Discrete multi-point partial discharge detection and location technology of optical fiber

ZENG Lingfeng; LIN Chaozhe; HUANG Jianli; ZHOU Deyong; ZHANG Zelong

doi:10.5768/JAO202344.0508001

Journal of Applied Optics > 2023 > 44(5): 1125-1132. > DOI: 10.5768/JAO202344.0508001

ZENG Lingfeng, LIN Chaozhe, HUANG Jianli, ZHOU Deyong, ZHANG Zelong. Discrete multi-point partial discharge detection and location technology of optical fiber[J]. Journal of Applied Optics, 2023, 44(5): 1125-1132. DOI: 10.5768/JAO202344.0508001

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Discrete multi-point partial discharge detection and location technology of optical fiber

1.
Shenzhen Power Supply Bureau Co.,Ltd., China Southern Power Grid, Shenzhen 518000, China
2.
Electric Power Research Institute of China Southern Power Grid, Guangzhou 510000, China

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Received Date: November 28, 2022
Revised Date: March 06, 2023
Available Online: June 09, 2023

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Abstract

Abstract

In order to monitor the working condition of the power system more accurately, a discrete multi-point detection scheme applied to partial discharge (PD) detection of power transformers was proposed. Based on the heterodyne interference principle of optical fiber, the sensing system was composed of four sensing heads to realize multi-point detection and partial discharge source localization. The sensitivity of the sensor was improved by optimizing the structure of the sensor head. At the same time, the compact package of the sensor enabled it to be installed in the power transformer, which improved the accuracy of the detection results. The experimental results show that the single-channel resolution of the proposed sensing scheme can reach 4 mrad. The constructed three-phase power transformer model is experimentally demonstrated and analyzed, and the resolution of sound source localization can be 1 cm when the 150 kHz PD ultrasonic multi-channel measurement is carried out. Because of its compact structure, high resolution and low cost, the proposed scheme has great application potential in security detection of power system.
- optical fiber sensor,
- partial discharge detection,
- interference,
- ultrasound,
- power system,
- localization technology

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References

[1]	李巍巍, 邓元实, 杨兰, 等. 电力电缆全光纤电流传感器检偏原件偏差影响研究[J]. 电测与仪表,2022,59(7):183-192. LI Weiwei, DENG Yuanshi, YANG Lan, et al. Study on deviation effect of deviation detection element in power cable full optical fiber current sensor[J]. Electrical Measurement & Instrumentation,2022,59(7):183-192.
[2]	张晓新, 任庆庆, 林峰, 等. 基于声电联合的开关柜局部放电在线监测系统研究[J]. 电测与仪表,2019,56(23):107-111. doi: 10.19753/j.issn1001-1390.2019.023.016 ZHANG Xiaoxin, REN Qingqing, LIN Feng, et al. Research on online monitoring system of switchgear partial discharge based on acoustic and electric combination[J]. Electrical Measurement & Instrumentation,2019,56(23):107-111. doi: 10.19753/j.issn1001-1390.2019.023.016
[3]	沈鑫, 束洪春, 曹敏, 等. 变压器局部放电超高频在线监测天线研究[J]. 电测与仪表,2016,53(增刊1):235-241. doi: 10.3969/j.issn.1001-1390.2016.z1.054 SHEN Xin, SHU Hongchun, CAO Min, et al. Research on fourth-order Hilbert fractal antenna for UHF online monitoring of partial discharge in power transformers[J]. China Industrial Economics,2016,53(S1):235-241. doi: 10.3969/j.issn.1001-1390.2016.z1.054
[4]	郭俊, 吴广宁, 张血琴, 等. 局部放电检测技术的现状和发展[J]. 电工技术学报,2005,20(2):29-35. doi: 10.3321/j.issn:1000-6753.2005.02.005 GUO Jun, WU Guangning, ZHANG Xueqin, et al. The actuality and perspective of partial discharge detection techniques[J]. Transactions of China Electrotechnical Society,2005,20(2):29-35. doi: 10.3321/j.issn:1000-6753.2005.02.005
[5]	刘云鹏, 田源, 步雅楠, 等. 光纤检测变压器绕组变形的特征提取与聚类分析[J]. 电测与仪表,2018,55(21):93-99. doi: 10.3969/j.issn.1001-1390.2018.21.016 LIU Yunpeng, TIAN Yuan, BU Yanan, et al. Feature extraction and cluster analysis of transformer winding deformation by optical fiber detection[J]. Electrical Measurement & Instrumentation,2018,55(21):93-99. doi: 10.3969/j.issn.1001-1390.2018.21.016
[6]	蒋立辉, 刘杰生, 熊兴隆, 等. 光纤周界入侵信号特征提取与识别方法的研究[J]. 激光与红外,2017,47(7):906-913. doi: 10.3969/j.issn.1001-5078.2017.07.023 JIANG Lihui, LIU Jiesheng, XIONG Xinglong, et al. Research on intrusion signal extraction and recognition of optical fiber sensor perimeter[J]. Laser & Infrared,2017,47(7):906-913. doi: 10.3969/j.issn.1001-5078.2017.07.023
[7]	谭磊, 赵永强, 赵留学, 等. 基于分布式光纤的电网台风灾害预警方法研究[J]. 电测与仪表,2018,55(15):20-24. doi: 10.3969/j.issn.1001-1390.2018.15.004 TAN Lei, ZHAO Yongqiang, ZHAO Liuxue, et al. Research on warning method of typhoon disaster based on distributed fiber[J]. Electrical Measurement & Instrumentation,2018,55(15):20-24. doi: 10.3969/j.issn.1001-1390.2018.15.004
[8]	黄强, 孙军强, 包宇奔, 等. 长距离布里渊光时域反射光纤传感技术进展[J]. 激光与红外,2021,51(4):395-403. doi: 10.3969/j.issn.1001-5078.2021.04.001 HUANG Qiang, SUN Junqiang, BAO Yuben, et al. Advances of technologies in long-range Brillouin optical time-domain reflective optical fiber sensing[J]. Laser & Infrared,2021,51(4):395-403. doi: 10.3969/j.issn.1001-5078.2021.04.001
[9]	LUNDGAARD L E. Partial discharge XIV: acoustic partial discharge detection-practical application[J]. IEEE Electrical Insulation Magazine,1992,8(5):34-43. doi: 10.1109/57.156943
[10]	ELEFTHERION P M. Partial discharge. XXI: acoustic emission based PD source location in transformers[J]. IEEE Electrical Insulation Magazine,1995,11(6):22-26. doi: 10.1109/57.475905
[11]	沈龙, 钱国超, 周仿荣, 等. 一种应用于GIS内部局部放电检测的新型光学传感系统[J]. 光电子技术,2020,40(4):258-264. doi: 10.19453/j.cnki.1005-488x.2020.04.004 SHEN Long, QIAN Guochao, ZHOU Fangrong, et al. A novel optical sensor system for internal partial discharge detection in gas insulation switchgear[J]. Optoelectronic Technology,2020,40(4):258-264. doi: 10.19453/j.cnki.1005-488x.2020.04.004
[12]	LIMA S E U, FRAZAO O, FARIAS R G, et al. Mandrel-based fiber-optic sensors for acoustic detection of partial discharges—a proof of concept[J]. IEEE Transactions on Power Delivery,2010,25(4):2526-2534. doi: 10.1109/TPWRD.2010.2051820
[13]	周宏扬, 马国明, 张猛, 等. 基于迈克尔逊光纤干涉的变压器局部放电超声信号检测技术[J]. 中国电机工程学报,2022,42(21):8016-8024. ZHOU Hongyang, MA Guoming, ZHANG Meng, et al. Partial discharge ultrasonic signal detection technology in power transformer based on the Michelson optical fiber interferometer[J]. Proceedings of the Chinese Society for Electrical Engineering,2022,42(21):8016-8024.
[14]	宋雨轩, 陈伟根, 张知先, 等. 基于光纤迈克尔逊干涉仪的GIS内置局部放电超声传感技术[J]. 高电压技术,2022,48(8):3088-3097. doi: 10.13336/j.1003-6520.hve.20220837 SONG Yuxuan, CHEN Weigen, ZHANG Zhixian, et al. Ultrasonic sensing technology of partial discharge built into GIS based on fiber optic Michelson interferometry[J]. High Voltage Engineering,2022,48(8):3088-3097. doi: 10.13336/j.1003-6520.hve.20220837
[15]	POSADA-ROMAN J, GARCIA-SOUTO J A, RUBIO-SERRANO J. Fiber optic sensor for acoustic detection of partial discharges in oil-paper insulated electrical systems[J]. Sensors,2012,12(4):4793-4802. doi: 10.3390/s120404793
[16]	郭少朋, 高莹莹, 徐鲁宁, 等. 基于光纤法珀传感器的局部放电测试系统[J]. 仪表技术与传感器,2015(12):61-64. doi: 10.3969/j.issn.1002-1841.2015.12.018 GUO Shaopeng, GAO Yingying, XU Luning, et al. Partial discharges detection system based on fiber fabry-perot sensors[J]. Instrument Technique and Sensor,2015(12):61-64. doi: 10.3969/j.issn.1002-1841.2015.12.018
[17]	王杨超, 杜家振, 高超飞, 等. 基于F-P光纤超声传感器和概率神经网络的油中局部放电模式识别研究[J]. 高压电器,2018,54(4):152-158. doi: 10.13296/j.1001-1609.hva.2018.04.022 WANG Yangchao, DU Jiazhen, GAO Chaofei, et al. Study on partial discharge pattern recognition in oil based on F-P fiber optic ultrasonic sensor and probabilistic neural network[J]. High Voltage Apparatus,2018,54(4):152-158. doi: 10.13296/j.1001-1609.hva.2018.04.022
[18]	KNUDSEN S, BLOTEKJAER K. An ultrasonic fiber-optic hydrophone incorporating a push-pull transducer in a Sagnac interferometer[J]. Journal of Lightwave Technology,1994,12(9):1696-1700. doi: 10.1109/50.320954
[19]	罗颖婷, 江俊飞, 王磊, 等. 基于微观和统计信息的GIS局部放电定位技术[J]. 电子测量技术,2022,45(13):71-76. LUO Yingting, JIANG Junfei, WANG Lei, et al. Partial discharge location technology in GIS based on micro information and statistical information[J]. Electronic Measurement Technology,2022,45(13):71-76.
[20]	黄盛洁, 姚文捷. 数字技术用于电力变压器局部放电定位[J]. 变压器,2023,60(1):35-40. doi: 10.19487/j.cnki.1001-8425.2023.01.005 HUANG Shengjie, YAO Wenjie. Digital technology for partial discharge location of power transformer[J]. Transformer,2023,60(1):35-40. doi: 10.19487/j.cnki.1001-8425.2023.01.005
[21]	RUBIO-SERRANO J, ROJAS-MORENO M V, POSADA J, et al. Electro-acoustic detection, identification and location of partial discharge sources in oil-paper insulation systems[J]. IEEE Transactions on Dielectrics and Electrical Insulation,2012,19(5):1569-1578. doi: 10.1109/TDEI.2012.6311502
[22]	张知先, 雷嘉丽, 陈伟根, 等. 基于多参量光纤F-P传感的变压器局部放电与油温传感方法[J]. 高电压技术,2022,48(1):58-65. ZHANG Zhixian, LEI Jiali, CHEN Weigen, et al. Transformer’s partial discharge and oil temperature sensing method based on multi-parameter fiber optic F-P sensing[J]. High Voltage Engineering,2022,48(1):58-65.

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Discrete multi-point partial discharge detection and location technology of optical fiber