基于红外吸收原理的SF<sub>6</sub>气体泄漏检测技术应用研究

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Abstract During the long-term operation of SF₆ decomposition gas on-line monitoring device, SF₆ leakage may occur, which will seriously affect the safe operation of primary equipment, so it is necessary to monitor its leakage status. The existing SF₆ gas leakage detection methods are compared, and a SF₆ gas leakage monitoring method based on nondispersive infrared absorption sensor is proposed. Then the sensor detection circuit and the leakage simulation experimental platform are built. The response characteristics of the sensor to different leakage rates and leakage points, as well as the influence of layout and inlet orientation on the detection characteristics of the sensor are studied. The results show that with the increase of the leakage rate, the response of the sensor increases, the responses of sensors at different positions to three leakage points are different, and the sensor at position 3 has better response characteristics to the three leakage points, which is the preferred location for sensor installation. Besides, the response characteristic of the side layout is better than that of the forward layout. The technology can monitor SF₆ leakage at different speeds on-line, and the leakage area can be located by multi-point sensor arrangement.

Key words： SF₆ gas leakage on-line monitoring device SF₆ sensor SF₆ gas leakage detection leakage simulation

Received: 23 February 2021

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	Articles by authors
	MA Fengxiang
	YUAN Xiaofang
	CHENG Dengfeng
	ZHU Feng
	ZHAO Yue

Cite this article:

MA Fengxiang,YUAN Xiaofang,CHENG Dengfeng等. Study on application of SF₆ gas leakage detection technology based on infrared absorption principle[J]. Electrical Engineering, 2021, 22(10): 51-56.

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http://dqjs.cesmedia.cn/EN/Y2021/V22/I10/51

[1] 宋东波, 黄洁, 杨为, 等. 550kV气体绝缘金属封闭开关内部部件松动的带电检测分析[J]. 电气技术, 2019, 20(11): 112-116.
[2] 詹振宇, 阮浩鸥, 律方成, 等. 等离子体氟化改性环氧树脂及其在C₄F₇N/CO₂混合气体中电气性能研究[J]. 电工技术学报, 2020, 35(8): 189-200.
[3] 黄洁, 卢瑞芳. SF₆气体绝缘电流互感器动密封的研究与分析[J]. 电气技术, 2011, 12(6): 79-80.
[4] 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.
[5] 唐炬, 曾福平, 孙慧娟, 等. 微H₂O对过热故障下SF₆分解特性的影响及校正[J]. 中国电机工程学报, 2015, 35(9): 2342-2350.
[6] 孙慧娟. 微水微氧对过热性故障下SF₆分解特性的影响研究[D]. 重庆: 重庆大学, 2014.
[7] 赵明月, 韩冬, 周朕蕊, 等. 活性氧化铝和分子筛对C₃F₇CN/CO₂及其过热分解产物的吸附特性[J]. 电工技术学报, 2020, 35(1): 88-96.
[8] MENDUNI G, SAMPAOLO A, PATIMISCO P, et al.Front-end amplifiers for tuning forks in quartz enhanced photoacoustic spectroscopy[J]. Applied Sciences, 2020, 10(8): 2947.
[9] ZHANG Xiaoxing, ZHANG Yin, TANG Ju, et al.Optical technology for detecting the decomposition products of SF₆: a review[J]. Optical Engineering, 2018, 57(11): 1-12.
[10] ZHOU Hongyang, MA Guoming, WANG Yuan, et al.Optical sensing in condition monitoring of gas insulated apparatus: a review[J]. High Voltage, 2019, 4(4): 259-270.
[11] 付东旭. 基于激光成像的六氟化硫泄漏检测系统—扫描及激光器控制部分的研究[D]. 上海: 上海交通大学, 2008.
[12] 李玉海, 路自强, 李后顺, 等. 红外成像检漏技术在青海电网SF₆电气设备泄漏检测中的应用[J]. 高压电器, 2012(12): 130-134.
[13] 李军卫, 张英, 赵乐, 等. 基于红外视频图像处理的瓷柱式SF₆断路器泄漏区域检测研究[J]. 高压电器, 2018, 54(12): 50-55.
[14] 薛宇, 常建华, 徐曦. 基于RBF神经网络的非色散红外SF₆气体传感器[J]. 光子学报, 2016, 45(7): 176-181.
[15] 裴昱, 陈远鸣, 卞晓阳. 基于RBF神经网络气压补偿的非色散红外SF₆气体传感器[J]. 应用光学, 2018, 39(3): 366-372.
[16] FRODL R, TILLE T.A high-precision NDIR gas sensor for automotive applications[J]. IEEE Sensors Journal, 2006, 6(6): 1697-1705.