A fault detection and location algorithm for the LVDC interconnection network in rural area
Abstract Low voltage DC (LVDC) microgrids (MGs) can be linked together through an interconnection network to enhance the utilization of their energy resources in remote locations, particularly in rural low‐income areas. However, the identification of the fault is challenging due to the fast fault tr...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Generation, Transmission & Distribution |
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| Online Access: | https://doi.org/10.1049/gtd2.13293 |
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| author | Chengwei Liu Joan Marc Rodriguez‐Bernuz Di Liu Saizhao Yang Yitong Li Qiteng Hong Adrià Junyent‐Ferré |
| author_facet | Chengwei Liu Joan Marc Rodriguez‐Bernuz Di Liu Saizhao Yang Yitong Li Qiteng Hong Adrià Junyent‐Ferré |
| author_sort | Chengwei Liu |
| collection | DOAJ |
| description | Abstract Low voltage DC (LVDC) microgrids (MGs) can be linked together through an interconnection network to enhance the utilization of their energy resources in remote locations, particularly in rural low‐income areas. However, the identification of the fault is challenging due to the fast fault transients and equipment limitations, where there are no sensors and DC circuit breakers (DCCBs) in the lines. To solve this problem, this article proposes a fault detection and location algorithm without requiring extra sensors and DCCBs in lines. The proposed algorithm uses the sensors of the interface converters to detect the fault. Following this, a coordinated current injection method is used to identify the faulty element by coordinating converters with disconnectors. This process employs two strategies “weight check” and “scope check” to minimize the time and the number of actions. The algorithm is robust to various fault impedance, fault types and network topology modifications. The effectiveness of the algorithm is validated through a series of simulation case studies. |
| format | Article |
| id | doaj-art-ae6eb70f8ee7411b8a61cbb31f6ca640 |
| institution | Kabale University |
| issn | 1751-8687 1751-8695 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj-art-ae6eb70f8ee7411b8a61cbb31f6ca6402025-08-20T03:35:25ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-12-0118244291430110.1049/gtd2.13293A fault detection and location algorithm for the LVDC interconnection network in rural areaChengwei Liu0Joan Marc Rodriguez‐Bernuz1Di Liu2Saizhao Yang3Yitong Li4Qiteng Hong5Adrià Junyent‐Ferré6Department of Electrical and Electronic EngineeringImperial College LondonLondonUKElectrical Engineering DepartmentTechnical University of CataloniaBarcelonaSpainDepartment of Electronic and Electrical EngineeringUniversity of StrathclydeGlasgowUKSchool of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChinaDepartment of Electrical and Electronic EngineeringXi'an Jiaotong UniversityXi'anChinaDepartment of Electronic and Electrical EngineeringUniversity of StrathclydeGlasgowUKDepartment of Electrical and Electronic EngineeringImperial College LondonLondonUKAbstract Low voltage DC (LVDC) microgrids (MGs) can be linked together through an interconnection network to enhance the utilization of their energy resources in remote locations, particularly in rural low‐income areas. However, the identification of the fault is challenging due to the fast fault transients and equipment limitations, where there are no sensors and DC circuit breakers (DCCBs) in the lines. To solve this problem, this article proposes a fault detection and location algorithm without requiring extra sensors and DCCBs in lines. The proposed algorithm uses the sensors of the interface converters to detect the fault. Following this, a coordinated current injection method is used to identify the faulty element by coordinating converters with disconnectors. This process employs two strategies “weight check” and “scope check” to minimize the time and the number of actions. The algorithm is robust to various fault impedance, fault types and network topology modifications. The effectiveness of the algorithm is validated through a series of simulation case studies.https://doi.org/10.1049/gtd2.13293fault detectionfault locationprotectionrural areas |
| spellingShingle | Chengwei Liu Joan Marc Rodriguez‐Bernuz Di Liu Saizhao Yang Yitong Li Qiteng Hong Adrià Junyent‐Ferré A fault detection and location algorithm for the LVDC interconnection network in rural area IET Generation, Transmission & Distribution fault detection fault location protection rural areas |
| title | A fault detection and location algorithm for the LVDC interconnection network in rural area |
| title_full | A fault detection and location algorithm for the LVDC interconnection network in rural area |
| title_fullStr | A fault detection and location algorithm for the LVDC interconnection network in rural area |
| title_full_unstemmed | A fault detection and location algorithm for the LVDC interconnection network in rural area |
| title_short | A fault detection and location algorithm for the LVDC interconnection network in rural area |
| title_sort | fault detection and location algorithm for the lvdc interconnection network in rural area |
| topic | fault detection fault location protection rural areas |
| url | https://doi.org/10.1049/gtd2.13293 |
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