赵科, 李玉杰, 杨景刚, 李洪涛, 肖焓艳. 电晕放电下的SF6气体特征发射光谱与放电程度识别[J]. 山东电力技术, 2023, 50(8): 27-34. DOI: 10.20097/j.cnki.issn1007-9904.2023.08.004
引用本文: 赵科, 李玉杰, 杨景刚, 李洪涛, 肖焓艳. 电晕放电下的SF6气体特征发射光谱与放电程度识别[J]. 山东电力技术, 2023, 50(8): 27-34. DOI: 10.20097/j.cnki.issn1007-9904.2023.08.004
ZHAO Ke, LI Yu-jie, YANG Jing-gang, LI Hong-tao, XIAO Han-yan. Characteristic Emission Spectrum and Discharge Degree Identification of SF6 Under Corona Discharge[J]. Shandong Electric Power, 2023, 50(8): 27-34. DOI: 10.20097/j.cnki.issn1007-9904.2023.08.004
Citation: ZHAO Ke, LI Yu-jie, YANG Jing-gang, LI Hong-tao, XIAO Han-yan. Characteristic Emission Spectrum and Discharge Degree Identification of SF6 Under Corona Discharge[J]. Shandong Electric Power, 2023, 50(8): 27-34. DOI: 10.20097/j.cnki.issn1007-9904.2023.08.004

电晕放电下的SF6气体特征发射光谱与放电程度识别

Characteristic Emission Spectrum and Discharge Degree Identification of SF6 Under Corona Discharge

  • 摘要: 电晕放电是局部放电的典型形式,长时间电晕放电会引起电气设备的绝缘老化,甚至导致设备在正常运行电压下发生击穿。SF6气体的强电负性致使低电压或高气压放电条件下的光谱信号极其微弱,为此,提出一种特征谱带光信号增强的方式,选取可表征局部放电SF6气体特征光谱,采用窄带滤光片+光电倍增管的方式,增强特征谱段的光信号,以提高信噪比。首先,模拟黄铜、不锈钢、铝等不同电极材料下的针-板电晕放电,结合SF6气体的电离分解机理,分析表征电晕放电的激发辐射的粒子特征谱带及其成因。其次,根据特征谱带选取窄带滤光片、光电倍增管、透镜等光学器件并搭建光脉冲信号检测平台,增强特征谱段的光信号响应。最后,在对比分析不同放电阶段光信号特点的基础上,提出识别放电严重程度的指标及阈值,并通过高气压电晕放电实验进行有效性验证。本文可为SF6气体绝缘电气设备的局部放电检测及识别提供参考。

     

    Abstract: Corona discharge is one of typical partial discharge defects. Long-term corona discharge will cause insulation aging of electrical equipment,and even lead to breakdown of equipment under normal operating voltage. The strong electronegativity of SF6 gas results in extremely weak spectral signals under low-voltage or high-pressure discharge conditions. Therefore,a method for enhancing the characteristic optical signal is proposed. In this method,according to the characteristic emission spectra of SF6 under corona discharge,the narrow-band filter and a photomultiplier tube are used to enhance optical signal,so as to increase the signal-to-noise ratio(S/N). First,a series of needle-plate corona discharge experiments with different electrode materials such as brass,stainless steel,and aluminum are carried out,and the characteristic spectral band and genesis of the excited radiation particla during the discharge process is analyzed,combined with the mechanism of SF6 gas ionizing. Then,optical devices such as narrow-band filter,photomultiplier tube,and lenses are selected according to the characteristic spectral band,and an optical pulse signal detection platform is built,so as to enhance the characteristic optical signal. Finally,according to the characteristics of the optical signal during corona discharge,indicators and thresholds for identifying the discharge degree are proposed. Corona discharge experiments under high pressures verify the proposed indicators. A reference is provided in this paper for the detection and identification of partial discharge in SF6 gas-insulated electrical equipment.

     

/

返回文章
返回