Detecting Current Transformer Measurement Errors Using Double Decomposition Method
Current transformer (CT) ensures the safe and stable operation of the power system by monitoring, measuring and protecting the current in the power grid. However, the CT measurement errors undermine the fairness of power trading. A double decomposition method is proposed to locate the abnormal phase...
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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/11031411/ |
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| _version_ | 1839638819955015680 |
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| author | Bolun Du Yinglong Diao Huan Wang Xiujuan Zeng Tong Liu Yiyi Peng |
| author_facet | Bolun Du Yinglong Diao Huan Wang Xiujuan Zeng Tong Liu Yiyi Peng |
| author_sort | Bolun Du |
| collection | DOAJ |
| description | Current transformer (CT) ensures the safe and stable operation of the power system by monitoring, measuring and protecting the current in the power grid. However, the CT measurement errors undermine the fairness of power trading. A double decomposition method is proposed to locate the abnormal phase and detect the CT measurement error in this study. Firstly, a variational mode decomposition (VMD) is used to decompose the measured CT secondary side phase currents to generate residuals. Meanwhile, wavelet decomposition is applied to decompose the residuals in multiple layers, and the approximate coefficient set of each phase is screened. Then, t-distributed stochastic neighbor embedding (t-SNE) is utilized to extract CT deterioration feature from the approximate coefficient set. Finally, the CT measurement error overrun threshold is calculated by means of kernel density estimation (KDE) to locate the abnormal phase and detect the CT measurement errors. In China Electric Power Research Institute, the proposed CT measurement error detection method can accurately locate the abnormal phase of CT and detect the 0.2% ratio difference threshold in the verification experiment. In the follow-up study, the proposed method in the study will be verified and supplemented based on CT data in the real distribution network environment. |
| format | Article |
| id | doaj-art-59e9cd83102f4e6ca521f0ff7d8c39b9 |
| institution | Matheson Library |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-59e9cd83102f4e6ca521f0ff7d8c39b92025-07-04T23:00:43ZengIEEEIEEE Access2169-35362025-01-011311298611299510.1109/ACCESS.2025.357912811031411Detecting Current Transformer Measurement Errors Using Double Decomposition MethodBolun Du0https://orcid.org/0000-0002-6297-6848Yinglong Diao1https://orcid.org/0009-0001-2378-6945Huan Wang2Xiujuan Zeng3Tong Liu4Yiyi Peng5China Electric Power Research Institute, Wuhan, ChinaChina Electric Power Research Institute, Wuhan, ChinaChina Electric Power Research Institute, Wuhan, ChinaState Grid Wuhan Electric Power Supply Company, Wuhan, ChinaState Grid Wuhan Electric Power Supply Company, Wuhan, ChinaState Grid Wuhan Electric Power Supply Company, Wuhan, ChinaCurrent transformer (CT) ensures the safe and stable operation of the power system by monitoring, measuring and protecting the current in the power grid. However, the CT measurement errors undermine the fairness of power trading. A double decomposition method is proposed to locate the abnormal phase and detect the CT measurement error in this study. Firstly, a variational mode decomposition (VMD) is used to decompose the measured CT secondary side phase currents to generate residuals. Meanwhile, wavelet decomposition is applied to decompose the residuals in multiple layers, and the approximate coefficient set of each phase is screened. Then, t-distributed stochastic neighbor embedding (t-SNE) is utilized to extract CT deterioration feature from the approximate coefficient set. Finally, the CT measurement error overrun threshold is calculated by means of kernel density estimation (KDE) to locate the abnormal phase and detect the CT measurement errors. In China Electric Power Research Institute, the proposed CT measurement error detection method can accurately locate the abnormal phase of CT and detect the 0.2% ratio difference threshold in the verification experiment. In the follow-up study, the proposed method in the study will be verified and supplemented based on CT data in the real distribution network environment.https://ieeexplore.ieee.org/document/11031411/Current transformermeasurement errorsvariational mode decompositionwavelet decompositionT-distributed stochastic neighbor embeddingkernel density estimation |
| spellingShingle | Bolun Du Yinglong Diao Huan Wang Xiujuan Zeng Tong Liu Yiyi Peng Detecting Current Transformer Measurement Errors Using Double Decomposition Method IEEE Access Current transformer measurement errors variational mode decomposition wavelet decomposition T-distributed stochastic neighbor embedding kernel density estimation |
| title | Detecting Current Transformer Measurement Errors Using Double Decomposition Method |
| title_full | Detecting Current Transformer Measurement Errors Using Double Decomposition Method |
| title_fullStr | Detecting Current Transformer Measurement Errors Using Double Decomposition Method |
| title_full_unstemmed | Detecting Current Transformer Measurement Errors Using Double Decomposition Method |
| title_short | Detecting Current Transformer Measurement Errors Using Double Decomposition Method |
| title_sort | detecting current transformer measurement errors using double decomposition method |
| topic | Current transformer measurement errors variational mode decomposition wavelet decomposition T-distributed stochastic neighbor embedding kernel density estimation |
| url | https://ieeexplore.ieee.org/document/11031411/ |
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