Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage
To improve the accuracy of insulation state online monitoring for capacitive dry-type current transformers (CTs) and to address the limitations of traditional methods relying on potential transformer (PT) voltage signals and reference devices, a virtual voltage-based online monitoring method is prop...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/13/3499 |
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| _version_ | 1849428949077065728 |
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| author | Junjie Zhang Yu Peng Xiaohui Hu Zhipeng Li Li Yan Can Ding Ruihua Zhao |
| author_facet | Junjie Zhang Yu Peng Xiaohui Hu Zhipeng Li Li Yan Can Ding Ruihua Zhao |
| author_sort | Junjie Zhang |
| collection | DOAJ |
| description | To improve the accuracy of insulation state online monitoring for capacitive dry-type current transformers (CTs) and to address the limitations of traditional methods relying on potential transformer (PT) voltage signals and reference devices, a virtual voltage-based online monitoring method is proposed. First, the leakage current is collected through a core-type current transformer on the end-screen grounding line. Combined with group measurement data from surge arresters and dry-type CTs on the same busbar, phase constraints are established, and a least mean square (LMS) algorithm is utilized to iteratively train the virtual voltage reference phase. Subsequently, the resistive current and dielectric loss factor (tan δ) are calculated based on the virtual voltage reference phase to achieve online insulation state monitoring. Simulation results demonstrate that the proposed method can accurately obtain the virtual voltage reference phase and effectively identify the degradation trend of dry-type CTs. Field applications validate the feasibility of the method, with monitoring data fluctuations (±20 μA for the resistive current and ±0.002 for the dielectric loss) meeting engineering requirements. This method eliminates the need for PT signals and reference devices, thus providing a novel approach for the online insulation monitoring of dry-type CTs. |
| format | Article |
| id | doaj-art-42b4f16ceea2415bb255e896a3f2247c |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-42b4f16ceea2415bb255e896a3f2247c2025-08-20T03:28:30ZengMDPI AGEnergies1996-10732025-07-011813349910.3390/en18133499Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual VoltageJunjie Zhang0Yu Peng1Xiaohui Hu2Zhipeng Li3Li Yan4Can Ding5Ruihua Zhao6Shaoguan Power Supply Bureau, Guangdong Power Grid Co., Ltd., Shaoguan 512000, ChinaShaoguan Power Supply Bureau, Guangdong Power Grid Co., Ltd., Shaoguan 512000, ChinaWuhan Kangda Electric Co., Ltd., Wuhan 430070, ChinaWuhan Kangda Electric Co., Ltd., Wuhan 430070, ChinaWuhan Kangda Electric Co., Ltd., Wuhan 430070, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, ChinaTo improve the accuracy of insulation state online monitoring for capacitive dry-type current transformers (CTs) and to address the limitations of traditional methods relying on potential transformer (PT) voltage signals and reference devices, a virtual voltage-based online monitoring method is proposed. First, the leakage current is collected through a core-type current transformer on the end-screen grounding line. Combined with group measurement data from surge arresters and dry-type CTs on the same busbar, phase constraints are established, and a least mean square (LMS) algorithm is utilized to iteratively train the virtual voltage reference phase. Subsequently, the resistive current and dielectric loss factor (tan δ) are calculated based on the virtual voltage reference phase to achieve online insulation state monitoring. Simulation results demonstrate that the proposed method can accurately obtain the virtual voltage reference phase and effectively identify the degradation trend of dry-type CTs. Field applications validate the feasibility of the method, with monitoring data fluctuations (±20 μA for the resistive current and ±0.002 for the dielectric loss) meeting engineering requirements. This method eliminates the need for PT signals and reference devices, thus providing a novel approach for the online insulation monitoring of dry-type CTs.https://www.mdpi.com/1996-1073/18/13/3499dry-type current transformerphase constraintsvirtual voltageresistive current measurementinsulation state monitoring |
| spellingShingle | Junjie Zhang Yu Peng Xiaohui Hu Zhipeng Li Li Yan Can Ding Ruihua Zhao Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage Energies dry-type current transformer phase constraints virtual voltage resistive current measurement insulation state monitoring |
| title | Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage |
| title_full | Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage |
| title_fullStr | Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage |
| title_full_unstemmed | Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage |
| title_short | Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage |
| title_sort | insulation online monitoring method for dry type current transformers based on virtual voltage |
| topic | dry-type current transformer phase constraints virtual voltage resistive current measurement insulation state monitoring |
| url | https://www.mdpi.com/1996-1073/18/13/3499 |
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