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Investigation on Digital Algorithm for On-line Monitoring and Diagnostics of Metal Oxide Surge Arrester Based on an Accurate Model

机译:基于准确模型的金属氧化物浪涌避雷器在线监测与诊断数字算法研究

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The digital algorithms presently available for on-line monitoring of metal oxide surge arrester (MOA) are normally based on a simplified equivalent model consisting of a capacitor and a non-linear resistor in parallel, which however in applications poses some deficiency compared with experimental results, leading to a certain phase discrepancy between the line voltage and the resistive branch current, due to a capacitive effect in the branch. This paper develops a new digital algorithm based on an accurate model of metal oxide surge arrester, in which base-frequency approximating method and iterating scheme are combined in use. Computer simulations are carried out to validate the new approach, showing the digital algorithm gives an application accuracy of less than 1% even with harmonised power source and different levels of background noises while within 10% of the measured sum leakage current.
机译:目前可用于金属氧化物浪涌避雷器(MOA)在线监测的数字算法通常基于由电容器和并联的非线性电阻组成的简化等效模型,然而,与实验结果相比,在应用中存在一些缺陷,由于分支中的电容效果,导致线电压和电阻分支电流之间的一定相差。本文开发了一种基于金属氧化物电涌避雷器精确模型的新型数字算法,其中基频近似方法和迭代方案在使用中结合。计算机模拟是为了验证新方法,显示数字算法,即使在测量的和漏电流的10%内,也可以提供小于1%的应用精度小于1%。

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