电网技术2026，Vol.50Issue(3)：中插117,1330-1339,11.DOI:10.13335/j.1000-3673.pst.2024.1975
考虑场致发射电流自均压作用的串联多真空间隙击穿概率预测方法
Prediction Method of Breakdown Probability for Multiple Vacuum Gaps in Series Considering Self-voltage Sharing Effect of Field Emission Current
摘要
Abstract
Breakdown(BD)voltage of multiple vacuum gaps(VGs)in series shows significant randomness.Accurate prediction of its BD probability distribution is crucial for the quantitative design of the insulation structure in high-voltage vacuum interrupters.This article proposes a prediction method for the BD probability of multiple VGs in series under a lightning impulse voltage(LIV),taking into account the self-voltage sharing effect of the field emission current.The pre-BD characteristics of multiple VGs were quantitatively studied by establishing an equivalent circuit,and the self-voltage sharing effect of field emission current was clarified.Further,the static voltage distribution of multiple VGs was corrected by the obtained field emission influence coefficient,and the distribution under the sharing effect was determined.On these bases,combining with the BD probability Weibull function of each single VG,the prediction of BD probability distribution for multiple VGs was achieved.Validated by experiments,for double and triple sphere-plane VGs,the prediction error of BD probability distribution considering the self-voltage sharing effect was approximately 5％,which was reduced by nearly 15％compared to the method without consideration.The problem that the previous methods seriously underestimated the upper limit of voltage endurance capability for multiple VGs was effectively solved.关键词
串联多真空间隙/击穿概率预测/场致发射电流/自均压/雷电冲击电压Key words
multiple vacuum gaps in series/breakdown probability prediction/field emission current/self-voltage sharing/lightning impulse voltage分类
信息技术与安全科学引用本文复制引用
沈靖宇,马浩东,许志红,耿英三,刘志远,王建华..考虑场致发射电流自均压作用的串联多真空间隙击穿概率预测方法[J].电网技术,2026,50(3):中插117,1330-1339,11.基金项目
国家重点研发计划项目(2022YFB2403700) （2022YFB2403700）
国家自然科学基金项目(52207149,52277136).Project Supported by National Key Research and Development Program of China(2022YFB2403700) （52207149,52277136）
National Natural Science Foundation of China(52207149,52277136). （52207149,52277136）
