External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module
Ultrahigh frequency (UHF) partial discharge (PD) detection is essential for routine maintenance of gas-insulated switchgear (GIS). Realizing low-noise detection with cost-effectiveness and ease of installation is promising but challenging. This article presents a novel broadband noise-shaping networ...
| Main Authors: | , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/170755 |
| _version_ | 1811686318063747072 |
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| author | Shu, Zhou Wang, Wensong Yang, Chuanshi Guo, Yanshu Ji, Jinsheng Yang, Yan Shi, Ting Zhao, Zhenyu Zheng, Yuanjin |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Shu, Zhou Wang, Wensong Yang, Chuanshi Guo, Yanshu Ji, Jinsheng Yang, Yan Shi, Ting Zhao, Zhenyu Zheng, Yuanjin |
| author_sort | Shu, Zhou |
| collection | NTU |
| description | Ultrahigh frequency (UHF) partial discharge (PD) detection is essential for routine maintenance of gas-insulated switchgear (GIS). Realizing low-noise detection with cost-effectiveness and ease of installation is promising but challenging. This article presents a novel broadband noise-shaping network (BNSN) integrated with a printed monopole antenna (PMA) sensor to realize sufficient noise rejection and good impedance matching. Moreover, by analyzing the equivalent noise circuit and co-designing a high-speed preamplifier circuit with the proposed sensor, the detection sensitivity and anti-interference of the proposed sensor module are improved. The effectiveness and superiority of the proposed sensor are first verified in accordance with IEC 62478, followed by validations using a PD simulator and a real 24-kV GIS. The experimental results demonstrate that the proposed sensor module has the capability to identify different PD types even in noisy environments. |
| first_indexed | 2024-10-01T04:58:30Z |
| format | Journal Article |
| id | ntu-10356/170755 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:58:30Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1707552023-10-02T05:32:25Z External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module Shu, Zhou Wang, Wensong Yang, Chuanshi Guo, Yanshu Ji, Jinsheng Yang, Yan Shi, Ting Zhao, Zhenyu Zheng, Yuanjin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Broadband Noise-Shaping Network Partial Discharge Ultrahigh frequency (UHF) partial discharge (PD) detection is essential for routine maintenance of gas-insulated switchgear (GIS). Realizing low-noise detection with cost-effectiveness and ease of installation is promising but challenging. This article presents a novel broadband noise-shaping network (BNSN) integrated with a printed monopole antenna (PMA) sensor to realize sufficient noise rejection and good impedance matching. Moreover, by analyzing the equivalent noise circuit and co-designing a high-speed preamplifier circuit with the proposed sensor, the detection sensitivity and anti-interference of the proposed sensor module are improved. The effectiveness and superiority of the proposed sensor are first verified in accordance with IEC 62478, followed by validations using a PD simulator and a real 24-kV GIS. The experimental results demonstrate that the proposed sensor module has the capability to identify different PD types even in noisy environments. Energy Market Authority (EMA) Nanyang Technological University National Research Foundation (NRF) This work was supported in part by the SP Group; in part by the National Research Foundation, Singapore; in part by the Energy Market Authority, under its Energy Program (EP) under Award EMA-EP010-SNJL-004; in part by the Nanyang Technological University; and in part by the National Natural Science Foundation of China under Grant 62101104. 2023-10-02T05:32:25Z 2023-10-02T05:32:25Z 2023 Journal Article Shu, Z., Wang, W., Yang, C., Guo, Y., Ji, J., Yang, Y., Shi, T., Zhao, Z. & Zheng, Y. (2023). External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module. IEEE Transactions On Instrumentation and Measurement, 72, 3277980-. https://dx.doi.org/10.1109/TIM.2023.3277980 0018-9456 https://hdl.handle.net/10356/170755 10.1109/TIM.2023.3277980 2-s2.0-85160257492 72 3277980 en EMA-EP010-SNJL-004 IEEE Transactions on Instrumentation and Measurement © 2023 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Broadband Noise-Shaping Network Partial Discharge Shu, Zhou Wang, Wensong Yang, Chuanshi Guo, Yanshu Ji, Jinsheng Yang, Yan Shi, Ting Zhao, Zhenyu Zheng, Yuanjin External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module |
| title | External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module |
| title_full | External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module |
| title_fullStr | External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module |
| title_full_unstemmed | External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module |
| title_short | External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module |
| title_sort | external partial discharge detection of gas insulated switchgears using a low noise and enhanced sensitivity uhf sensor module |
| topic | Engineering::Electrical and electronic engineering Broadband Noise-Shaping Network Partial Discharge |
| url | https://hdl.handle.net/10356/170755 |
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