State Assessment of GIS Partial Discharge Based on Chemical Analysis Method

Xu Yang, Yi Liu, Yi Jiang, Hao Wen, Jing Zhang, Jia Chen
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Abstract

In order to use SF6 decomposition characteristics to assess the partial discharge (PD) degree of DC gas-insulated switchgear (GIS), the authors studied the PD characteristics of the whole process from the initial discharge to the near breakdown of the free conductive particle defect in DC GIS. $\pmb{q}_{\pmb{v}}, \pmb{n}_{\pmb{v}}$, and $\Delta \pmb{t}_{\pmb{v}}$ are selected as the feature quantities for characterizing the PD state, and the PD severity is divided into three levels. Then, a large number of SF6 decomposition experiments were carried out under three PD level, and the decomposition characteristics of SF6 were obtained. The experimental results show that SF6 decomposition produces include five stable components of CF4, CO2, SO2F2, SOF2 and SO2, among which SOF2 is the most important decomposition product, and the concentration of the remaining four products is close to each other. Finally, it is proposed to use the concentration ratios $\pmb{R}$ (CF4/CO2) and $\pmb{R}$ [SO2F2/(SOF2+SO2)] as characteristic quantities to study the correlation between SF6 decomposition components and PD degree. And based on the C4.5 algorithm, a decision tree for the PD degree assessment is constructed with an accuracy rate of 91.67%.
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基于化学分析法的GIS局部放电状态评价
为了利用SF6分解特性评价直流气体绝缘开关设备的局部放电程度,研究了直流气体绝缘开关设备从初始放电到自由导电颗粒缺陷接近击穿的整个过程的局部放电特性。选取$\pmb{q}_{\pmb{v}}、\pmb{n}_{\pmb{v}}$和$\Delta \pmb{t}_{\pmb{v}}$作为表征PD状态的特征量,将PD的严重程度分为三级。然后,在三种PD水平下进行了大量的SF6分解实验,得到了SF6的分解特性。实验结果表明,SF6分解产物包括CF4、CO2、SO2F2、SOF2和SO2 5种稳定组分,其中SOF2是最重要的分解产物,其余4种产物的浓度相互接近。最后,提出以浓度比$\pmb{R}$ (CF4/CO2)和$\pmb{R}$ [SO2F2/(SOF2+SO2)]作为特征量,研究SF6分解组分与PD度的相关性。并基于C4.5算法构建了PD度评估决策树,准确率为91.67%。
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