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Research on characteristics of acoustic signal of typical partial discharge models

2022-03-23

【论文推荐】国网上海电力纪航等：典型局部放电模型声信号特性研究

文章导读

脉冲电流法、空声超声局放检测、声纹局放检测是电力设备局部放电常用的检测方式。为研究典型放电模型的局放声信号特性，本文以上3种检测方法原理的基础上，搭建针尖模型、沿面模型声学检测实验系统，对不同曲率半径的针尖模型及不同导电膏长度的沿面放电模型进行声学测试。实验结果表明，空声局放检测、声纹局放检测对部分针尖放电模型表现出不同的灵敏性，通过空声局放与声纹局放检测相结合的方法，更有利有电缆局放信号的全面检测。基于声纹识别技术，绘制不同类型局部放电声信号的FFT图，分析不同模式局部放电超声信号频率分布的差异性，针尖放电模型的声纹局放信号频段集中在17~27kHz，不同长度导电膏放电模型的声纹局放信号集中在20~25kHz，现场对电缆进行声纹局放检测时可加强该频段声纹局放信号的测试，现场电缆模型的局部放电检测提供依据。

Research on characteristics of acoustic signal of typical partial discharge models

典型局部放电模型声信号特性研究

Hang Ji¹, Xing Lei¹, Qiang Xu¹, Chengjun Huang², Ting Ye¹, Shangqing Yuan¹

(1.State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, P.R. China 2.Power Monitoring and Diagnostic Technology Ltd., San Jose CA 95119, USA)

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Research on characteristics of acoustic signal of typical p

Abstract

The pulse current method, acoustic and ultrasonic partial discharge (PD) detection, and voiceprint PD detection are commonly used detection methods for the PD detection of power equipment. To study the characteristics of PD signals of typical discharge models based on the principles of the above three detection methods, an acoustic detection experimental system consisting of a needle-tip model and a surface model was built. Acoustic tests were carried out on needle-tip models with different curvature radii and surface discharge models with different lengths of conductive paste. The experimental results showed that acoustic and ultrasonic PD detection and voiceprint PD detection exhibited different sensitivities to the needle-tip discharge models, and the combination of acoustic and ultrasonic PD and voiceprint PD detection was more beneficial for the comprehensive detection of cable PD signals. Based on voiceprint recognition technology, this study drew FFT (Fast Fourier Transformation) diagrams of different types of PD acoustic signals and analyzed the differences in the ultrasonic signal frequency distribution. The frequency band of the voiceprint PD signal of the needle-tip discharge models was concentrated in the range 17–27 kHz, and the frequency band of the voiceprint PD signal of the conductive paste discharge models was concentrated in the range 20–25 kHz. The measurement of voiceprint PD signals in these frequency bands were strengthened when the PD of a cable was detected on-site, which provides the basis for the use of the cable model for on-site PD detection.

Keywords

Needle-tip model, Radius of curvature, Surface model, Discharge capacity, Number of pulses.

Fig.1 Basic principle of the pulse current method

Fig.2 Pulse current test spectrum data

Fig.3 Basic principle of space ultrasonic PD

Fig.4 Acoustic and ultrasonic PD patterns

Fig.5 PD pattern of voiceprint

Fig.6 Schematic diagram of PD detection

Fig.7 Needle-tip discharge model

Fig.8 Needle-tip model discharge waveform

Fig.9 Surface discharge model

Fig.10 Discharge waveforms of surface discharge model

Fig.11 Experimental circuit for PD detection of model defectsDischarge waveforms of surface discharge model

Fig.12 Needle-tip models with different radii of curvature

Fig.13 PD voiceprint test of needle-tip models

Fig.14 Relationship between applied voltage and discharge pulse count of needle-tip models with different radii of curvature

Fig.15 AE diagram of No.2 needle tip with application of 9 kVDischarge waveforms of surface discharge model

Fig.16 Voiceprint PD spectra of needle-tip models with different needle tip radii of curvature

Fig.17 Surface discharge models

Fig.18 Acoustic experiment setup for surface discharge model

Fig.19 Surface discharge model PD signal voiceprint spectra

本文引文信息

Hang Ji, Xing Lei, Qiang Xu, Chengjun Huang,Ye, Shangqing Yuan (2022) Research on characteristics of acoustic signal of typical partial discharge models. Global Energy Interconnection, 5(1):118-130

纪航，雷兴，许强，黄成军，叶頲，袁尚青（2022）典型局部放电模型声信号特性研究. 全球能源互联网（英文），5(1): 118-130

Biographies

Hang Ji

received B.S. degree at North China Electric Power University in 2006. He is working in State Grid Shanghai Municipal Electric Power Company. His research interests include power system automation, equipment management.

Xing Lei

received M.S. degree at North China Electric Power University in 2006, and received Ph.D. degree at Shandong University in 2012. He is working in State Grid Shanghai Municipal Electric Power Company. His research interests include power system automation, equipment maintenance.

Qiang Xu

received bachelor’s degree at North China Electric Power University in 2002. He is working in State Grid Shanghai Municipal Electric Power Company. His research interests include power system automation, equipment maintenance.

Chengjun Huang

received Ph.D. degree at Shanghai Jiaotong University in 2000. He is the chairman of Power Monitoring and Diagnostic Technology Ltd. San Jose, USA. His research interests include partial discharge detection technology, intelligent power equipment, and condition maintenance technology.

Ting Ye

received B.S. degree at Fudan University in 2012. He is working in State Grid Shanghai Municipal Electric Power Company. His research interests include power system automation, equipment maintenance.

Shangqing Yuan

is a graduate student at Shanghai University of Electric Power. His research interests include power system automation, control engineering.

编辑：王彦博

审核：王伟

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Research on characteristics of acoustic signal of typical partial discharge models

【论文推荐】国网上海电力 纪航等：典型局部放电模型声信号特性研究

郑重声明

【论文推荐】国网上海电力纪航等：典型局部放电模型声信号特性研究