Application of Wavelet De-Noising in Fault Detection of MV Switchgear

被引：0

作者：

Liu Z. ^{[1
]}

Ding X. ^{[2
]}

Chen F. ^{[3
]}

Xu S. ^{[1
]}

Dong H. ^{[1
]}

机构：

[1] Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, 650217, Yunnan Province

[2] Yunnan Electric Power Test & Research Institute, Kunming, 650217, Yunnan Province

[3] Institute of Disaster Prevention Science and Technology, Sanhe, 065201, Hebei Province

来源：

Dianwang Jishu/Power System Technology | 2017年 / 41卷 / 09期

关键词：

Arc; De-noise; Fault detection; Switchgear; Wavelet transform;

D O I：

10.13335/j.1000-3673.pst.2016.2554

中图分类号：

学科分类号：

摘要：

In fault detection system for MV switchgear, sensor output signal often contains a lot of noise interference, especially in early stages of fault development. Wavelet transform is a commonly used method for noise reduction. It has a long history of research on partial discharge detection of HV equipment. In this paper, principle of wavelet transform is presented, and its difference with Fourier transform is simply analyzed. Realization method of wavelet de-noising is also presented. A fault test platform of switchgear is built. Simple practical differential electric field sensor is used to measure corona discharge signal along insulator surface, and a commercial high frequency CT is used for comparison. Finally, based on the wavelet de-noising method described in this paper, output signals of two kinds of sensors are de-noised with wavelet, and interference signal above 30MHz within original signal is effectively suppressed with wavelet de-noising. Effect of wavelet de-noising is very significant. © 2017, Power System Technology Press. All right reserved.

引用

页码：3090 / 3094

页数：4

共 17 条

[1]

Liu S., Cao Y., Hou C., Et al., Application of improved gray target theory based assessment on insulation state of solid-insulated ring main unit, Power System Technology, 37, 12, pp. 3577-3583, (2013)

[2]

Li P., Huang D., Ruan J., Et al., Electromagnetic interference on secondary smart devices caused by breaking 10 kV switch cabinet, Power System Technology, 39, 1, pp. 110-117, (2015)

[3]

Liu S., Cao Y., Hou C., Et al., Design of online monitoring system for solid-insulated ring main unit, High Voltage Apparatus, 50, 6, pp. 38-44, (2014)

[4]

Du Y., Gu N., Present situation and accidents analysis of distribution switchgear in domestic power systems, Power System Technology, 26, 2, pp. 70-76, (2002)

[5]

Hu M., Hu Z., Wang X., Et al., Reliability evaluation of distribution network taking switch faults into account based on bidirectional hierarchical structure, Power System Technology, 40, 5, pp. 1476-1481, (2016)

[6]

Pan C., Liu G., Xiong J., Et al., High voltage switchgear insulation accident's analysis and countermeasures, High Voltage Apparatus, 47, 7, pp. 90-93, (2011)

[7]

Kumpulainen L., Hussain G.A., Lehtonen M., Et al., Preemptive arc fault detection techniques in switchgear and controlgear, IEEE Trans on Industrial Application, 49, 4, pp. 1911-1919, (2013)

[8]

Hussain G.A., Kumpulainen L., Kluss J.V., Et al., The smart solution for the prediction of slowly developing electrical faults in MV switchgear using partial discharge measurements, IEEE Trans on Power Delivery, 28, 4, pp. 2309-2316, (2013)

[9]

Zeng X., Jiang J., Hou J., Application of TEV and UHF in PD detection for the live 10 kV switchgear, High Voltage Apparatus, 48, 1, pp. 41-47, (2012)

[10]

Guan Y., Qian J., Practical study of radio frequency signal used in on-line PD monitoring of HV switchboard, High Voltage Apparatus, 37, 5, pp. 1-3, (2001)

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