Detection Method and Spatial-Temporal Evolution Characteristics Analysis of Micron Dust Dispersion Concentration Under Flat Electrodes
Wei Lai1, Xue Naifan2, Li Qingmin1, Wang Yuan1, Yang Ruicheng2
1. State Key Lab of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China;
2. Beijing Key Lab of HV and EMC North China Electric Power University Beijing 102206 China
In the process of GIS/GIL production, operation and maintenance, multi-scale dust is inevitably generated due to mechanical vibration, switch contact friction and man-made pollution. And micron level dust is an important part of pollutants, which may be the root cause of unknown discharge in the engineering site. For metal particles with millimeter and sub-millimeter particle sizes, the degree of harm is large and the fault characteristics are obvious. Faults caused can be identified and warned by existing detection methods such as camera photography and ultra-high frequency method. However, for micron level dust, the particle size is small and the fault characteristics are weak. The above detection method is difficult to collect the characteristic information of micron level dust. However, dust with the high physical and chemical activity gradually accumulates under the long-term operation of the equipment, which may induce serious discharge failure of the insulator and endanger the safe operation of the equipment. Therefore, it is necessary to study the detection method of micron level dust and the temporal-spatial evolution law of concentration.
Firstly, the light scattering characteristics of 10000, 2000 and 1000 mesh dust were analyzed, and the scattered light intensity distribution of dust was obtained. On this basis, a dust concentration detection platform based on plate electrode is designed and built by using the principle of light scattering. Therefore the quantitative detection of dust dispersion concentration is realized. Secondly, this paper carried out an experimental study on the temporal and spatial evolution of dust concentration, and analyzed the variation characteristics of concentration under different pressurization methods, pressurization time, dust particle size and initial dust mass. Finally, during the experiment, it was found that there was a special phenomenon of ‘agglomeration lifting’ when the dust dispersed between the plate electrodes. The feasibility of the light scattering method to detect the concentration was verified by the system based on the plate electrode, which provides a technical idea for the future application in GIS/GIL.
The experimental and simulation results show that when the scattering angle is 60 degrees, the scattering light intensity is large, and the interference of other walls on the scattering light can be avoided. And the sensitivity of dust concentration detection system is high based on this design. Through experiments, the relationship between the optical input signal and the electrical output signal of the detection system is established, and the dust concentration can be quantitatively characterized. When exploring the temporal-spatial evolution characteristics of concentration, it is found that dust particle size and initial mass are important factors affecting the change of dispersion concentration. In the process of pressure rise, the concentration evolution includes three stages: slightly rise stage, rise stage and fall stage. There is a peak phenomenon in the dispersion concentration. When the particle size decreases, the voltage required for the peak is smaller, and the concentration peak is larger. With the increase of initial dust mass, the dispersion concentration also shows the law that the voltage corresponding to the peak value decreases and the concentration value increases. For micron level dust, the smaller the particle size or the greater the initial mass, the greater the dispersion concentration amplitude. During the experiment, there is a special phenomenon of ‘agglomeration lifting’ in the process of dust movement. Dust agglomeration lifting may be due to the existence of microscopic forces. When agglomeration lifting occurs, the dust agglomerates are finally adsorbed on the high-voltage electrode, causing electric field distortion, reducing the distance of air gap breakdown and reducing the insulation level of the air gap of the flat electrode.
[1] 常亚楠, 耿秋钰, 胡智莹, 等. 直流电应力下线形微粒飞萤运动物理机制与临界起始判据[J]. 电工技术学报, 2023, 38(3): 648-658.
Chang Yanan, Geng Qiuyu, Hu Zhiying, et al.Physical mechanism and critical starting criterion of wire particle firefly movement under DC electric stress[J]. Transactions of China Electrotechnical Society, 2023, 38(3): 648-658.
[2] 赵军, 陈维江, 边凯, 等. 特高压GIL管廊短路故障条件空间磁场分布特性[J]. 高电压技术, 2021, 47(5): 1866-1871.
Zhao Jun, Chen Weijiang, Bian Kai, et al.Distribution characteristics of spatial magnetic field in UHV GIL gallery in short-circuit fault condition[J]. High Voltage Engineering, 2021, 47(5): 1866-1871.
[3] Ren Hanwen, Li Qingmin, Wang Zhongdong.An improved calibration method for the measurement of space charge inside insulating materials[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(4): 1652-1663.
[4] 梁瑞雪, 刘衡, 胡琦, 等. GIS/GIL内微米级金属粉尘动力学行为与诱发放电特性研究进展[J]. 中国电机工程学报, 2020, 40(22): 7153-7166.
Liang Ruixue, Liu Heng, Hu Qi, et al.Research advances in the kinetic behavior and induced discharge characteristics of micron metal dust within GIS/GIL[J]. Proceedings of the CSEE, 2020, 40(22): 7153-7166.
[5] 韩智云, 邹亮, 辛喆, 等. 直流GIL绝缘子环氧树脂/碳纳米管复合涂层关键物理性能的分子动力学模拟[J]. 电工技术学报, 2018, 33(20): 4692-4703, 4721.
Han Zhiyun, Zou Liang, Xin Zhe, et al.Molecular dynamics simulation of vital physical properties of epoxy/carbon nanotube composite coatings on DC GIL insulators[J]. Transactions of China Electrotechnical Society, 2018, 33(20): 4692-4703, 4721.
[6] 张兴辉, 常文治, 杜非, 等. GIS局部放电多特征量传感研究进展[J]. 高压电器, 2022, 58(4): 8-16.
Zhang Xinghui, Chang Wenzhi, Du Fei, et al.Research progress of multi-physics sensing in partial discharge of GIS[J]. High Voltage Apparatus, 2022, 58(4): 8-16.
[7] Dave J V.Scattering of visible light by large water spheres[J]. Applied Optics, 1969, 8(1): 155-164.
[8] 张淑玲. 基于光散射法的粉尘浓度监测仪的研究[D]. 沈阳: 东北大学, 2018.
[9] 宋熠金. 基于光散射法柴油车尾气颗粒物质量浓度传感器的研制[D]. 杭州: 中国计量学院, 2014.
[10] 赵济坤. 基于光散射法的烟尘发生及浓度测量装置[D]. 太原: 太原理工大学, 2017.
[11] 薛乃凡, 李庆民, 刘智鹏, 等. 微纳粉尘运动行为与微弱放电探测技术研究进展[J]. 电工技术学报, 2022, 37(13): 3380-3392.
Xue Naifan, Li Qingmin, Liu Zhipeng, et al.Research advances of the detection technology for kinetic behavior and weak discharge of the micro-nano dust[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3380-3392.
[12] 梁瑞雪, 王健, 胡琦, 等. 直流GIL盆式绝缘子附近微米级金属粉尘的动力学行为与吸附机制研究[J]. 中国电机工程学报, 2020, 40(4): 1387-1396, 1429.
Liang Ruixue, Wang Jian, Hu Qi, et al.Study on kinetic behavior and adsorption mechanism of the micron metal dust near the basin-type insulator in DC GIL[J]. Proceedings of the CSEE, 2020, 40(4): 1387-1396, 1429.
[13] Kuwahara H, Inamura S, Watanabe T, et al. Effect of solid impurities on breakdown in compressed SF6 gas[J]. IEEE Transactions on Power Apparatus and Systems, 1974, PAS-93(5): 1546-1555.
[14] 左晨泽. 基于单颗粒光散射法的气溶胶颗粒粒径测量的理论与实验研究[D]. 天津: 天津大学, 2018.
[15] 陈思睿. 悬浮体系偏振散射表征的理论和实用性研究[D]. 北京: 清华大学, 2018.
[16] Wiscombe W J.Improved Mie scattering algorithms[J]. Applied Optics, 1980, 19(9): 1505.
[17] 刘邦宇, 张秀再, 徐茜. 煤烟凝聚粒子对量子卫星通信性能的影响[J]. 光学学报, 2020, 40(3): 175-182.
Liu Bangyu, Zhang Xiuzai, Xu Xi.Influence of soot agglomerated particles on quantum satellite communication performance[J]. Acta Optica Sinica, 2020, 40(3): 175-182.
[18] Tamborini E, Cipelletti L.Multiangle static and dynamic light scattering in the intermediate scattering angle range[J]. Review of Scientific Instruments, 2012, 83(9): 093106.
[19] 王健, 平安, 常亚楠, 等. 直流应力下主动式微粒抑制方法的动态配合研究[J]. 电工技术学报, 2023, 38(10): 2794-2805, 2831.
Wang Jian, Ping An, Chang Yanan, et al.Research on dynamic coordination of active particles suppression methods under DC stress[J]. Transactions of China Electrotechnical Society, 2023, 38(10): 2794-2805, 2831.
[20] 律方成, 刘宏宇, 阴凯, 等. 直流GIL不均匀场中金属微粒运动的数值模拟及放电特性分析[J]. 中国电机工程学报, 2017, 37(10): 2798-2806.
Lü Fangcheng, Liu Hongyu, Yin Kai, et al.Numerical simulation and discharge characteristic analysis of metallic particle motion in non-uniform electric field of DC GIL[J]. Proceedings of the CSEE, 2017, 37(10): 2798-2806.
[21] 陈栋. 颗粒特性对光散射法在线测量颗粒物质量浓度的影响研究[D]. 武汉: 华中科技大学, 2019.
[22] Chen Dong, Liu Xiaowei, Han Jinke, et al.Measurements of particulate matter concentration by the light scattering method: Optimization of the detection angle[J]. Fuel Processing Technology, 2018, 179: 124-134.
[23] 季洪鑫. 交流运行电压下GIS中金属颗粒运动行为及放电特征[D]. 北京: 华北电力大学, 2017.
[24] 柳冠青. 范德华力和静电力下的细颗粒离散动力学研究[D]. 北京: 清华大学, 2011.
[25] 王健. 直流GIL金属微粒的荷电运动机制与治理方法研究[D]. 北京: 华北电力大学, 2017.
[26] 程涵, 魏威, Bilallqbal Ayubi, 等. 直流GIL中线形金属微粒电动力学行为研究[J]. 电工技术学报, 2021, 36(24): 5283-5293.
Cheng Han, Wei Wei, Ayubi B, et al.Study on the electrodynamic behavior of linear metal particles in DC gas insulated transmission line[J]. Transactions of China Electrotechnical Society, 2021, 36(24): 5283-5293.