Research on Flashover Voltage Prediction of Catenary Insulator Based on CaSO_(4) Pollution with Different Mass Fraction  

作　　者：Sihua Wang Junjun Wang Lijun Zhou Long Chen Lei Zhao 

机构地区：[1]College of Automation&Electrical Engineering,Lanzhou Jiaotong University,Lanzhou,730070,China [2]Rail Transit Electrical Automation Engineering Laboratory of Gansu Province,Lanzhou Jiaotong University,Lanzhou,730070,China

出　　处：《Energy Engineering》2022年第1期219-236,共18页能源工程（英文）

基　　金：Supported by the National Natural Science Foundation of China(51767014);the Scientific and Technological Research and Development Program of the China Railway(2017J010-C/2017).

摘　　要：Pollution flashover accidents occur frequently in railway OCS in saline-alkali areas.To accurately predict the pollution flashover voltage of insulators,a pollution flashover warning should be made in advance.According to the operating environment of insulators along the Qinghai-Tibet railway,the pollution flashover experiments were designed for the cantilever composite insulator FQBG-25/12.Through the experiments,the flashover voltage under the influence of soluble contaminant density(SCD)of different pollution components,non-soluble deposit density(NSDD),temperature(T),and atmospheric pressure(P)was obtained.On this basis,the GA-BP neural network prediction model was established.P,SCD,NSDD,CaSO_(4) mass fraction(w(CaSO_(4))),and T were taken as input parameters,50%flashover voltage(U_(50%))of the insulator was taken as output parameters.The results showed that the prediction deviation was less than 10%,which meets the basic engineering requirements.The results could not only provide early warning for the anti-pollution flashover work of the railway power supply department,but also be used as an auxiliary contrast to verify the accuracy of the results of the experiments,and provide a theoretical basis for the classification of pollution levels in different regions.

关 键 词：Overhead contact system w(CaSO_(4)) INSULATOR pollution flashover test genetic algorithm-back propagation(GA-BP)neural network flashover voltage prediction 

分 类 号：TM216[一般工业技术—材料科学与工程]