摘要
气体绝缘变电站(gas insulated substation,GIS)故障统计分析表明:GIS故障以内绝缘为主且具有潜伏性特征。为分析潜伏性故障对GIS造成的危害,选取电场劣化率为衡量指标,建立GIS内绝缘电场劣化计算模型,分析了金属尖端、金属颗粒、绝缘子气隙几种典型潜伏性故障的电场劣化特性。在此基础上,采用相关分析法定量分析了潜伏性故障对内绝缘的危害程度,结果表明金属尖端对内绝缘危害最大,绝缘子气隙次之,金属颗粒最小。对工程应用而言更关心故障潜在发生的概率,为此采用中心极限定理对危害最大的金属尖端进行了故障概率估算,结果表明尖端故障概率高达20.33%,潜在危害巨大,必须采取措施对其进行严格限制。为此给出了限制潜伏性故障的措施。综上,论文的研究为揭示潜伏者故障特征与危害,限制其发展提供有益参考。
Statistical analysis of GIS faults shows that GIS faults are mainly internal insulation faults and have latent characteristics.In order to analyze the damages caused by latent faults to the GIS,taking the electric field degradation rate is selected as a measure,a calculation model of electric field degradation of the GIS insulation is established,and the electric field characteristics under the typical latent fault conditions including metal tips,metal particles and insulator air gaps are analyzed.On this basis,the correlation analysis method is used to quantitatively analyze the damage degree of the latent faults to the internal insulation.The results show that the metal tip is the most harmful to the internal insulation,followed by the air gap of the insulator,and the metal particles are the smallest harmful.For engineering applications,the probability of latent faults is more concerned.For this reason,the central limit theorem is used to estimate the probability of failures by the metal tips.The results show that the probability of tip failure is as high as 20.33%,which means the potential damage is huge,hence measures must be taken to prevent it.For this reason,the measures to limit the latent faults are given.In conclusion,the research provides a useful reference for revealing the fault characteristics and hazards of latent faults and limiting their extension.
作者
吴细秀
冷宇宽
庞文龙
吴士普
侯慧
李黎
WU Xixiu;LENG Yukuan;PANG Wenlong;WU Shipu;HOU Hui;LI Li(School of Automation,Wuhan University of Technology,Wuhan 430070,Hubei Province,China;State Key Laboratory of Power Grid Environment Protection(China Electrical Power Research Institute),Wuhan 430074,Hubei Province,China;School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,Hubei Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2023年第7期3018-3028,共11页
Power System Technology
基金
电网环境保护国家重点实验室开放基金资助项目(GYW51201901085)。
关键词
GIS
潜伏性故障
电场劣化
相关分析
故障概率估算
GIS
latent fault
electric field degradation
correlation analysis
fault probability estimation
