Simulation and Experimental Research on Pin Insulator Incipient Fault Dynamic Characteristic in the Distribution Network
Yu Ying1, Liu Yadong1, Li Wei2, Cong Zihan1, Yan Yingjie1
1. School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China; 2. Yunnan Grid Electric Power Research Institute Yunnan Power Gird Co. Ltd Kunming 650217 China
Abstract：Pin insulators are widely used in distribution lines, and the faults caused by them account for about 10%. The thin porcelain between the top groove and the iron feet is prone to cause crack faults. Crack faults are high-resistance ground faults with low current amplitude, which will not trigger protection devices, it has self-clearing characteristics. We call it incipient fault of pin insulators, and one of its typical features is intermittent arcing. The high temperature and thermal stress generated by arc cause irreversible damage to the porcelain, thus the incipient faults gradually transform into permanent faults. Timely detecting the hidden dangers before the permanent failure is the key to lower the fault rate of the distribution lines. In order to realize the pre-fault prevention, the primary work is to research the incipient fault development process and extract the unique characteristics of the pin insulators’ incipient fault. The paper explores the dynamic development process and waveform characteristics of pin insulator incipient faults by theoretical exploration, simulation and experiment. Arcing and extinction occur alternately inside the crack of the pin insulator according to the theory of arc re-ignition. The mechanism of external discharge on the surface of the insulator is similar to that of the internal discharge inside the crack, but there are differences in the dynamic development of the arc. The speed of arc development is decided by comparing the time it takes for a partial arc to develop into a flashover. The shorter time it takes, the arc develops faster. The development speed of the internal discharge is much faster than that of the external discharge. The property of the two electrodes of the pin insulator discharge is quite different, which cause the differences of the positive and negative arcs in the fault.We establish multi-physics model of arc by COMSOL to obtain the dynamic development process of arc, temperature distribution, electro-magnetic field distribution and current and voltage waveforms. The different characteristics of internal discharge and external discharge arc are compared to get unique characteristics, which are consistent with the theoretical analysis. In addition, we simplify the three-phase system into a single-phase circuit, and build an artificial test platform. The pin insulator sample is placed in an artificial climate chamber for testing, the collected current and voltage waveforms verify the simulation results. Based on Magnetic Hydro Dynamics arc simulations and validation experiments, we get several characteristics of pin insulators’ incipient faults. ① Crack faults occurs in rainy and foggy weather, arc burn and extinguish alternately inside the crack, and waveforms of current and voltage conform to this feature. ② It takes a short time for the internal arc forming the flashover in the crack, thus the current change ratio at the instant of the flashover is much higher than that of the external discharge, which provides an idea for incipient fault identification. ③ The fault has an obvious polarity effect. At the same gap distance, when the aluminum wire is at a positive voltage, the gap is more likely to be broken down compared with the negative voltage applied to the aluminum wire. The research results provide a guidance for the detection and identification of pin insulators’ incipient fault.
余颖, 刘亚东, 李维, 丛子涵, 严英杰. 配电线路针式绝缘子早期故障动态特性研究[J]. 电工技术学报, 2023, 38(1): 71-82.
Yu Ying, Liu Yadong, Li Wei, Cong Zihan, Yan Yingjie. Simulation and Experimental Research on Pin Insulator Incipient Fault Dynamic Characteristic in the Distribution Network. Transactions of China Electrotechnical Society, 2023, 38(1): 71-82.
[1] 刘亚东, 丛子涵, 严英杰, 等. 配电设备早期故障检测基本原理、关键技术与发展趋势[J]. 供用电, 2020, 37(4): 10-16, 32. Liu Yadong, Cong Zihan, Yan Yingjie, et al.Basic principles, key technologies and development trends of incipient fault detection for power distribution equipments[J]. Distribution & Utilization, 2020, 37(4): 10-16, 32. [2] 熊思衡, 刘亚东, 方健, 等. 配电线路早期故障辨识方法[J]. 高电压技术, 2020, 46(11): 3970-3976. Xiong Siheng, Liu Yadong, Fang Jian, et al.Detection method of incipient faults of power distribution lines[J]. High Voltage Engineering, 2020, 46(11): 3970-3976. [3] 邱志斌, 阮江军, 黄道春, 等. 输电线路悬式瓷绝缘子老化形式分析与试验研究[J]. 高电压技术, 2016, 42(4): 1259-1267. Qiu Zhibin, Ruan Jiangjun, Huang Daochun, et al.Study on aging modes and test of transmission line porcelain suspension insulators[J]. High Voltage Engineering, 2016, 42(4): 1259-1267. [4] 楚恬歆, 张文海, 瞿科, 等. 基于复合判据的小电流接地系统接地型早期故障检测[J]. 高电压技术, 2022, 48(3): 1022-1031. Chu Tianxin, Zhang Wenhai, Qu Ke, et al.Grounded incipient fault detection based on compound criterion in non-solidly grounding system[J]. High Voltage Engineering, 2022, 48(3): 1022-1031. [5] Chang G, Hong Yonghan, Li Guanyi.A hybrid intelligent approach for classification of incipient faults in transmission network[J]. IEEE Transactions on Power Delivery, 2019, 34: 1785-1794. [6] Xiong Siheng, Liu Yadong, Fang Jian, et al.Incipient fault identification in power distribution systems via human-level concept learning[J]. IEEE Transactions on Smart Grid, 2020, 11(6): 5239-5248. [7] Cong Zihan, Liu Yadong, Fang Jian, et al.Root-cause identification of single line-to-ground fault in urban small current grounding systems based on correlation dimension and average resistance[J]. IEEE Transactions on Power Delivery, 2020, 35(4): 1834-1843. [8] 梁涵卿, 刘亚东, 盛戈皞, 等. 基于行波反演的输电线路单相接地故障重演方法[J]. 高电压技术, 2019, 45(1): 209-217. Liang Hanqing, Liu Yadong, Sheng Gehao, et al.Reproduction method for monophase-to-ground fault of transmission lines based on wave inversion[J]. High Voltage Engineering, 2019, 45(1): 209-217. [9] Du Ying, Liu Yadong, Shao Qingzhu, et al.Single line-to-ground faulted line detection of distribution systems with resonant grounding based on feature fusion framework[J]. IEEE Transactions on Power Delivery, 2019, 34(4): 1766-1775. [10] 秦雪, 刘亚东, 孙鹏, 等. 基于故障波形时频特征配网故障识别方法研究[J]. 仪器仪表学报, 2017, 38(1): 41-49. Qin Xue, Liu Yadong, Sun Peng, et al.Study on the line fault root-cause identification method in distribution networks based on time-frequency characteristics of fault waveforms[J]. Chinese Journal of Scientific Instrument, 2017, 38(1): 41-49. [11] Jiang Xu, Stephen B, McArthur S. Automated distribution network fault cause identification with advanced similarity metrics[J]. IEEE Transactions on Power Delivery, 2021, 36(2): 785-793. [12] Bastos A F, Santoso S.Universal waveshape-based disturbance detection in power quality data using similarity metrics[J]. IEEE Transactions on Power Delivery, 2020, 35(4): 1779-1787. [13] 瞿科, 张文海, 肖先勇, 等. 基于波形衰减因子的电缆接头绝缘早期故障状态监测[J]. 高电压技术, 2022, 48(1): 318-327. Qu Ke, Zhang Wenhai, Xiao Xianyong, et al.Condition monitoring for incipient faults of cable joint insulation based on waveform attenuation factor[J]. High Voltage Engineering, 2022, 48(1): 318-327. [14] Zhang Wenhai, Xiao Xianyong, Zhou Kai, et al.Multicycle incipient fault detection and location for medium voltage underground cable[J]. IEEE Transactions on Power Delivery, 2017, 32(3): 1450-1459. [15] 丛子涵, 刘亚东, 严英杰, 等. 基于磁流体动力学的配电线路树-线早期故障仿真分析[J]. 电工技术学报, 2020, 35(增刊2): 562-568. Cong Zihan, Liu Yadong, Yan Yingjie, et al.Simulation analysis of tree contact incipient fault in the distribution network based on magnetohydro-dynamic[J]. Transactions of China Electrotechnical Society, 2020, 35(S2): 562-568. [16] 梁栋, 徐丙垠, 唐毅, 等. 10kV架空导线单相触树接地故障模型及其检测方法[J]. 中国电机工程学报, 2021, 41(15): 5221-5231. Liang Dong, Xu Bingyin, Tang Yi, et al.Model and detection method for tree-contact single-phase-to-ground faults on 10kV overhead lines[J]. Proceedings of the CSEE, 2021, 41(15): 5221-5231. [17] 张崇兴, 任明, 周洁睿, 等. 振荡操作冲击电压下绝缘子气隙缺陷局部放电特性研究[J]. 电工技术学报, 2019, 34(14): 3074-3083. Zhang Chongxing, Ren Ming, Zhou Jierui, et al.Analysis for partial discharges behavior in SF6 gas filled void in gas insulated switchgear under oscillating switching impulses[J]. Transactions of China Electrotechnical Society, 2019, 34(14): 3074-3083. [18] 郑昕, 单潇洁. 低压交流电弧电流零区电压波形特征分析与应用[J]. 电工技术学报, 2020, 35(22): 4717-4725. Zheng Xin, Shan Xiaojie.Characteristic analysis and application research of low voltage AC arc voltage waveform at the current zero[J]. Transactions of China Electrotechnical Society, 2020, 35(22): 4717-4725. [19] Li Chuanyang, Qin Dehao, Baferani M A, et al, Flashover characteristics of printed circuit boards at low pressures[C]// 2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Vancouver, BC, Canada, 2021: 567-569. [20] 邱志斌, 阮江军, 徐闻婕, 等. 典型电极短空气间隙的击穿电压混合预测[J]. 高电压技术, 2018, 44(6): 2012-2018. Qiu Zhibin, Ruan Jiangjun, Xu Wenjie, et al.Hybrid prediction of the breakdown voltages of short air gaps with typical electrodes[J]. High Voltage Engineering, 2018, 44(6): 2012-2018. [21] 吴祺嵘, 张认成, 涂然, 等. 直流故障电弧稳态传热特性仿真研究[J]. 电工技术学报, 2021, 36(13): 2697-2709. Wu Qirong, Zhang Rencheng, Tu Ran, et al.Simulation study on steady-state heat transfer characteristics of DC arc fault[J]. Transactions of China Electrotechnical Society, 2021, 36(13): 2697-2709. [22] 罗毅, 唐炬, 潘成, 等. 直流GIS/GIL盆式绝缘子表面电荷主导积聚方式的转变机理[J]. 电工技术学报, 2019, 34(23): 5039-5048. Luo Yi, Tang Ju, Pan Cheng, et al.The transition mechanism of surface charge accumulation dominating way in DC GIS/GIL[J]. Transactions of China Electrotechnical Society, 2019, 34(23): 5039-5048. [23] 张博雅, 张贵新. 直流GIL中固-气界面电荷特性研究综述Ⅰ: 测量技术及积聚机理[J]. 电工技术学报, 2018, 33(20): 4649-4662. Zhang Boya, Zhang Guixin.Review of charge accumulation characteristics at gas-solid interface in DC GIL, part Ⅰ: measurement and mechanisms[J]. Transactions of China Electrotechnical Society, 2018, 33(20): 4649-4662. [24] 关志成,陈原, 梁曦东,等. 合成绝缘子直流污闪极性效应的研究[J]. 清华大学学报(自然科学版), 1999, 39(5): 13-15. Guan Zhicheng, Chen Yuan, Liang Xidong, et al.Polarity effect of DC contamination flashover of composite insulators[J]. Journal of Tsinghua University (Science and Technology), 1999, 39(5): 13-15. [25] 国家质量监督检验检疫总局, 中国国家标准化管理委员会. GB/T 1000—2016高压线路针式瓷绝缘子尺寸与特性[S]. 北京: 中国标准出版社, 2016. [26] 贾文彬, 司马文霞, 袁涛, 等. 半密闭灭弧腔室内电弧运动特性的三维仿真和实验[J]. 电工技术学报, 2021, 36(增刊1): 321-329. Jia Wenbin, Sima Wenxia, Yuan Tao, et al.3D simulation and experiment research on arc motion characteristics in the semi-enclosed arc-extinguishing chamber[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 321-329. [27] 丛子涵,刘亚东,严英杰,等.配电线路树线早期故障动态特性仿真与试验[J/OL].高电压技术:1-10[2022-07-15].DOI:10.13336/j.1003-6520.hve.20211995. Cong Zihan, Liu Yadong, Yan Yingjie, et al.Simulation and experimental research on tree contact incipient fault dynamic characteristic in the distribution network[J]. High Voltage Engineering:1-10[2022-07-15].DOI:10.13336/j.1003-6520.hve.20211995. [28] 薛永端, 李广, 徐丙垠. 利用熄弧后暂态信息测量谐振接地系统的对地电容[J]. 电工技术学报, 2020, 35(7): 1521-1528. Xue Yongduan, Li Guang, Xu Bingyin.Measuring method of capacitance to ground in resonant grounding system based on transient information after arc extinguishing[J]. Transactions of China Electro-technical Society, 2020, 35(7): 1521-1528. [29] 王宾, 崔鑫. 基于伏安特性动态轨迹的谐振接地系统弧光高阻接地故障检测方法[J]. 中国电机工程学报, 2021, 41(20): 6959-6967. Wang Bin, Cui Xin.Detection method of arc high resistance grounding fault in resonant grounding system based on dynamic trajectory of volt-ampere characteristic[J]. Proceedings of the CSEE, 2021, 41(20): 6959-6967. [30] 王宾, 崔鑫. 中性点经消弧线圈接地配电网弧光高阻接地故障非线性建模及故障解析分析[J]. 中国电机工程学报, 2021, 41(11): 3864-3872. Wang Bin, Cui Xin.Nonlinear modeling and analytical analysis of arc high resistance grounding fault in distribution network with neutral grounding via arc suppression coil[J]. Proceedings of the CSEE, 2021, 41(11): 3864-3872.
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