Ultrasonic detection system for gas insulated switchgear partial discharge based on optical fiber transmission

被引:0
作者
Liu Y. [1 ]
Li Y. [2 ]
Huang S. [1 ]
Zhao T. [1 ]
机构
[1] Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding
[2] Wuxi Brach of Jiangsu Electric Power Maintenance Brach Company, Wuxi
来源
Gaodianya Jishu/High Voltage Engineering | 2016年 / 42卷 / 01期
关键词
Digital signal; Gas insulated switchgear; Optical fiber; Partial discharge; Ultrasonic detection method; Virtual instrument;
D O I
10.13336/j.1003-6520.hve.2016.01.024
中图分类号
学科分类号
摘要
In order to detect and analyze the insulation status of gas insulated switchgear (GIS), combing with the optical fiber transmission technology, digital signal processing technology, and ultrasonic detection technology, we designed a GIS partial discharge (PD) ultrasonic detection system based on optical fiber transmission and LabVIEW virtual instrument. The system consists of ultrasonic sensors, remote high-speed acquisition module, local module, and PC software system, and it achieves high-speed and reliable collection of PD signals through optical transmission. The PC software system is developed on the basis of accurate extraction of PD signals, and the communication between PC and PLC adopts the UDP communication protocol. The system can collect and store ultrasonic PD signals, and it can locate faults in real time through analyzing the distribution of the signals in both time domain and frequency domain. We tested the proposed system in a number of substations over China, and the results proved the system to be effective in detecting PDs in GIS. © 2016, High Voltage Engineering Editorial Department of CEPI. All right reserved.
引用
收藏
页码:186 / 191
页数:5
相关论文
共 20 条
[11]  
Ding D., Gao W., Liu W., Insulation defects discrimination in GIS by fisher discriminant analysis of partial discharge, High Voltage Engineering, 39, 4, pp. 805-813, (2013)
[12]  
Irwin T., Lopez-Roldan J., Charlson C., Partial discharge detection of free moving particles in GIS by the UHF method: recognition pattern depending on the particle movement and location, 2000 Power Engineering Society Winter Meeting, pp. 2135-2140, (2000)
[13]  
Lundgaard L.E., Particles in GIS characterization from acoustic signatures, IEEE Transactions on Dielectrics and Electrical Insulation, 8, 6, pp. 1064-1074, (2001)
[14]  
Li D., Shen W., Guo Z., Application comparison between conventional and ultrasonic detection methods for GIS partial discharge, High Voltage Apparatus, 45, 3, pp. 99-103, (2009)
[15]  
Qiu C., Wang N., Partial Discharge and Test Technology of Electrical Device, pp. 26-30, (1994)
[16]  
Chen W., Wang H., Wang Z., Et al., Withstand characteristics analysis of inductive voltage transformer in UHV gas insulated switchgear under very fast transient overvoltage, High Voltage Engineering, 39, 6, pp. 1402-1410, (2013)
[17]  
Liu Y., Lu F., Li C., Et al., Study of the mathematical morphological filter in suppressing periodic narrow bandwidth noise of PD, Proceedings of the CSEE, 24, 3, pp. 174-178, (2004)
[18]  
Yu T., Liu Y., Gao S., Et al., Leakage current monitoring system for iced insulators based on fiber optic transmission, High Voltage Apparatus, 46, 2, pp. 95-98, (2010)
[19]  
Masayuki H., Shinya O., Junichi W., Et al., Study of partial discharge radiated electromagnetic wave propagation characteristics in an actual 154 kV model GIS, IEEE Transactions on Dielectrics and Electrical Insulation, 19, 1, pp. 8-16, (2012)
[20]  
You S., Liu Y., Liu H., Et al., Spectrogram analysis of transformer interior typical discharge based on ultra-high frequency detection, Journal of North China Electric Power University, 35, 2, pp. 18-24, (2008)