Improved Reverse Algorithm of Surface Charge Density Distribution and Electric Field Distribution Based on Electrostatic Probe

被引：0

作者：

Deng J. ^{[1
]}

Wang H. ^{[1
]}

Xue J. ^{[1
]}

Guo B. ^{[1
]}

Wang Y. ^{[1
]}

Zhang G. ^{[1
]}

机构：

[1] State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi Province

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2018年 / 38卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Discrete Fourier transformation; Electric field distribution; Spatial resolution; Surface charge distribution; Wiener filter;

D O I：

10.13334/j.0258-8013.pcsee.162407

中图分类号：

学科分类号：

摘要：

Surface charge accumulation on insulating materials is a major factor that distorts the electrical field and thus reduces the insulation level. Therefore, the phenomenon of surface charge accumulation has drawn more and more attention. In this paper, the relationship between the surface charge density distribution and the output voltage of electrostatic probe was discussed, and an improved algorithm was built to calculate the charge density and electrical field distribution from the output voltage. Two-dimensional Discrete Fourier Transformation (2D-DFT) was used to reduce the amount of calculation by transferring the convolution in spatial domain to multiplication in spatial frequency domain. The algorithm considered the influence of electrostatic probe, and the Wiener filter was employed to reduce the noise. The influence of the meshed size on noise suppression and algorithm's accuracy was studied, and the spatial resolution of this measurement system including the reverse calculation process and the accuracy of algorithm was investigated. The charge density distribution as well as the field distribution was calculated by this improved algorithm, when a lightning impulse voltage was applied to a PMMA plate. The results show that the surface charge density and electric field distribution calculated by this algorithm have a good resolution. The spatial resolution of this measurement system with 1mm gap between the electrostatic probe and the surface of the insulation is 0.3341mm, and the peak-mean square error is only 0.23%. Reduce the size of the meshed unit can effectively suppress the noise and increase the algorithm's accuracy. The improved reverse algorithm has great resolution and accuracy, and can exactly calculate the surface accumulating charge density and electrical field distribution of insulating materials. © 2018 Chin. Soc. for Elec. Eng.

引用

页码：1239 / 1247

页数：8

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