摘要
基于SF_(6)分解组分检测法的气体绝缘电气设备在线监测及故障诊断技术具有很强的现场抗干扰能力及良好的应用前景。利用紫外光谱技术可以对SF_(6)分解组分中的CS_(2)进行有效检测,但是CS_(2)所处的紫外光谱吸收波段与SF_(6)分解组分中的H;S相重叠,可能存在一定的重叠干扰影响。因此,文中搭建了紫外光谱检测平台,通过配制微量CS_(2)与H;S混合气体模拟真实气体绝缘电气设备中分解组分,对SF_(6)分解组分混合气体中CS_(2)定量检测准确性的问题进行了研究。结果表明:混合气体中不同体积分数的H;S对CS_(2)的定量检测影响较小,在采用Meyer小波及傅里叶变换对光谱进行处理后,CS_(2)定量检测误差最大仅为1.4 ppb(1 ppb=1×10^(-9)),误差百分比不超过5%,说明了利用紫外光谱技术进行真实气体绝缘设备中CS_(2)定量检测的可靠性。
The on-line monitoring and fault diagnosis technology of gas insulated electrical equipment based on SF_(6)decomposition component detection method has strong site anti-interference ability and good application prospects.Use of ultraviolet spectroscopy technology can detect effectively CS_(2)in SF_(6)decomposition components. However,the ultraviolet spectroscopy and absorption band of CS_(2)overlaps with H;S of SF_(6)decomposition components,which may have some overlapping interference effects. Therefore,a platform for ultraviolet spectroscopy detection is set up in this paper. The accuracy of quantitative detection of CS_(2)in SF_(6)decomposition component gas mixture is studied by way of preparing traces of CS_(2)and H;S gas mixture to simulate decomposition component of real gas insulated electrical equipment. The results show that the influence of H;S with different volume fraction of the gas mixture on the quantitative detection of CS_(2)is less. The maximum error of the quantitative detection of CS_(2)is only 1.4 ppb(1 ppb=1×10;) and the error percentage is no more than 5% after processing the spectrum by Meyer wavelet and Fourier transform’indicating reliability of the quantitative detection of CS_(2)in real gas insulation equipment by using ultraviolet spectroscopy technology.
作者
刘咏飞
马勇
赵科
李洪涛
贾勇勇
程宏图
张晓星
LIU Yongfei;MA Yong;ZHAO Ke;LI Hongtao;JIA Yongyong;CHENG Hongtu;ZHANG Xiaoxing(Laboratory of GIS Operation and Maintenance Technology,State Grid Jiangsu Electric Power Co.,Ltd.Research Institute,Nanjing 211103,China;School of Electrical Engineering and Automation,Wuhan university,Wuhan 430072,China)
出处
《高压电器》
CAS
CSCD
北大核心
2022年第2期89-94,共6页
High Voltage Apparatus
关键词
紫外光谱
组分混合气体
重叠干扰
CS_(2)定量检测
小波处理
ultraviolet spectrum
component gas mixture
overlapping interference
quantitative detection of CS2
wavelet processing