基于非色散红外原理的GIS设备内部SO<sub>2</sub>含量高精度检测方法

doi:10.19595/j.cnki.1000-6753.tces.231990

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摘要

气体绝缘开关设备（GIS）内部放电会导致SF₆气体分解出SO₂等特征产物,可以根据SO₂含量反演放电故障的严重程度。然而,现有的SO₂气体传感器在检测精度、制造成本、设备体积、交叉敏感等方面无法兼顾。而且,GIS设备运行环境温度复杂多变,很容易导致传感器漂移失效。因此,该文设计了一种基于非色散红外（NDIR）原理的双通道SO₂检测装置,同时提出了一种基于多项式拟合系数修正的宽范围可迁移温度（0~40℃）补偿方法,可在1 000 μL/L量程内实现对SF₆背景下SO₂的准确检测,平均检测误差小于±2.8%。通过模拟不同强度的SF₆气体放电,获得了27~118 μL/L浓度SO₂的SF₆分解产物。根据气相色谱仪的对标检测结果,所设计的SO₂检测装置平均检测误差为±3.8 μL/L,证明了该SO₂检测装置在GIS设备放电故障在线监测领域的巨大潜力。

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	陈玉坤
	褚继峰
	阮卓奕
	李浩源
	杨爱军
	袁欢
	荣命哲
	王小华

关键词 ： SF₆分解产物, 非色散红外, SO₂检测装置, 温度漂移修正, 误差分析

Abstract：

If faults such as overheating, partial discharge, or arc interruption occur during the operation of gas insulated switchgear (GIS) equipment, SF₆ gas will react with other substances or decompose. The concentration of SO₂ generated by different discharge faults decomposition is common between 0~1 000 μL/L. Therefore, it is feasible to use SO₂ as a detection gas and judge the status or defects or faults of SF₆ equipment based on the concentration of SO₂. However, commercial SO₂ sensors with different sensing principles can not take into account the detection accuracy, manufacturing cost, equipment volume and other aspects. In order to solve the above problems, this paper designs a portable SO₂ detection system with short response time, high sensitivity, detection limit width, low cross sensitivity, and temperature compensation, which can detect SO₂ gas in the SF₆ background inside GIS.
This article first explores the temperature drift correction method under air background, measures the peak to peak output voltage of the detector at concentrations of 0~1 000 μL/L and temperatures of 0~40℃, proposes the concept of correction coefficient at different temperatures, and establishes a relationship model between the correction coefficient, detector output peak to peak, and SO₂ concentration. The average prediction error of the model in the air background is 1.2%, and compared with before temperature drift correction, the corrected sensor detection error can be reduced by 92.2%.
Due to the high cost of conducting long-term SO₂ temperature drift compensation experiments under the SF₆ background, and the fact that the greenhouse effect of SF₆ is 23 500 times that of CO₂ gas, it severely limits the practical application and promotion of this technology in terms of economy and environmental protection. Therefore, the next consideration is to migrate the temperature compensation method under the air background to the SF₆ background for detection. In the experiment, it was found that even if the absorption spectra of SF₆ and SO₂ overlap, the pyroelectric sensor can still generate further response and be used for SO₂ concentration calibration due to the saturation of high-purity SF₆ absorption. The average error of the SO₂ concentration calibration formula is only 2.8% when the compensation coefficient is transferred from the air background to the SF₆ background. Compared with before temperature correction, the corrected sensor detection error is reduced by 71.1%, and the temperature drift correction effect is significant. In addition, H₂S and CO are important components specified in the maintenance regulations for switchgear, in order to ensure that the SO₂ detection device will not be affected by the above gases, cross sensitivity experiments were conducted on the three gases: H₂S, CO, and SO₂. The average response error of SO₂ before and after mixing a single interfering gas was 4.5%, and the average response error of SO₂ before and after mixing two interfering gases was 5.1%.
Finally, on-site discharge experiments were simulated, Set a breakdown discharge voltage of 15 kV for GIS equipment, collect gas samples from 20, 40, 60, and 80 discharges, and use non-dispersive infrared (NDIR) sensors and gas chromatographs to detect the measured gas separately. The NDIR sensor produces a significant step response, and the response result is inverted into the concentration of SO₂. Compared with the detection result of the gas chromatograph, the average error of the two is only ± 3.8 μL/L.

Key words： SF₆ decomposition product non-dispersive infrared (NDIR) SO₂ detection device drift correction error analysis

收稿日期: 2023-11-29

PACS:	TN219
	TM855

基金资助:

国家自然科学基金（52207170, U2166214）、陕西省自然科学基础研究计划（2023-JC-JQ-41）、陕西省重点研发计划（2022GXLH-01-11）和电力设备电气绝缘国家重点实验室（EIPE23111, EIPE23408, EIPE23314）资助项目

通讯作者: 褚继峰,男,1993年生,助理教授,研究方向为电力设备状态监测与故障诊断、化学与光学传感器技术等。E-mail：jfchu93@xjtu.edu.cn

作者简介: 陈玉坤男,1998年生,博士研究生,研究方向为电力装备智能感知与运行维护。E-mail：3121104063@stu.xjtu.edu.cn

引用本文:

陈玉坤, 褚继峰, 阮卓奕, 李浩源, 杨爱军, 袁欢, 荣命哲, 王小华. 基于非色散红外原理的GIS设备内部SO₂含量高精度检测方法[J]. 电工技术学报, 0, (): 231990-231990. Chen Yukun, Chu Jifeng, Ruan Zhuoyi, Li Haoyuan, Yang Aijun, Yuan Huan, Rong Mingzhe, Wang Xiaohua. High-precision Detection of SO₂ inside GIS Equipment Based on Non-Dispersive Infrared Principle. Transactions of China Electrotechnical Society, 0, (): 231990-231990.

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