Digital Inference Method for Metal Particle Size Inside Gas Insulated Switchgear

doi:10.16183/j.cnki.jsjtu.2024.210

Abstract

Abstract:

Free metal particle defects are one of the frequent discharge defect types in gas insulated switchgear (GIS) equipment. Therefore, accurate estimation of their size and discharge severity is beneficial for understanding the insulation damage of equipment. In this paper, a method is proposed for estimating the size of internal metal particle in GIS through digital virtual test. First, the mathematical model of GIS metal particle jumping and its reciprocating motion is analyzed. Then, a relationship between particle size and its motion behavior is established by using the particle coordinate sequence obtained from digital inversion, and considering the back-and-forth motion characteristics and simulation analysis of metal particles. Finally, digital simulation traversal method and motion trajectory similarity analysis are proposed to achieve online estimation of metal particle size, and the simulation study verifies the feasibility and accuracy of the proposed method, which provides a basis for inferring the internal insulation condition of GIS equipment based on digital technology.

Key words: gas insulated switchgear (GIS), partial discharge, digital inference, metal particle size

CLC Number:

TM835

ZHANG Changhong, LI Weiguo, YANG Xu, LI Mingyang, WANG Miao, LUO Lin’gen. Digital Inference Method for Metal Particle Size Inside Gas Insulated Switchgear[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 664-673.

Figures/Tables 9

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References 19

[1]	詹诗语, 高国强, 曹炳磊, 等. 基于深度学习的局部放电分类识别研究综述[J]. 电气工程学报, 2025, 20(2): 371-382.
	ZHAN Shiyu, GAO Guoqiang, CAO Binglei, et al. Review on classification and recognition of partial discharge rest on deep learning[J]. Journal of Electrical Engineering, 2025, 20(2): 371-382.
[2]	陶然, 沈培锋, 陈挺, 等. 数字化模型下的气体绝缘封闭开关设备特高频信号反演实际放电量方法[J]. 上海交通大学学报, 2025, 59(6): 800-811. doi: 10.16183/j.cnki.jsjtu.2023.374
	TAO Ran, SHEN Peifeng, CHEN Ting, et al. Estimation method of actual discharge quantity inferred from ultra-high frequency signals in digital modeling of GIS[J]. Journal of Shanghai Jiao Tong University, 2025, 59(6): 800-811.
[3]	李庆民, 王健, 李伯涛, 等. GIS/GIL中金属微粒污染问题研究进展[J]. 高电压技术, 2016, 42(3): 849-860.
	LI Qingmin, WANG Jian, LI Botao, et al. Review on metal particle contamination in GIS/GIL[J]. High Voltage Engineering, 2016, 42(3): 849-860.
[4]	胡智莹, 魏来, 耿秋钰, 等. 直流GIS/GIL中线形金属微粒群飞萤运动现象与危险程度评估[J]. 中国电机工程学报, 2024, 44(15): 6219-6229.
	HU Zhiying, WEI Lai, GENG Qiuyu, et al. Firefly movement phenomenon of wire particle swarm and risk assessment in DC GIS/GIL[J]. Proceedings of the CSEE, 2024, 44(15): 6219-6229.
[5]	SELLARS A G, FARISH O, HAMPTON B F. Assessing the risk of failure due to particle contamination of GIS using the UHF technique[J]. IEEE Transactions on Dielectrics & Electrical Insulation, 1994, 1(2): 323-331.
[6]	BUDIMAN F N, KHAN Y, MALIK N H, et al. Utilization of artificial neural network for the estimation of size and position of metallic particle adhering to spacer in GIS[J]. IEEE Transactions on Dielectrics & Electrical Insulation, 2013, 20(6): 2143-2151.
[7]	戎琳, 贾勇勇, 杨景刚. 基于超声波飞行图的GIS自由金属微粒缺陷诊断研究[J]. 电工电气, 2014(10): 19-23.
	RONG Lin, JIA Yongyong, YANG Jinggang. Study on defect diagnosis of free metal particle in gas insulated switchgear based on ultrasonic flighting plot[J]. Electrotechnics Electric, 2014(10): 19-23.
[8]	张西子, 季洪鑫, 李成榕, 等. 采用碰撞频率和放电量估算运行电压下线形金属颗粒的尺寸[J]. 高压电器, 2017, 53(4): 107-115.
	ZHANG Xizi, JI Hongxin, LI Chengrong, et al. Size estimation of linear metal particle based on the collision frequency and discharge amplitude[J]. High Voltage Apparatus, 2017, 53(4): 107-115.
[9]	孙继星, 陈维江, 李志兵, 等. 直流电场下运动金属微粒的带电估算与碰撞分析[J]. 高电压技术, 2018, 44(3): 779-786.
	SUN Jixing, CHEN Weijiang, LI Zhibing, et al. Charge estimation and impact analysis of moving metal particle under DC electric field[J]. High Voltage Engineering, 2018, 44(3): 779-786.
[10]	盛戈皞, 钱勇, 罗林根, 等. 面向新型电力系统的电力设备运行维护关键技术及其应用展望[J]. 高电压技术, 2021, 47(9): 3072-3084.
	SHENG Gehao, QIAN Yong, LUO Lingen, et al. Key technologies and application prospects for operation and maintenance of power equipment in new type power system[J]. High Voltage Engineering, 2021, 47(9): 3072-3084.
[11]	李旭斌, 田付强, 郭亦可. 新型电力系统中电力设备健康管理与智能运维关键技术探究[J]. 电网技术, 2023, 47(9): 3710-3727.
	LI Xubin, TIAN Fuqiang, GUO Yike. Key technologies for health management and intelligent operation and maintenance of power equipment in new power systems[J]. Power System Technology, 2023, 47(9): 3710-3727.
[12]	彭在兴, 王颂, 陈佳莉, 等. 基于数字孪生的数字电力设备思考与展望[J]. 南方电网技术, 2022, 16(12): 9-15. doi: 10.13648/j.cnki.issn1674-0629.2022.12.002
	PENG Zaixing, WANG Song, CHEN Jiali, et al. Thinking and prospect of digital power equipment based on digital twin[J]. Southern Power System Technology, 2022, 16(12): 9-15. doi: 10.13648/j.cnki.issn1674-0629.2022.12.002
[13]	ABU-RUB O, DARWISH A. Partial discharge localization in gas-insulated switchgear using various learning algorithms[C]// 2019 2nd International Conference on Smart Grid and Renewable Energy. Doha, Qatar: IEEE, 2019: 1-6.
[14]	王淼, 罗林根, 钱勇, 等. 基于模拟故障数据库的GIS局部放电反演方法[J]. 高电压技术, 2022, 48(5): 1663-1673.
	WANG Miao, LUO Lingen, QIAN Yong, et al. Partial discharge inversion method for GIS based on simulated fault database[J]. High Voltage Engineering, 2022, 48(5): 1663-1673.
[15]	LU XinSheng, TIAN Yi, NIU Haitian, et al. Study of Electrostatic Motion Behavior and Inhibition of Metallic Particles in GIS/GIL[J]. IEEE Transactions on Power Delivery, 2024, 39(1): 83-92. doi: 10.1109/TPWRD.2023.3322702 URL
[16]	吴治诚, 张乔根, 宋佳洁, 等. GIS内自由导电微粒缺陷的局部放电相位图谱[J]. 高电压技术, 2019, 45(6): 1995-2002.
	WU Zhicheng, ZHANG Qiaogen, SONG Jiajie, et al. Phase resolved partial discharge pattern of free conductive particle defects in GIS[J]. High Voltage Engineering, 2019, 45(6): 1995-2002.
[17]	张永华, 杜煜, 潘峰, 等. 基于三次B样条曲线拟合的智能车轨迹跟踪算法[J]. 计算机应用, 2018, 38(6): 1562-1567. doi: 10.11772/j.issn.1001-9081.2017102563
	ZHANG Yonghua, DU Yu, PAN Feng, et al. Intelligent vehicle path tracking algorithm based on cubic B-spline curve fitting[J]. Journal of Computer Applications, 2018, 38(6): 1562-1567. doi: 10.11772/j.issn.1001-9081.2017102563
[18]	李杰, 李晓昂, 吕玉芳, 等. 正弦振动激励下GIS内自由金属微粒运动特性[J]. 电工技术学报, 2021, 36(21): 4580-4589.
	LI Jie, LI Xiaoang, Lü Yufang, et al. Motion characteristics of free metal particles in GIS under sinusoidal vibration[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4580-4589.
[19]	朱军, 唐万奇, 李凯. 基于曼哈顿距离模糊C聚类及粒子群优化的中继车辆选择算法[J]. 安徽大学学报(自然科学版), 2021, 45(4): 35-40.
	ZHU Jun, TANG Wanqi, LI Kai. The relay vehicle selection algorithm based on Manhattan distance-based fuzzy C clustering and particle swarm optimization[J]. Journal of Anhui University (Natural Science Edition), 2021, 45(4): 35-40.