Modelling of Low-Voltage Varistors’ Responses under Slow-Front Overvoltages

L. Muremi, P. Bokoro, W. Doorsamy
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Abstract

In this study, commercially low-voltage MOVs are exposed to switching surges to analyse and model the relationship between the number of surges and the MOV grain barrier height response. Repeated slow-front overvoltage transients are used to degrade the protective qualities of metal oxide surge arrester devices, affecting their reliability and stability. A total of 360 MOVs with similar specifications from three different manufacturers are degraded under switching surges at a constant temperature of 60 °C. The reference voltage and C-V characteristics of MOVs are measured before and after the degradation process to analyse the MOVs’ conditions. Grain barrier heights are determined from the C-V characteristics curve. An F-statistical analysis is then applied to analyse the effects of number of surges on the grain barrier height. The T-test is used to assess the statistical difference between the tested groups. Linear regression analysis is then applied to model the relationship between the number of surges and MOV grain barrier height. The results obtained show that the number of surges has a significant impact on grain barrier height. MOV grain barrier height is found to decrease as the number of surges applied increases. Regression models obtained for the tested MOV groups across all three manufacturers agree and indicate that the reduction in grain barrier height results from an increased number of surges. Regression coefficients of a developed model indicate that for one surge applied, the MOV grain barrier height decreases by 0.024, 0.055, and 0.033 eV/cm for manufacturers X, Y, and Z, respectively. Therefore, there is a linear relationship between grain barrier height and the number of applied switching surges.
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慢前过电压下低压压敏电阻响应的建模
在本研究中,将商用低压MOV暴露于开关浪涌中,分析浪涌数量与MOV晶粒势垒高度响应之间的关系并建立模型。重复的慢前过电压瞬变会降低金属氧化物避雷器的保护质量,影响避雷器的可靠性和稳定性。在60°C的恒温开关浪涌下,来自三家不同制造商的360个类似规格的MOVs被降解。在退化过程前后测量了MOVs的基准电压和C-V特性,分析了MOVs的状态。根据C-V特性曲线确定颗粒势垒高度。然后应用f统计分析来分析浪涌数对颗粒势垒高度的影响。t检验用于评估被测组之间的统计差异。利用线性回归分析建立了浪涌数与MOV颗粒势垒高度之间的关系模型。结果表明,浪涌数对颗粒势垒高度有显著影响。MOV晶粒势垒高度随着浪涌次数的增加而降低。对所有三家制造商测试的MOV组获得的回归模型一致,并表明颗粒屏障高度的降低是由于浪涌数量的增加。模型的回归系数表明,当施加一个浪涌时,制造商X、Y和Z的MOV颗粒屏障高度分别降低0.024、0.055和0.033 eV/cm。因此,颗粒势垒高度与施加的开关浪涌数量之间存在线性关系。
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