基于电磁耦合注入的电力电缆局部缺陷在线定位方法

doi:10.11930/j.issn.1004-9649.202105175

中国电力 ›› 2021, Vol. 54 ›› Issue (12): 177-185,194.DOI: 10.11930/j.issn.1004-9649.202105175

基于电磁耦合注入的电力电缆局部缺陷在线定位方法

刘浩然, 周凯, 王昱皓, 李蓉, 傅尧, 饶显杰

四川大学电气工程学院, 四川成都 610065

收稿日期:2021-06-08 修回日期:2021-07-27 出版日期:2021-12-05 发布日期:2021-12-16
作者简介:刘浩然(2000-),男,硕士研究生,从事电气设备故障诊断方面的研究工作,E-mail:ran04210315@163.com;周凯(1975-),男,通信作者,教授,从事电缆绝缘状态检测与修复研究方面的研究工作,Email:zhoukai_scu@163.com
基金资助:
国家自然科学基金资助项目(51877142)。

An Online Location Method for Local Defects in Power Cables Based on Electromagnetic Coupling Injection

LIU Haoran, ZHOU Kai, WANG Yuhao, LI Rong, FU Yao, RAO Xianjie

School of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2021-06-08 Revised:2021-07-27 Online:2021-12-05 Published:2021-12-16
Supported by:
This work is supported by National Natural Science Foundation of China (No.51877142).

摘要/Abstract

摘要： 为了解决现有频域反射方法仅能在离线情况下对电缆缺陷进行定位检测的不足，提出了一种基于频域反射法和电磁耦合技术的电缆缺陷在线定位方法。首先，依据电缆分布参数模型对含有局部缺陷的电缆进行仿真建模，分析了不同电容变化程度的缺陷点与不同测试频率对电缆缺陷定位效果的影响。然后，探究了传感器结构对信号注入效率的影响。最后，分别在实验室105 m和500 m电力电缆上进行验证，在离线测试情况下，通过改变105 m电缆末端负载阻值，模拟不同电缆负载下的线路情况，并分析其对局部缺陷处和电缆末端处反射强度的影响。在带电测试情况下，通过串联谐振平台对500 m电缆进行通电，利用所提在线定位方法对该电缆进行测试，以检验所提方法的有效性。仿真及实验结果表明：相较于电缆离线定位测试方法，该方法能够在电缆通电的状态下，实现对电缆缺陷点的在线定位，且具有较高定位精度和识别灵敏度。

关键词: 电力电缆, 频域反射法, 缺陷定位, 在线监测, 信号注入

Abstract: In order to solve the shortcoming that the existing frequency domain reflection method can only locate and detect cable defects in offline situations, this paper proposes an online cable defect location method based on frequency domain reflection method and electromagnetic coupling technology. Firstly, based on the cable distribution parameter model, the cables with local defects are simulated and modeled, and the influence of the defect points of different capacitance changes and different test frequencies on the positioning effect of the cable defects is analyzed. Then the influence of the sensor structure on the signal injection efficiency was explored. Finally, it was verified on 105 m and 500 m power cables in the laboratory. In the case of offline testing, the load resistance of the 105 m cable end was changed to simulate different cable loads. The line condition, and analyze its influence on the reflection intensity at the local defect and the end of the cable. In the case of live test, the 500 m cable is energized through the series resonance platform, and the cable is tested using the online positioning method proposed in this article to verify the effectiveness of the method proposed in this article. The simulation and experimental results show that: compared with the cable offline positioning test method, this method can realize the online positioning of the cable defect point when the cable is energized, and has higher positioning accuracy and recognition sensitivity.

Key words: power cable, frequency domain reflectometry, defect location, online monitoring, signal injection

刘浩然, 周凯, 王昱皓, 李蓉, 傅尧, 饶显杰. 基于电磁耦合注入的电力电缆局部缺陷在线定位方法[J]. 中国电力, 2021, 54(12): 177-185,194.

LIU Haoran, ZHOU Kai, WANG Yuhao, LI Rong, FU Yao, RAO Xianjie. An Online Location Method for Local Defects in Power Cables Based on Electromagnetic Coupling Injection[J]. Electric Power, 2021, 54(12): 177-185,194.

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https://www.electricpower.com.cn/CN/Y2021/V54/I12/177

参考文献

[1] 吴明祥, 欧阳本红, 李文杰. 交联电缆常见故障及原因分析[J]. 中国电力, 2013, 46(5): 66–70
WU Mingxiang, OUYANG Benhong, LI Wenjie. Common faults and cause analysis of XLPE cables[J]. Electric Power, 2013, 46(5): 66–70
[2] 黄兴溢, 张军, 江平开. 热塑性电力电缆绝缘材料: 历史与发展[J]. 高电压技术, 2018, 44(5): 1377–1398
HUANG Xingyi, ZHANG Jun, JIANG Pingkai. Thermoplastic insulation materials for power cables: history and progress[J]. High Voltage Engineering, 2018, 44(5): 1377–1398
[3] 罗俊华, 邱毓昌, 杨黎明. 10 kV及以上电力电缆运行故障统计分析[J]. 高电压技术, 2003(6): 14–16
LUO Junhua, QIU Yuchang, YANG Liming. Operation fault analysis of CLPE power cable above 10 kV[J]. High Voltage Engineering, 2003(6): 14–16
[4] 曹雯, 张敏, 刘倩, 等. 电缆接头复合界面处水分对其闪络特性的影响[J]. 高电压技术, 2018, 44(11): 3699–3706
CAO Wen, ZHANG Min, LIU Qian, et al. Influence of moisture on flashover performance of composite interface cable joint[J]. High Voltage Engineering, 2018, 44(11): 3699–3706
[5] 熊俊, 张强, 马国明, 等. 大容量长距离交流XLPE电缆交接试验方法[J]. 高电压技术, 2018, 44(11): 3727–3735
XIONG Jun, ZHANG Qiang, MA Guoming, et al. Commissioning test methods for large capacity and long-distance AC XLPE power cable[J]. High Voltage Engineering, 2018, 44(11): 3727–3735
[6] 谢敏, 周凯, 赵世林, 等. 考虑相速度频变特性的改进互相关算法局部放电定位[J]. 电网技术, 2018, 42(5): 1661–1667
XIE Min, ZHOU Kai, ZHAO Shilin, et al. Research on partial discharge location using modified cross-correlation method considering frequency characteristic of phase velocity[J]. Power System Technology, 2018, 42(5): 1661–1667
[7] 高树国, 刘贺晨, 范辉, 等. 考虑波速特性的小波变换模极大值法的电力电缆局部放电定位研究[J]. 电网技术, 2016, 40(7): 2244–2250
GAO Shuguo, LIU Hechen, FAN Hui, et al. PD location method of power cable based on wavelet transform modulus maxima considering wave characteristics[J]. Power System Technology, 2016, 40(7): 2244–2250
[8] 谢敏, 周凯, 赵世林, 等. 新型基于反射系数谱的电力电缆局部缺陷定位方法[J]. 电网技术, 2017, 41(9): 3083–3089
XIE Min, ZHOU Kai, ZHAO Shilin, et al. A new location method of local defects in power cables based on reflection coefficient spectrum[J]. Power System Technology, 2017, 41(9): 3083–3089
[9] OHKI Y, YAMADA T, HIRAI N. Diagnosis of cable aging by broadband impedance spectroscopy[C]//2011 Annual Report Conference on Electrical Insulation and Dielectric Phenomena. Cancun, Mexico. IEEE, 2011: 24–27.
[10] SONG E, SHIN Y J, STONE P E, et al. Detection and location of multiple wiring faults via time–frequency-domain reflectometry[J]. IEEE Transactions on Electromagnetic Compatibility, 2009, 51(1): 131–138.
[11] 吴炬卓. 中压电缆局部放电带电检测的白噪声抑制和放电类型识别方法研究[D]. 广州: 华南理工大学, 2015.
WU Juzhuo. Study of denoising white noise and pattern recognition in online PD detection of middle voltage cables[D]. Guangzhou: South China University of Technology, 2015.
[12] NOROUZI Y, BRAUN S, FROHNE C, et al. Effect of cable joints on frequency domain analysis[C]//2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). Cancun, Mexico. IEEE, 2018: 288–292.
[13] 李蓉, 周凯, 万航, 等. 基于输入阻抗谱的电力电缆本体局部缺陷类型识别及定位[J]. 电工技术学报, 2021, 36(8): 1743–1751
LI Rong, ZHOU Kai, WAN Hang, et al. Identification and location of local defects in power cable body based on input impedance spectroscopy[J]. Transactions of China Electrotechnical Society, 2021, 36(8): 1743–1751
[14] Paul C R. Analysis of multiconductor transmission lines[M]. Macon: Wiley-IEEE Press, 2008.
[15] ZHOU Z Q, ZHANG D D, HE J J, et al. Local degradation diagnosis for cable insulation based on broadband impedance spectroscopy[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2015, 22(4): 2097–2107.
[16] 赵智大. 高电压技术[M]. 2版. 北京: 中国电力出版社, 2006.
[17] 朱明晓, 薛建议, 邵先军, 等. GIS局部放电特高频信号波形分析与特征参量提取[J]. 高电压技术, 2017, 43(12): 4079–4087
ZHU Mingxiao, XUE Jianyi, SHAO Xianjun, et al. Waveform analysis and feature extraction of partial discharge UHF signals in gas insulated switchgear[J]. High Voltage Engineering, 2017, 43(12): 4079–4087
[18] 陈瑞龙. XLPE电缆局部放电在线监测系统的研制[D]. 上海: 上海交通大学, 2014.
CHEN Ruilong. The design of partial discharge on-line monitoring system for XLPE power cable[D]. Shanghai: Shanghai Jiaotong University, 2014.
[19] JAMES W N. Electric circuits(tenth edition)[M]. Beijing: Electric Industry Press, 2015.
[20] 陈瑞龙. XLPE电缆局部放电在线监测系统的研制[D]. 上海: 上海交通大学, 2014.
CHEN Ruilong. The design of partial discharge on-line monitoring system for XLPE power cable[D]. Shanghai: Shanghai Jiaotong University, 2014.
[21] 周凯, 黄永禄, 何珉, 等. 基于传输系数的HFCT电气参数测试方法研究[J]. 高压电器, 2018, 54(11): 301–306
ZHOU Kai, HUANG Yonglu, HE Min, et al. Test method for electrical parameters of HFCT based on transmission coefficient[J]. High Voltage Apparatus, 2018, 54(11): 301–306
[22] 黄永禄, 周凯, 谢敏, 等. 基于改进CFSFDP算法的变频谐振下电缆局部放电脉冲分离方法[J]. 高电压技术, 2020, 46(12): 4326–4333
HUANG Yonglu, ZHOU Kai, XIE Min, et al. Partial discharge pulse separation method for cables under variable frequency resonance based on improved CFSFDP[J]. High Voltage Engineering, 2020, 46(12): 4326–4333

基于电磁耦合注入的电力电缆局部缺陷在线定位方法

An Online Location Method for Local Defects in Power Cables Based on Electromagnetic Coupling Injection

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基于电磁耦合注入的电力电缆局部缺陷在线定位方法

An Online Location Method for Local Defects in Power Cables Based on Electromagnetic Coupling Injection

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