|
|
Research on Cable Local Defect Detection Method Based on Phase-Sensitive Characteristics of Frequency Modulated Continuous Wave |
Zhao Shujing1, Zhan Bobo1, Gong Liangtao1, Wang Wei1, Li Chengrong1, Meng Xiaokai2 |
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China; 2. Electric Power Research Institute of State Grid Shanxi Electric Power Company Taiyuan 030001 China |
|
|
Abstract Cables play a very important role in the operation of society and are closely related to industrial production and people's lives. Minor defects develop into serious defects that eventually lead to cable failure. In this regard, it is important to be able to detect and locate defects in cables before they occur. Frequency domain reflectometry (FDR) is developing rapidly because it has higher sensitivity than time domain reflectometry (TDR) in terms of cable defects and fault location. In recent years, the broadband impedance spectroscopy (BIS) method based on FDR has made great progress in the field of cable defect location. The BIS method measures the impedance spectrum of the cable through instruments, and analyzes the impedance spectrum to obtain the location spectrum of the cable. However, the BIS method is easily interfered by noise. In order to improve the anti-noise ability of the FDR method, a frequency modulated continuous wave (FMCW) method based on FDR was developed. With the same background noise, FMCW measurements are better and can locate defects further away. FMCW has obtained higher sensitivity than BIS method by measuring the frequency difference, but it is still not sensitive enough for the detection of minor defects in cables that are further developed into serious defects due to the influence of operating environment and other factors. In response to this difficulty, inspired by the use of phase characteristics to improve the distance resolution of the FMCW method in the process of high-precision liquid level measurement, we propose a phase-sensitive-FMCW method to improve the sensitivity of the FMCW method to the measurement of cable defect state changes. First, based on the principle of FMCW cable defect location, the basis for using FMCW phase characteristics to detect defects is proposed: the phase of the mixing signal is affected by the chirp signal, and the phase signal is double modulated by both amplitude and phase. When the reflected signal changes, the phase also changes. Even if the defect position remains unchanged, the strength of the reflected signal will cause the final output signal phase to be different, which is the basic principle that the FMCW signal is sensitive to the defect phase. Then, the cable defect detection simulation experiment is carried out in combination with the cable distribution parameter model. The simulation test results show that the cable location spectrum based on FMCW can effectively locate the location of cable defects; the cable phase spectrum based on FMCW can effectively reflect the changes of cable defects, and the phase-sensitive characteristics of the phase spectrum can be used to detect the changes of local cable defects. After that, the RF coaxial cable in the laboratory is simulated and tested with different degrees of defects, and the phase change at the defect is observed. There are four types of defects, namely capacitive defects caused by heating, defects caused by copper screen breakage, and resistive defects on the copper shield and conductive defects caused by parallel resistance. The simulation and experimental results show that: (1) This paper proposes a local defect detection method for cables based on the phase-sensitive characteristic of FMCW, which can improve the sensitivity of the FMCW method to the detection of cable defects. (2) Through simulation, experiment and calculation, the relationship between phase change and defect severity is clarified, the principle of phase sensitive-FMCW method is explained, and the maximum range of phase change at defect is 180°. (3) Taking the ratio of the phase and amplitude changes caused by the defect to the value interval as the sensitivity, the sensitivity of the capacitive defect caused by the local abnormal temperature rise of the cable can be increased from 36% to 71% when the local temperature difference is 37℃. The sensitivity of phase sensitive FMCW method is better than that of FMCW method for resistance, conductivity and copper shield damage defects, which can increase the detection sensitivity by 7%~62%.
|
Received: 21 September 2022
|
|
|
|
|
[1] 周远翔, 赵健康, 刘睿, 等. 高压/超高压电力电缆关键技术分析及展望[J]. 高电压技术, 2014, 40(9): 2593-2612. Zhou Yuanxiang, Zhao Jiankang, Liu Rui, et al.Key technical analysis and prospect of high voltage and extra-high voltage power cable[J]. High Voltage Engineering, 2014, 40(9): 2593-2612. [2] 赵健康, 赵鹏, 陈铮铮, 等. 高压直流电缆绝缘材料研究进展评述[J]. 高电压技术, 2017, 43(11): 3490-3503. Zhao Jiankang, Zhao Peng, Chen Zhengzheng, et al.Review on progress of HVDC cables insulation materials[J]. High Voltage Engineering, 2017, 43(11): 3490-3503. [3] 田野, 郭金明, 傅明利, 等. 超高压交流XLPE电缆输电工程应用现状综述[J]. 南方电网技术, 2016, 10(9): 30-36, 48. Tian Ye, Guo Jinming, Fu Mingli, et al.Review on power transmission projects with UHVAC XLPE cables[J]. Southern Power System Technology, 2016, 10(9): 30-36, 48. [4] 单秉亮, 李舒宁, 杨霄, 等. XLPE配电电缆缺陷诊断与定位技术面临的关键问题[J]. 电工技术学报, 2021, 36(22): 4809-4819. Shan Bingliang, Li Shuning, Yang Xiao, et al.Key problems faced by defect diagnosis and location technologies for XLPE distribution cables[J]. Transactions of China Electrotechnical Society, 2021, 36(22): 4809-4819. [5] 王昊月, 王晓威, 孙茂伦, 等. XLPE电缆绝缘热老化的高压频域介电谱诊断方法[J]. 电工技术学报, 2022, 37(17): 4497-4507. Wang Haoyue, Wang Xiaowei, Sun Maolun, et al.High voltage frequency domain dielectric spectroscopy diagnosis method for thermal aging of XPLE cables[J]. Transactions of China Electrotechnical Society, 2022, 37(17): 4497-4507. [6] 牛海清, 徐涛, 黄嘉盛, 等. 单芯电缆外护层绝缘缺陷及其差异化检修策略[J]. 绝缘材料, 2015, 48(11): 64-68. Niu Haiqing, Xu Tao, Huang Jiasheng, et al.Insulation defects in outer sheath of single-core cable and its differential maintenance strategy[J]. Insulating Materials, 2015, 48(11): 64-68. [7] Hirai N, Yamada T, Ohki Y.Comparison of broadband impedance spectroscopy and time domain reflectometry for locating cable degradation[C]// 2012 IEEE International Conference on Condition Monitoring and Diagnosis, Bali, Indonesia, 2012: 229-232. [8] Ohki Y, Hirai N.Location attempt of a degraded portion in a long polymer-insulated cable[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2018, 25(6): 2461-2466. [9] 潘文霞, 赵坤, 朱正鼎. 一种基于阻抗相位变化比率的长电缆局部缺陷定位新方法[J]. 中国电机工程学报, 2020, 40(12): 4043-4051. Pan Wenxia, Zhao Kun, Zhu Zhengding.A new method for local defect location of long cable based on impedance phase change ratio[J]. Proceedings of the CSEE, 2020, 40(12): 4043-4051. [10] Fantoni P F, Nordlund A.Wire system aging assessment and condition monitoring (WASCO)[R]. Copenhagen: Nordic Nuclear Safety Research (NKS- 130), 2006. [11] 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, 2011: 24-27. [12] 周志强. 基于宽频阻抗谱的电缆局部缺陷诊断方法研究[D]. 武汉: 华中科技大学, 2015. [13] 李蓉, 周凯, 万航, 等. 基于频域反射法的10 kV配电电缆中间接头受潮定位[J]. 电网技术, 2021, 45(2): 825-832. Li Rong, Zhou Kai, Wan Hang, et al.Moisture location of 10 kV cable joints in medium voltage distribution grid based on frequency domain reflection[J]. Power System Technology, 2021, 45(2): 825-832. [14] 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. [15] Zhao Shujing, Gong Liangtao, Yan Ruijian, et al.Defect location for cables based on frequency modulated continuous wave[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2022, 29(3): 1095-1102. [16] 齐国清. FMCW液位测量雷达系统设计及高精度测距原理研究[D]. 大连: 大连海事大学, 2001. [17] Stove A G.Linear FMCW radar techniques[J]. IEE Proceedings F Radar and Signal Processing, 1992, 139(5): 343. [18] Jankiraman M.FMCW radar design[M]. Norwood: Artech House, 2018. [19] Stone G C, Boggs S A.Propagation of partial discharge pulses in shielded power cable[C]//Conference on Electrical Insulation & Dielectric Phenomena - Annual Report, Amherst, MA, USA, 1982: 275-280. [20] Gouda O E, Matter Z.Effect of the temperature rise on the XLPE dielectric properties[C]//Proceedings of the 35th Midwest Symposium on Circuits and Systems, Washington, DC, USA, 1992: 95-98. [21] Hasegawa Y, Ohki Y, Fukunaga K, et al.Complex permittivity spectra of various insulating polymers at ultrawide-band frequencies[J]. Electrical Engineering in Japan, 2017, 198(3): 11-18. [22] Hasegawa Y, Takihana J, Ohki Y.Estimation of thermal expansion coefficients of polymeric insulating films from temperature dependence of dielectric permittivity[J]. Japanese Journal of Applied Physics, 2014, 53(7): 071501. [23] 罗俊华, 邱毓昌, 杨黎明. 10kV及以上电力电缆运行故障统计分析[J]. 高电压技术, 2003, 29(6): 14-16. Luo Junhua, Qiu Yuchang, Yang Liming.Operation fault analysis of CLPE power cable above 10 kV[J]. High Voltage Engineering, 2003, 29(6): 14-16. [24] 李蓉, 周凯, 饶显杰, 等. 基于输入阻抗谱的电缆故障类型识别及定位[J]. 高电压技术, 2021, 47(9): 3236-3245. Li Rong, Zhou Kai, Rao Xianjie, et al.Identification and location of cable faults based on input impedance spectrum[J]. High Voltage Engineering, 2021, 47(9): 3236-3245. [25] 陶宇航, 张熹, 宫祥龙. 10kV电缆故障测距及定位典型案例分析[J]. 电气技术, 2022, 23(2): 88-93. Tao Yuhang, Zhang Xi, Gong Xianglong.Typical cases analysis of 10kV cable fault location[J]. Electrical Engineering, 2022, 23(2): 88-93. |
|
|
|