Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis
Abstract The operating environment of transformers is getting more complex with the emergence of new energy sources and power electronic devices. This complexity can cause minor internal faults in transformer windings. Under the cumulative effect, minor faults gradually develop into serious faults,...
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| Main Authors: | , , , , , |
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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 |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.13342 |
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| _version_ | 1849409644660785152 |
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| author | Xiangping Kong Zijun Bin Jiansheng Li Shiming Liu Wenchen Zhao Mengfei Wu |
| author_facet | Xiangping Kong Zijun Bin Jiansheng Li Shiming Liu Wenchen Zhao Mengfei Wu |
| author_sort | Xiangping Kong |
| collection | DOAJ |
| description | Abstract The operating environment of transformers is getting more complex with the emergence of new energy sources and power electronic devices. This complexity can cause minor internal faults in transformer windings. Under the cumulative effect, minor faults gradually develop into serious faults, resulting in transformer damage. Conventional differential protection systems may have difficulty detecting these glitches and require avoiding the problem of protection false activation caused by inrush currents. This paper proposes a new online monitoring method for transformer windings based on longitudinal branch‐circuit conductance to address this issue. First, a unified transformer equivalent circuit is proposed to represent transformers under normal conditions, inrush currents, and internal faults. Then, an online transformer monitoring method based on branch conductance is proposed, which is immune to inrush currents. This method aims to prevent delayed detection of faults during inrush currents, improving sensitivity and response speed, especially for minor turn‐to‐turn faults hidden in inrush currents. The proposed method also provides higher sensitivity to minor turn‐to‐turn faults and larger protection margins. Simulation and experimental results validate the effectiveness of this method. |
| format | Article |
| id | doaj-art-d66cabc060304e1a883330ae3c0afc41 |
| 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-d66cabc060304e1a883330ae3c0afc412025-08-20T03:35:25ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-12-0118244358436810.1049/gtd2.13342Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysisXiangping Kong0Zijun Bin1Jiansheng Li2Shiming Liu3Wenchen Zhao4Mengfei Wu5Electric Power Research InstituteState Grid Jiangsu ElectricPower Co., Ltd. Nanjing ChinaElectric Power Research InstituteState Grid Jiangsu ElectricPower Co., Ltd. Nanjing ChinaElectric Power Research InstituteState Grid Jiangsu ElectricPower Co., Ltd. Nanjing ChinaDepartment of Electrical Engineering Shandong University Jinan ChinaDepartment of Electrical Engineering Shandong University Jinan ChinaDepartment of Electrical Engineering Shandong University Jinan ChinaAbstract The operating environment of transformers is getting more complex with the emergence of new energy sources and power electronic devices. This complexity can cause minor internal faults in transformer windings. Under the cumulative effect, minor faults gradually develop into serious faults, resulting in transformer damage. Conventional differential protection systems may have difficulty detecting these glitches and require avoiding the problem of protection false activation caused by inrush currents. This paper proposes a new online monitoring method for transformer windings based on longitudinal branch‐circuit conductance to address this issue. First, a unified transformer equivalent circuit is proposed to represent transformers under normal conditions, inrush currents, and internal faults. Then, an online transformer monitoring method based on branch conductance is proposed, which is immune to inrush currents. This method aims to prevent delayed detection of faults during inrush currents, improving sensitivity and response speed, especially for minor turn‐to‐turn faults hidden in inrush currents. The proposed method also provides higher sensitivity to minor turn‐to‐turn faults and larger protection margins. Simulation and experimental results validate the effectiveness of this method.https://doi.org/10.1049/gtd2.13342condition monitoringtransformerstransformer windings |
| spellingShingle | Xiangping Kong Zijun Bin Jiansheng Li Shiming Liu Wenchen Zhao Mengfei Wu Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis IET Generation, Transmission & Distribution condition monitoring transformers transformer windings |
| title | Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis |
| title_full | Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis |
| title_fullStr | Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis |
| title_full_unstemmed | Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis |
| title_short | Enhancing transformer windings monitoring: An approach using longitudinal branch‐circuit conductance analysis |
| title_sort | enhancing transformer windings monitoring an approach using longitudinal branch circuit conductance analysis |
| topic | condition monitoring transformers transformer windings |
| url | https://doi.org/10.1049/gtd2.13342 |
| work_keys_str_mv | AT xiangpingkong enhancingtransformerwindingsmonitoringanapproachusinglongitudinalbranchcircuitconductanceanalysis AT zijunbin enhancingtransformerwindingsmonitoringanapproachusinglongitudinalbranchcircuitconductanceanalysis AT jianshengli enhancingtransformerwindingsmonitoringanapproachusinglongitudinalbranchcircuitconductanceanalysis AT shimingliu enhancingtransformerwindingsmonitoringanapproachusinglongitudinalbranchcircuitconductanceanalysis AT wenchenzhao enhancingtransformerwindingsmonitoringanapproachusinglongitudinalbranchcircuitconductanceanalysis AT mengfeiwu enhancingtransformerwindingsmonitoringanapproachusinglongitudinalbranchcircuitconductanceanalysis |