systematic analysis of the common stages to design the main existing HIFLMs. The strategy is evaluating the similar characteristics that pose a common research path regarding challenges faced in real-world conditions. Additionally, this paper proposes a case study to assess the best input signals, metrics, and machine learning-based decision algorithms of a new HIFLM. The results are promising, with high identification rates, even in noisy conditions. The methodology can help to select the datasets for supervised learning-based HIFLM. Highlighting the state-of-art of current methods and support development of HIFLMs are this paper’s main contributions. |
| first_indexed | 2024-03-08T13:04:18Z |
| format | Article |
| id | doaj.art-7b991f0497e348c4939f7e7aec3ffe9b |
| institution | Directory Open Access Journal |
| issn | 2687-7910 |
| language | English |
| last_indexed | 2024-03-08T13:04:18Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj.art-7b991f0497e348c4939f7e7aec3ffe9b2024-01-19T00:01:39ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102023-01-011043844910.1109/OAJPE.2023.324434110042433High Impedance Fault Location Methods: Review and Harmonic Selection-Based AnalysisGabriela N. Lopes0https://orcid.org/0000-0002-3540-6401Thiago S. Menezes1https://orcid.org/0000-0002-4183-2802Douglas P. S. Gomes2https://orcid.org/0000-0003-2610-0678Jose Carlos M. Vieira3https://orcid.org/0000-0002-0732-9453Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, BrazilDepartment of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, BrazilCollege of Engineering and Science, Victoria University, Melbourne, VIC, AustraliaDepartment of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, BrazilHigh Impedance Faults (HIFs) are recurring events in electrical Distribution Systems (DSs) and occur by the contact between energized conductors and high impedance surfaces. HIFs may pose hazards to living beings and cause bushfires. However, the HIF protection has not been completely solved due to the small fault current and varying impedance, inhibiting traditional protection techniques from functioning correctly. In the literature, researchers have mainly focused on detection techniques. Thus, the development of HIF Location Methods (HIFLMs) is recent, and evidences for conclusive solutions are still lacking. Moreover, to this date, no existing study reviews the main challenges concerning HIFLMs in DSs. This paper proposes a systematic analysis of the common stages to design the main existing HIFLMs. The strategy is evaluating the similar characteristics that pose a common research path regarding challenges faced in real-world conditions. Additionally, this paper proposes a case study to assess the best input signals, metrics, and machine learning-based decision algorithms of a new HIFLM. The results are promising, with high identification rates, even in noisy conditions. The methodology can help to select the datasets for supervised learning-based HIFLM. Highlighting the state-of-art of current methods and support development of HIFLMs are this paper’s main contributions.https://ieeexplore.ieee.org/document/10042433/Distribution systemhigh impedance fault locationStockwell transformrandom forest |
| spellingShingle | Gabriela N. Lopes Thiago S. Menezes Douglas P. S. Gomes Jose Carlos M. Vieira High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis IEEE Open Access Journal of Power and Energy Distribution system high impedance fault location Stockwell transform random forest |
| title | High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis |
| title_full | High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis |
| title_fullStr | High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis |
| title_full_unstemmed | High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis |
| title_short | High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis |
| title_sort | high impedance fault location methods review and harmonic selection based analysis |
| topic | Distribution system high impedance fault location Stockwell transform random forest |
| url | https://ieeexplore.ieee.org/document/10042433/ |
| work_keys_str_mv | AT gabrielanlopes highimpedancefaultlocationmethodsreviewandharmonicselectionbasedanalysis AT thiagosmenezes highimpedancefaultlocationmethodsreviewandharmonicselectionbasedanalysis AT douglaspsgomes highimpedancefaultlocationmethodsreviewandharmonicselectionbasedanalysis AT josecarlosmvieira highimpedancefaultlocationmethodsreviewandharmonicselectionbasedanalysis |