基于悬臂梁增强型光声光谱的SF<sub>6</sub>特征分解组分H<sub>2</sub>S定量检测

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摘要 H₂S作为SF₆分解产生的关键特征组分,能够有效反映SF₆气体绝缘电气设备内部绝缘故障的严重程度及故障是否涉及固体绝缘材料。采用新型硅微悬臂梁传声器与分布反馈式半导体激光器搭建了悬臂梁增强型光声光谱痕量气体检测系统,以H₂S气体v₁+v₂+v₃泛频吸收谱带中心波数为6 336.62 cm^-1的吸收谱线作为研究对象,仿真研究了H₂S气体的红外吸收特性,试验研究了H₂S气体悬臂梁增强型光声光谱响应特性,采用最小二乘回归分析了H₂S气体光声信号与其体积分数的关系。结果表明,在气体吸收未饱和的情况下,光声信号强度与H₂S体积分数之间存在良好的线性关系,系统对N₂中痕量H₂S的检测下限为0.84×10^-6,对SF₆中痕量H₂S的检测下限为1.75×10^-6。研究结果为采用SF₆分解组分法判断设备内部绝缘故障类型和严重程度提供了有力的数据支持。

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关键词 ： SF₆特征分解组分, H₂S, 悬臂梁增强型光声光谱, 定量检测

Abstract：As one of the key characteristic components caused by SF₆ decomposition in the SF₆ gas insulated electrical equipment,H₂S could effectively reflect the severity of the internal insulation faults and whether the faults involve solid insulation material.The paper builds a cantilever enhanced photoacoustic (PA) spectrometry (CEPAS) trace gas detection system based on the micro cantilever microphone and distributed feedback-diode laser.The characteristic absorption line of H₂S with a central wavenumber of 6 336.62 cm^-1in v₁+v₂+v₃ overtones absorption band is selected as the study objective.The frequency response of the CEPAS detection system is tested,and the quantitative relationship between the PA signal amplitude and the gas concentration is studied.The results show that there is a good linear relationship between the PA signal amplitude and the gas concentration.The detection limit of the CEPAS system for tracing H₂S in N₂ is 0.84*10^-6,and H₂S in SF₆ is 1.75*10^-6.It may be a powerful data supplement for the SF₆ decomposition components method in recognizing the internal fault category and severity of the SF₆ gas insulation electrical equipment.

Key words： SF₆ characteristic decomposition components H₂S cantilever enhanced photoacoustic spectrometry quantitative detection

收稿日期: 2015-05-20 出版日期: 2016-08-24

PACS:

TM595

基金资助:国家重点实验室自主研究资助项目(2007DA10512713207)。

通讯作者: 张晓星男,1972年生,博士,教授,博士生导师,研究方向为电气设备在线监测与故障诊断、绝缘状态评估、新型传感器技术。E-mail:zhxx@cqu.edu.cn(通信作者)

作者简介: 李新男,1990年生,硕士研究生,研究方向为电气设备在线监测与故障诊断、绝缘状态评估。E-mail:15683219950@163.com

引用本文:

张晓星, 李新, 刘恒, 李健, 程政. 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, Li Jian, Cheng Zheng. The Quantitative Detection of SF₆ Characteristic Decomposition Component H₂S Based on Cantilever Enhanced Photoacoustic Spectrometry. Transactions of China Electrotechnical Society, 2016, 31(15): 187-196.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I15/187

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