Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion
Partial discharge (PD) localization is one of the most crucial steps in the insulation assessment of gas-insulated switchgear (GIS) since it can help technicians identify defective components efficiently. Recently, a new PD localization method named electromagnetic time reversal (EMTR) has been deve...
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IEEE
2024-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10816037/ |
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| author | Zongyao Wang Yuan Yan Lei Jin Zixing Xu Shuangzan Ren Yanliang He Saike Yang Hongjie Li |
| author_facet | Zongyao Wang Yuan Yan Lei Jin Zixing Xu Shuangzan Ren Yanliang He Saike Yang Hongjie Li |
| author_sort | Zongyao Wang |
| collection | DOAJ |
| description | Partial discharge (PD) localization is one of the most crucial steps in the insulation assessment of gas-insulated switchgear (GIS) since it can help technicians identify defective components efficiently. Recently, a new PD localization method named electromagnetic time reversal (EMTR) has been developed for GIS. The technique yields more accurate localization results than the conventional time-of-arrival and angle-of-arrival methods since it uses the three-dimensional structure information of GIS. However, the classical EMTR method analyzing individual sensor data independently suffers from the problems of multiple spurious solutions and noise interferences. Accordingly, this paper proposes an improved EMTR method for PD localization of GIS based on dual-sensor detection and phase spectrum cross-correlation analysis. The proposed method offers two improvements as follows: on the one hand, the problem of multiple spurious solutions is solved via the phase spectrum cross-correlation analysis between the electric field distributions in GIS stimulated by the two back-injected signals from the two sensors, respectively; on the other hand, a windowed phase spectrum cross-correlation approach is proposed to automatically select the frequency sub-bands with high signal-to-noise ratios for PD localization calculation, thus minimizing the influence of noise interferences. Finally, the feasibility and effectiveness of the proposed method are validated via the simulation experiment on a 110-kV GIS with a comprehensive comparison with state-of-the-art alternatives. |
| format | Article |
| id | doaj-art-f69f1459724347599b2a0a5b6addded6 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
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| series | IEEE Access |
| spelling | doaj-art-f69f1459724347599b2a0a5b6addded62025-01-15T00:02:06ZengIEEEIEEE Access2169-35362024-01-011219736319737510.1109/ACCESS.2024.352249910816037Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation CriterionZongyao Wang0https://orcid.org/0009-0008-4819-0997Yuan Yan1https://orcid.org/0000-0001-9284-1584Lei Jin2Zixing Xu3Shuangzan Ren4Yanliang He5Saike Yang6https://orcid.org/0000-0003-0013-6744Hongjie Li7https://orcid.org/0000-0002-9546-8938State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, ChinaPower Research Institute of State Grid Shaanxi Electric Power Company Ltd., Xi’an, ChinaPower Research Institute of State Grid Shaanxi Electric Power Company Ltd., Xi’an, ChinaChina State Grid Hebei Electric Power Research Institute, State Grid Hebei Electric Power Supply Company Ltd., Shijiazhuang, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, ChinaPartial discharge (PD) localization is one of the most crucial steps in the insulation assessment of gas-insulated switchgear (GIS) since it can help technicians identify defective components efficiently. Recently, a new PD localization method named electromagnetic time reversal (EMTR) has been developed for GIS. The technique yields more accurate localization results than the conventional time-of-arrival and angle-of-arrival methods since it uses the three-dimensional structure information of GIS. However, the classical EMTR method analyzing individual sensor data independently suffers from the problems of multiple spurious solutions and noise interferences. Accordingly, this paper proposes an improved EMTR method for PD localization of GIS based on dual-sensor detection and phase spectrum cross-correlation analysis. The proposed method offers two improvements as follows: on the one hand, the problem of multiple spurious solutions is solved via the phase spectrum cross-correlation analysis between the electric field distributions in GIS stimulated by the two back-injected signals from the two sensors, respectively; on the other hand, a windowed phase spectrum cross-correlation approach is proposed to automatically select the frequency sub-bands with high signal-to-noise ratios for PD localization calculation, thus minimizing the influence of noise interferences. Finally, the feasibility and effectiveness of the proposed method are validated via the simulation experiment on a 110-kV GIS with a comprehensive comparison with state-of-the-art alternatives.https://ieeexplore.ieee.org/document/10816037/Electromagnetic time reversal (EMTR)partial discharge (PD) localizationgas-insulated switchgear (GIS)cross-correlation |
| spellingShingle | Zongyao Wang Yuan Yan Lei Jin Zixing Xu Shuangzan Ren Yanliang He Saike Yang Hongjie Li Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion IEEE Access Electromagnetic time reversal (EMTR) partial discharge (PD) localization gas-insulated switchgear (GIS) cross-correlation |
| title | Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion |
| title_full | Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion |
| title_fullStr | Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion |
| title_full_unstemmed | Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion |
| title_short | Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion |
| title_sort | partial discharge localization of gas insulated switchgear via electromagnetic time reversal enhanced by windowed phase spectrum cross correlation criterion |
| topic | Electromagnetic time reversal (EMTR) partial discharge (PD) localization gas-insulated switchgear (GIS) cross-correlation |
| url | https://ieeexplore.ieee.org/document/10816037/ |
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