Jingke Guo, P. Meng, Zheng Liu, Wenhao Lu, Long Zhao, Xiao Lei, Shan Li
{"title":"The Calculation Model for ZnO Varistor Considering Micro-characteristics","authors":"Jingke Guo, P. Meng, Zheng Liu, Wenhao Lu, Long Zhao, Xiao Lei, Shan Li","doi":"10.1109/APL57308.2023.10181782","DOIUrl":null,"url":null,"abstract":"The insulation level of power system is based on the overvoltage protection level of arresters. Zinc oxide(ZnO) varistor is widely used as the core element in power arrester and surge suppressor because of its excellent nonlinear voltage-current(V-I) characteristics and high surge energy absorption capability. Electrical characteristics of ZnO varistor are determined by its complex micro-structure and grain boundary characteristics. In this study, the microstructure model of ZnO varistor is established based on Voronoi model. A large-scale nonlinear resistance network equation for solving the macroscopic electrical properties of ZnO varistors is established by using a grain boundary zoning model considering intergranular bypass effect. Aiming at that it is difficult to solve the large-scale nonlinear resistance network equation by using the conventional Newton iterative method, a fast optimization algorithm based on piecewise linearization and differential reconstruction is proposed. The error index of the calculation result is less than 10$^{-3}$ orders of magnitude. Besides, the effects of microstructure parameters, such as spinel content, nonuniformity of grain size and porosity on the electrical properties of ZnO varistors were obtained by calculation.","PeriodicalId":371726,"journal":{"name":"2023 12th Asia-Pacific International Conference on Lightning (APL)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 12th Asia-Pacific International Conference on Lightning (APL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APL57308.2023.10181782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The insulation level of power system is based on the overvoltage protection level of arresters. Zinc oxide(ZnO) varistor is widely used as the core element in power arrester and surge suppressor because of its excellent nonlinear voltage-current(V-I) characteristics and high surge energy absorption capability. Electrical characteristics of ZnO varistor are determined by its complex micro-structure and grain boundary characteristics. In this study, the microstructure model of ZnO varistor is established based on Voronoi model. A large-scale nonlinear resistance network equation for solving the macroscopic electrical properties of ZnO varistors is established by using a grain boundary zoning model considering intergranular bypass effect. Aiming at that it is difficult to solve the large-scale nonlinear resistance network equation by using the conventional Newton iterative method, a fast optimization algorithm based on piecewise linearization and differential reconstruction is proposed. The error index of the calculation result is less than 10$^{-3}$ orders of magnitude. Besides, the effects of microstructure parameters, such as spinel content, nonuniformity of grain size and porosity on the electrical properties of ZnO varistors were obtained by calculation.