典型吸附剂对GIS固体绝缘介质放电特征气体变化规律影响

doi:10.19595/j.cnki.1000-6753.tces.171392

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Abstract In order to reduce the influence of adsorbents on the chemical diagnostic method used for the insulation status estimate of solid organic dielectric in gas insulated switchgear (GIS), creeping discharge model was set up on a small apparatus, to study the variation of characteristic gases in different conditions, including adding five different kinds of adsorbents (activated alumina, KDHF-03, etc) separately, The results show that the adsorption rate by different adsorbents on the carbon-containing gases is obviously smaller than that of the sulfur-containing gases. In addition to the adsorption rate on COS is not more than 40%, and the other three kinds of carbon-containing gases (CF₄, CS₂ and CO) are not affected by adsorbents or are weakly affected; and the influence of adsorbents can be neglected to diagnose insulation defects related to organic dielectric, according to the growth of characteristic gas CF₄ in GIS. In the presence of adsorbent, CS₂ can also be applied to judge whether the discharge is related to solid organic dielectric. The generation of COS indicates that the discharge level on the organic dielectric deepens, whereas the sensitivity of COS reflecting on creeping discharge level is decreased to some extent because of the influence of adsorbents. C(COS + CS₂)/C(SO₂F₂), as a new diagnostic characteristic is proposed, shows a positive correlation with the degree of discharge, which can effectively reduce the interference of adsorbents to determine the seriousness of the discharge defects involving solid organic dielectric in GIS.

Key words： Gas insulated switchgear adsorption organic dielectric characteristic gas creeping discharge

Received: 12 October 2017 Published: 15 October 2018

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TM855

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	Qiao Shengya
	Zhou Wenjun
	Wang Yong
	Xiong Jun
	Zheng Yu

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Qiao Shengya,Zhou Wenjun,Wang Yong等. Effect of Typical Adsorbents on Gas Change Characteristics of Gas Insulated Switchgear Solid Insulation Dielectric[J]. Transactions of China Electrotechnical Society, 2018, 33(19): 4627-4635.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171392 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I19/4627

[1] 王涛云, 马宏忠, 崔杨柳, 等. 基于可拓分析和熵值法的GIS状态评估[J]. 电力系统保护与控制, 2016, 44(8): 115-120.Wang Taoyun, Ma Hongzhong, Cui Yangliu, et al. Condition evaluation of gas insulated switchgear based on extension analysis and entropy method[J]. Power System Protection and Control, 2016, 44(8): 115-120.
[2] 汤义勤. GIS微水在线监测系统的研究与应用[D]. 杭州: 浙江大学, 2011.
[3] 黎斌. SF6高压电器设计[M]. 北京: 机械工业出版社, 2003.
[4] Kusumoto S, Itoh S, Tsuchiya Y, et al.Diagnostic technique of gas insulated substation by partial discharge detection[J]. IEEE Transactions on Power Apparatus and Systems, 1980, 99(4): 1456-1465.
[5] DL/T639—1997六氟化硫电气设备运行、试验及检修人员安全防护细则[S]. 北京: 中国电力出版社, 1997.
[6] 颜湘莲, 王承玉, 季严松, 等. 气体绝缘设备中SF₆气体分解产物与设备故障关系的建模[J]. 电工技术学报, 2015, 30(22): 231-238.Yan Xianglian, Wang Chengyu, Ji Yansong, et al. Modeling of the relation between SF₆ decomposition products and interior faults in gas insulated equipment[J]. Transactions of China Electrotechnical Society, 2015, 30(22): 231-238.
[7] 陈强, 李庆民, 丛浩熹, 等. 引入多重边界条件的GIS母线温度分布多场耦合计算及影响因素分析[J]. 电工技术学报, 2016, 31(17): 187-195.Chen Qiang, Li Qingmin, Cong Haoxi, et al. Numerical calculation and correlative factors analysis on temperature distribution of GIS bus bar based on coupled multi-physics methodology combined with multiple boundary conditions[J]. Transactions of China Electrotechnical Society, 2016, 31(17): 187-195.
[8] 唐念, 乔胜亚, 李丽, 等. HF和H₂S作为气体绝缘组合电器绝缘缺陷诊断特征气体的有效性[J]. 电工技术学报, 2017, 32(19): 202-211.Tang Nian, Qiao Shengya, Li Li, et al. Validity of HF and H₂S as target gases of insulation monitoring in gas insulated switchgear[J]. Transactions of China Electrotechnical Society, 2017, 32(19): 202-211.
[9] 张晓星, 董星辰, 陈秦川. 锐钛矿型(101)晶面吸附SF₆局部放电分解组分的气敏机理分析[J]. 电工技术学报, 2017, 32(3): 200-209.Zhang Xiaoxing, Dong Xingchen, Chen Qinchuan. Gas sensing mechanism anysis of SF₆ decomposed gases adsorption on anatase (101) surface under partial discharge[J]. Transactions of China Electrotechnical Society, 2017, 32(3): 200-209.
[10] 毛建坤, 汤会增, 洪西凯, 等. SF₆气体分解物组份检测法在GIS局部放电故障诊断中的应用[J]. 电气技术, 2016, 17(8): 99-102.Mao Jiankun, Tang Huizeng, Hong Xikai, et al. Application of SF₆ gas decomposition component detection method in the diagnosis of partial discharge in GIS[J]. Electrical Engineering, 2016, 17(8): 99-102.
[11] 唐炬, 曾福平, 梁鑫, 等. 两种吸附剂对SF₆分解特征组分吸附的试验与分析[J]. 中国电机工程学报, 2013, 33(31): 211-219.Tang Ju,Zeng Fuping,Liang Xin,et al. A comparative experimental study on the interaction of SF₆ feature decomposition products with alumina and molecular sieve KDHF-03[J]. Proceedings of the CSEE, 2013, 33(31): 211-219.
[12] 肖焓艳, 张晓星, 肖淞, 等. 环境介质对介质阻挡放电降解SF₆影响的实验[J]. 电工技术学报, 2017, 32(20): 20-27.Xiao Hanyan, Zhang Xiaoxing, Xiao Song, et al. Experiment of effects of ambient medium on sulfur hexafluoride degradation for a double dielectric barrier discharge reactor[J]. Transactions of China Electrotechnical Society, 2017, 32(20): 20-27.
[13] 唐炬, 王立强, 张潮海, 等. 吸附剂对局部过热性故障下SF₆分解特征组分的吸附特性[J].高电压技术, 2015, 41(11): 3538-3545.Tang Ju, Wang Liqiang, Zhang Chaohai, et al. Adsorption regularity of adsorbents on SF₆ decomposition characteristics components under partial overthermal fault[J]. High Voltage Engineering, 2015, 41(11): 3538-3545.
[14] 乔胜亚, 周文俊, 唐念, 等. 不同吸附剂对GIS局部放电特征气体变化规律的影响[J]. 电工技术学报, 2016, 31(3): 113-120. Qiao Shengya, Zhou Wenjun, Tang Nian, et al. Effects of different adsorbents on the evolving law of target gases under partial discharges in GIS[J]. Transactions of China Electrotechnical Society, 2016, 31(3): 113-120.
[15] 唐炬, 杨东, 曾福平, 等. 基于分解组分分析的SF₆设备绝缘故障诊断方法与技术的研究现状[J]. 电工技术学报, 2016, 31(20): 41-54.Tang Ju, Yang Dong, Zeng Fuping, et al. Research status of SF₆ insulation equipment fault diagnosis method and technology based on decomposed components analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(20): 41-54.
[16] 张晓星, 李新, 刘恒, 等. 基于悬臂梁增强型光声光谱的SF₆特征分解组分H₂S定量检测[J]. 电工技术学报, 2016, 31(15): 187-196.Zhang Xiaoxing, Li Xin, Liu Heng, et al. The quantitative detection of SF₆ characteristic decomposition component H₂S based on cantilever enhanced photoacoustic spectrometry[J]. Transactions of China Electrotechnical Society, 2016, 31(15): 187-196.
[17] 汲胜昌, 钟理鹏, 刘凯, 等. SF₆放电分解组分分析及其应用的研究现状与发展[J]. 中国电机工程学报, 2015, 35(9): 2318-2332.Ji Shengchang, Zhong Lipeng, Liu Kai, et al. Research status and development of SF₆ decomposition components analysis under discharge and its application[J]. Proceedings of the CSEE, 2015, 35(9): 2318-2332.
[18] Zhou Wenjun, Zheng Yu, Qiao Shengya, et al.Detection of intense partial discharge of epoxy insulation in SF₆ insulated equipment using carbonyl sulfide[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2016, 23(5): 2942-2948.
[19] 苏镇西, 赵也. 设备吸附剂对SF₆气体分解产物检测结果影响的试验研究[J]. 高压电器, 2013, 49(6): 26-31.Su Zhenxi, Zhao Ye. Experimental investigation into effects of adsorbents on detection of SF₆ decomposition products in SF₆ equipment[J]. High Voltage Apparatus, 2013, 49(6): 26-31.
[20] 王恩俊, 张建文, 马晓伟, 等. 基于CEEMD-EEMD的局部放电阈值去噪新方法[J]. 电力系统保护与控制, 2016, 44(15): 93-98.Wang Enjun, Zhang Jianwen, Ma Xiaowei, et al. A new threshold denoising algorithm for partial discharge based on CEEMD-EEMD[J]. Power System Protection and Control, 2016, 44(15): 93-98.
[21] 鲍永胜, 郝峰杰, 徐建忠, 等. GIS局部放电脉冲分类特征提取算法[J]. 电工技术学报, 2016, 31(9): 181-188.Bao Yongsheng, Hao Fengjie, Xu Jianzhong, et al. Classification feature extraction algorithm for GIS partial discharge pulses[J]. Transactions of China Electrotechnical Society, 2016, 31(9): 181-188.
[22] 周永言, 乔胜亚, 李丽, 等. GIS 中S₂OF₁₀作为局部放电特征气体的有效性分析[J]. 中国电机工程学报, 2016, 36(3): 871-878.Zhou Yongyan, Qiao Shengya, Li Li, et al. Validity analysis of S₂OF₁₀ as a target gas of partial discharge in GIS[J]. Proceedings of the CSEE, 2016, 36(3): 871-878.
[23] DL/T 1366—2014 电力设备用六氟化硫气体标准[S]L/T 1366—2014 电力设备用六氟化硫气体标准[S]. 北京: 中国电力出版社, 2014.
[24] Chen Jun, Zhou Wenjun, Yu Jianhui, et al.Insulation condition monitoring of epoxy spacers in GIS using a decomposed gas CS₂[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2013, 20(6): 2152-2157.