基于SF6气体温度迟滞模型的密度监测失效判定策略

doi:10.11930/j.issn.1004-9649.202311004

摘要/Abstract

摘要：

气体绝缘开关（gas insulated switchgear， GIS）设备SF₆气体密度监测失效可能会导致泄漏状态误判断，威胁电网安全运行。为此，针对数字式SF₆气体密度监测装置特点，构建并优化了基于热力学的SF₆气体温度迟滞模型。通过温度迟滞实验，获取了模型中未知参数。模拟实验表明，SF₆气体温度迟滞模型温度补偿偏差为±0.6 ℃，基于补偿后温度的计算压力与压力传感器检测压力偏差为±0.002 MPa。设计基于计算压力与检测压力相互验证的密度监测失效判定策略，结合某220 kV变电站中试点设备数据进行验证，经SF₆气体温度迟滞模型温度补偿并归算至20 ℃下的压力与实际值均不超过0.002 MPa，验证了该模型的准确度以及SF₆气体密度监测失效判定策略现场应用的可行性。

关键词: SF₆气体, 数字式SF₆气体密度监测装置, 监测失效判定, 温度迟滞模型

Abstract:

The malfunctioning of SF₆ gas density monitoring in GIS equipment could erroneously indicate a leakage, potentially compromising the electrical grid's safe operation. In response, a thermodynamics-based temperature hysteresis model for SF₆ gas was developed and refined, tailored for digital gas density monitoring apparatus. The model's unknown parameters were deduced from temperature hysteresis experiments. The simulations highlighted a temperature compensation deviation in the SF₆ gas temperature hysteresis model of ±0.6 ℃, with a pressure calculation discrepancy, corrected for temperature, showing only ±0.002 MPa against sensor-detected pressures. A strategic approach for identifying density monitoring failures was devised, which relies on the corroboration between calculated and sensor-detected pressures. This approach was put to the test using data from a pilot device in a 220 kV substation. After applying temperature adjustments through the SF₆ gas temperature hysteresis model and recalibrating the pressure to standard conditions at 20 ℃, the results remained within a tight margin of 0.002 MPa, attesting to the model's precision and the practicality of the proposed SF₆ gas density monitoring failure detection strategy in operational environments.

Key words: SF₆ gas, digital SF₆ gas density monitoring device, monitoring failure determination, temperature hysteresis model

朱榜超, 商琼玲, 黄珠羡. 基于SF₆气体温度迟滞模型的密度监测失效判定策略[J]. 中国电力, 2024, 57(5): 200-210.

Bangchao ZHU, Qiongling SHANG, Zhuxian HUANG. SF₆ Gas Temperature Hysteresis Model Based Density Monitoring Failure Judgement Criterion[J]. Electric Power, 2024, 57(5): 200-210.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311004

https://www.electricpower.com.cn/CN/Y2024/V57/I5/200

图/表 10

图 1 散热过程

Fig.1 Heat dissipation process

表 1 SF6气体热物性参数

Table 1 SF6 gas thermophysical property parameters

温度/ (℃)	$ {G}_{\rm M} $/ (W·(m·K)^–1)	$ {G}_{{\rm SF}_{6}} $/ (W·(m·K)^–1)	$ {\theta }_{{\rm SF}_{6}} $/ (Pa·s)	$ {C}_{{\rm SF}_{6}} $/ (W·(m²·K)^–1)
–40	53.819	8.8×10^–3	1.92×10^–6	656
–20	52.759	10.0×10^–3	2.12×10^–6	684
0	51.699	11.1×10^–3	2.31×10^–6	713
20	50.639	12.4×10^–3	2.50×10^–6	742
40	49.579	13.6×10^–3	2.70×10^–6	842

图 2 SF6气体温度迟滞实验平台

Fig.2 SF6 gas temperature hysteresis experimental platform

图 3 0.5 MPa室内实验数据及分析

Fig.3 0.5 MPa indoor experimental data and analysis

图 4 0.8 MPa室内实验数据及分析

Fig.4 0.8 MPa indoor experimental data and analysis

图 5 0.5 MPa室外实验数据及分析

Fig.5 0.5 MPa outdoor experimental data and analysis

图 6 0.8 MPa室外实验数据及分析

Fig.6 0.8 MPa outdoor experimental data and analysis

图 7 不同工作环境下温度和压力实验结果

Fig.7 Temperature and pressure test results in different working environments

图 8 SF6气体密度监测失效判定策略

Fig.8 Failure Determination Strategy for SF6 Gas Density Monitoring

图 9 现场验证结果

Fig.9 Field verification results

参考文献 29

1	张晓星, 肖淞, 张博雅, 等. PFAS及含氟气体管控下环保绝缘气体研究与电力装备应用展望[J]. 中国电机工程学报, 2024, 44 (1): 362- 377.
	ZHANG Xiaoxing, XIAO Song, ZHANG Boya, et al. Challenges and prospects for the research of environmentally friendly insulating gases and applications of power equipment under control policies of PFAS and fluorine gas[J]. Proceedings of the CSEE, 2024, 44 (1): 362- 377.
2	王昊, 张长虹, 杨旭, 等. 420kV及以上高压断路器电寿命试验中SF₆气体分解产物及其影响研究[J]. 高压电器, 2023, 59 (10): 88- 95.
	WANG Hao, ZHANG Changhong, YANG Xu, et al. Study on the effect of SF₆ gas decomposition products in electrical endurance test of 420 kV and above circuit breaker[J]. High Voltage Apparatus, 2023, 59 (10): 88- 95.
3	田汇冬, 靳守锋, 谢韬, 等. 高压套管表带触指SF₆气氛中高温腐蚀特性研究[J/OL]. 高压电器: 1–12 [2023-10-18]. http://kns.cnki.net/kcms/detail/61.1127.TM.20231016.1712.002.html.
	TIAN Huidong, JIN Shoufeng, XIE Tao, et al. Research on High Temperature Corrosion Characteristics of the Strap Contacts in SF₆ Atmosphere Used in HV Bushin-g[J/OL]. High Voltage Apparatus: 1–12 [2023-10-18]. http://kns.cnki.net/kcms/detail/61.1127.TM.20231016.1712.002.html.
4	李飞高, 李瑄. 具有压力自动控制功能的SF₆气体密度检验装置[J]. 制造业自动化, 2022, 44 (1): 170- 173.
	LI Feigao, LI Xuan. SF₆ gas density inspection device with automatic pressure control function[J]. Manufacturing Automation, 2022, 44 (1): 170- 173.
5	龙军, 罗立波, 苏佳华, 等. 一种免拆卸校验的SF₆气体密度继电器的研制[J]. 高压电器, 2019, 55 (7): 242- 247.
6	安春燕, 陆阳, 翟迪, 等. 电力智能传感器及传感网安全防护技术[J]. 中国电力, 2023, 56 (11): 67- 76.
	AN Chunyan, LU Yang, ZHAI Di, et al. Security protection of electrical intelligent sensors and sensor networks[J]. Electric Power, 2023, 56 (11): 67- 76.
7	刘杰, 毛海波, 姜涛, 等. SF₆密度继电器监测GIS气室压力的误差分析[J]. 浙江电力, 2022, 41 (2): 73- 77.
	LIU Jie, MAO Haibo, JIANG Tao, et al. Error analysis of SF₆ density relay in pressure monitoring of GIS chamber[J]. Zhejiang Electric Power, 2022, 41 (2): 73- 77.
8	蒋树屏, 李静, 张丹丹, 等. 钢壳混凝土沉管隧道管节结构热量传递规律试验研究[J]. 现代隧道技术, 2023, 60 (1): 168- 178.
	JIANG Shuping, LI Jing, ZHANG Dandan, et al. Experimental study on the law of heat transfer of tube structure of the steel-concrete-steel immersed tube tunnel[J]. Modern Tunnelling Technology, 2023, 60 (1): 168- 178.
9	孙尚瑜, 许树学, 曹瑞林, 等. 家用空气源热泵蓄热式热管散热器的自然对流传热特性[J/OL]. 制冷学报: 1–8 [2023-10-18]. http://kns.cnki.net/kcms/detail /11.2182.TB.20231017.1225.002.html.
	SUN Shangyu, XU Shuxue, CAO Ruilin, et al. Natural Convection Heat Transfer Characteristics of Domestic Air Source Heat Pump Regenerative Heat Pipe Radiator[J/OL]. Journal of Refrigeration: 1–8 [2023-10-18]. http://kns.cnki.net/kcms/detail/11.2182.TB.20231 017.1225.002.html.
10	秦晓宇, 吕寻浩, 陈玉, 等. 高寒地区GIS的适应性研究[J]. 高压电器, 2021, 57 (6): 72- 78, 85.
	QIN Xiaoyu, LV Xunhao, CHEN Yu, et al. Study on adaptability of GIS in extreme cold region[J]. High Voltage Apparatus, 2021, 57 (6): 72- 78, 85.
11	薛庆宽. 高寒地区SF₆断路器防液化技术研究与控制系统实现[D]. 郑州: 郑州大学, 2018.
	XUE Qingkuan. Research on anti liquefaction technology and control system realization for SF₆ circuit breaker in alpine region[D]. Zhengzhou: Zhengzhou University, 2018.
12	沈腾达, 周文俊, 王宝山, 等. SF₆替代气体的分子构效关系研究进展[J]. 绝缘材料, 2022, 55 (6): 1- 5.
	SHEN Tengda, ZHOU Wenjun, WANG Baoshan, et al. Research progress of molecular structure-activity relationship of SF₆ substitute gas[J]. Insulating Materials, 2022, 55 (6): 1- 5.
13	马世恒, 葛敬冉, 刘凯, 等. 玻璃纤维/环氧树脂预浸料固化全过程的比热容和热导率研究[J/OL]. 复合材料科学与工程: 1–6[2023-08-04]. https://kns.cnki.net/kcms/detail/10.1683.TU.20230803.1537.008.html.
	MA Shiheng, GE Jingran, LIU Kai, et al. Study on specific heat capacity and thermal conductivity of glass fiber/epoxy resin prepreg during the whole curing process[J/OL]. Composites Science and Engineering: 1–6[2023-08-04]. https://kns.cnki.net/kcms/detail/10.1683.TU.20230803.1537.008.html.
14	郑伟龙. 12 kV开关柜温度场分析及优化设计[D]. 厦门: 厦门理工学院, 2021.
	ZHENG Weilong. Temperature field analysis and optimization design of 12 kV switchgear[D]. Xiamen: Xiamen University of Technology, 2021.
15	彭波. 12 kV环保型气体绝缘开关柜传热机理研究[D]. 厦门: 厦门理工学院, 2019.
	PENG Bo. Research on heat transfer mechanism of 12 kV environmentally friendly gas insulated switchgear[D]. Xiamen: Xiamen University of Technology, 2019.
16	居一峰, 蒋卿, 杨鹤猛, 等. 异常发热复合绝缘子温升的影响因素研究[J]. 智慧电力, 2020, 48 (11): 86- 91.
	JU Yifeng, JIANG Qing, YANG Hemeng, et al. Study on influence factors of temperature rise on composite insulator with abnormal heating[J]. Smart Power, 2020, 48 (11): 86- 91.
17	斯小琴, 陈大伟, 岳生伟. 一维热传导方程数值解的计算机仿真与研究[J]. 青岛理工大学学报, 2023, 44 (5): 169- 174.
	SI Xiaoqin, CHEN Dawei, YUE Shengwei. Computer simulation and research on numerical solution of one-dimensional heat conduction equation[J]. Journal of Qingdao University of Technology, 2023, 44 (5): 169- 174.
18	李航洋, 阳同光. 计及动态非均匀热特性的储能软包锂电池充放电热路模型[J]. 电力系统保护与控制, 2023, 51 (19): 104- 113.
	LI Hangyang, YANG Tongguang. A charging/discharging thermal circuit model for energy storage pouch lithium batteries considering dynamic and non-uniform characteristics[J]. Power System Protection and Control, 2023, 51 (19): 104- 113.
19	王为清, 杨立, 李彦强, 等. 计及容器壁温度变化的容器充气特性数值模拟[J]. 液压与气动, 2015, (1): 57- 61.
	WANG Weiqing, YANG Li, LI Yanqiang, et al. Numerical simulation of gas characteristics during tank charge considering temperature variation of vessel wall[J]. Chinese Hydraulics & Pneumatics, 2015, (1): 57- 61.
20	骆常璐, 杨姣龙, 李松磊, 等. 基于等效热路和有限元分析的GIS温升研究[J]. 高压电器, 2021, 57 (5): 67- 76.
	LUO Changlu, YANG Jiaolong, LI Songlei, et al. Study on temperature rise of GIS based on equivalent thermal circuit and finite element analysis[J]. High Voltage Apparatus, 2021, 57 (5): 67- 76.
21	肖成志, 张亚涛, 于洪兴, 等. 季冻区环境温度变化对加筋土挡墙内部温度场的影响研究[J]. 工程地质学报, 2023, 31 (6): 2104- 2114.
	XIAO Chengzhi, ZHANG Yatao, YU Hongxing, et al. Effect of ambient temperature changing in seasonally frozen zone on temperature field of inner reinforced-soil retaining wall[J]. Journal of Engineering Geology, 2023, 31 (6): 2104- 2114.
22	李琳睿, 孙晓霞, 王一凡, 等. 壁面热辐射对车内温度场影响的分析[J]. 北京理工大学学报, 2024, 44 (1): 60- 68.
	LI Linrui, SUN Xiaoxia, WANG Yifan, et al. Effect of wall thermal radiation on temperature field of a vehicle[J]. Transactions of Beijing Institute of Technology, 2024, 44 (1): 60- 68.
23	薛继鹏. 大电流开关柜触头热管散热关键技术研究[D]. 合肥: 合肥工业大学, 2016.
24	肖淞, 石生尧, 林婧桐, 等. “碳达峰、碳中和” 目标下高压电气设备中强温室绝缘气体SF₆控制策略分析[J]. 中国电机工程学报, 2023, 43 (1): 339- 357.
	XIAO Song, SHI Shengyao, LIN Jingtong, et al. Analysis on the control strategy of the strong greenhouse insulating gas SF₆ in high-voltage electrical equipment under the goal of "emission peak and carbon neutrality"[J]. Proceedings of the CSEE, 2023, 43 (1): 339- 357.
25	中国国家标准化管理委员会. 六氟化硫电气设备中气体管理和检测导则: GB/T 8905—2012[S]. 北京: 中国电力企业联合会, 2012.
26	张朕豪. 分布式GIS配电室气体安全监测系统设计与实现[D]. 杭州: 杭州电子科技大学, 2023.
	ZHANG Zhenhao. Design and implementation of distributed GIS distribution room gas safety monitoring system[D]. Hangzhou: Hangzhou Dianzi University, 2023.
27	李丰君, 王磊, 赵健, 等. 基于天气融合和LSTM网络的分布式光伏短期功率预测方法[J]. 中国电力, 2022, 55 (11): 149- 154.
	LI Fengjun, WANG Lei, ZHAO Jian, et al. Research on distributed photovoltaic short-term power prediction method based on weather fusion and LSTM-net[J]. Electric Power, 2022, 55 (11): 149- 154.
28	李丹, 张远航, 李黄强, 等. 基于精准气象数据的地区电网短期负荷智能预测系统设计[J]. 中国电力, 2022, 55 (7): 128- 133.
	LI Dan, ZHANG Yuanhang, LI Huangqiang, et al. Design of a short-term load intelligent forecasting system for regional power grid based on accurate weather data[J]. Electric Power, 2022, 55 (7): 128- 133.
29	王勃, 冯双磊, 刘晓琳, 等. 计及转折性天气过程识别与检验的短期风电功率预测[J]. 南方电网技术, 2023, 17 (12): 52- 62.
	WANG Bo, FENG Shuanglei, LIU Xiaolin, et al. Short-term wind power prediction considering identification and testing of transitional weather processes[J]. Southern Power System Technology, 2023, 17 (12): 52- 62.

基于SF₆气体温度迟滞模型的密度监测失效判定策略

SF₆ Gas Temperature Hysteresis Model Based Density Monitoring Failure Judgement Criterion

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