Simulation on Gas-solid Coupling Surface Flashover and Failure Probability Distribution Between Epoxy Resin and SF6

被引：0
作者：
Chen Y. [1 ]
Cai S. [1 ]
Min D. [1 ]
Gao Z. [1 ]
Wu Q. [2 ]
Zhu S. [3 ]
Qin S. [2 ]
机构：
[1] State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Shaanxi Province, Xi’an
[2] Institute of Fluid Physics, China Academy of Engineering Physics, Sichuan Province, Mianyang
[3] State Grid Anhui Electric Power Research Institute, Anhui Provinc, Hefei
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2022年 / 42卷 / 16期
关键词：
failure probability; SF[!sub]6[!/sub; surface charge transport; surface flashover; Weibull distribution;
D O I：
10.13334/j.0258-8013.pcsee.211538
中图分类号：
学科分类号：
摘要：
Gas-solid coupling surface flashover is one of the key causes of power equipment failures; therefore, it is necessary to develop a quantitative simulation model of surface flashover for researching the flashover process and failure probability. Given the processes of triple junction charge emission, solid surface charge transport and gas collision ionization, a surface flashover model based on solid surface charge transport and gas collision ionization was established. Around the progress of electric field distortion, charge transport and gas collision ionization, six characteristic parameters were extracted, including charge injection barrier, electric field enhancement factor, carrier mobility, trap energy level, trap capture probability and gas attachment coefficient. Effects of each characteristic parameter on the failure probability distribution of surface flashover in SF6 were studied. The results show that the flashover voltage obeys Weibull distribution when the characteristic parameter follows Gaussian distribution. With the increase of standard deviation over a plausible range, the surface flashover voltages are basically stable near the experimental value, and the shape parameters gradually decrease due to the greater dispersion. By comparing the characteristic parameters, the failure probability distribution of surface flashover voltage is most dependent on the charge injection barrier and trap energy level. This quantitative simulation model of surface flashover can be used to calculate failure probability, and thus a simulation support for the safe operation and risk assessment of power equipment such as gas-insulated transmission lines. © 2022 Chin.Soc.for Elec.Eng.
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页码：6145 / 6154
页数：9
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