Academic Journal of Engineering and Technology Science, 2022, 5(3); doi: 10.25236/AJETS.2022.050303.
Tao Zhao, Chenhao Jia
North China Electric Power University (Baoding), Baoding, China
Switchgear plays a vital role in the power system and is an essential part of ensuring the safe and stable operation of the power system. In this paper, a test platform for partial discharge of switchgear is built on the laboratory site. The creeping discharge model used is the creeping discharge of insulators. At the same time, the ultrasonic signal is collected when partial discharge occurs in the switchgear. According to the data obtained by the platform, using the two characteristic parameters of shape and scale, analyze and discuss the ultrasonic partial discharge of the switchgear based on the threshold value, and give the threshold value suggestion of the switchgear in the actual operating state. The recommended values provide relevant suggestions for power grid operation and maintenance, and have certain guiding significance.
Switchgear, Partial Discharge, Ultrasonic Signal, Weibull Distribution
Tao Zhao, Chenhao Jia. Research on Statistical Characteristics of Partial Discharge Ultrasonic Signals in Switchgear. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 3: 13-19. https://doi.org/10.25236/AJETS.2022.050303.
 Wang Jiangwei, High-voltage switchgear operating environment and the development of a comprehensive online monitoring system for partial discharge [D]. North China Electric Power University, 2019
 Yang Tao. Application Analysis of Partial Discharge Live Detection Technology in 10kV Switchgear [J]. Technical Analysis, 2018, 10 (middle); 67-68
 Zhou Ling. Research on partial discharge fault identification algorithm based on ultrasonic signal [D]. South China University of Technology, 2013.
 K. Xu, B. Jia, T. Li, Z. Wang and X. Liu, "Ultrasonic Pattern Recognition and Classification of Partial Discharge of Switchgear Based on Short-time Fourier Transform and Sparse Representation," 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chongqing, China, 2020, pp. 2094-2097, doi: 10.1109/ITNEC48623.2020.9085201.
 Tang Ju, Wang Jing, Li Jian, et al. Application of Weibull distribution in identifying transformer partial discharge [J]. Journal of Chongqing University (Natural Science Edition), 2002, 25(4): 87-90. DOI: 10.3969/j.issn.1000-582X. 2002.04.023.
 Bu Kewei, Tang Jinghong, Mi Chuming, et al. Application of Weibull distribution in GIS partial discharge identification [J]. High Voltage Electrical Appliances, 2009,45(3):81-84,88.
 Li Yanran, Qian Yong, Chen Xiaoxin, et al. Research on Weibull Distribution Characteristics of Cable Partial Discharge [J]. Electrical Automation, 2015, (5): 111-114. DOI: 10.3969/j.issn.1000-3886.2015 .05.036.
 Statistical Technical Committee, IEEE Guide for the Statistical Analysis of Electrical Insulation Breakdown Data[s], IEEE Std930TM-2004
 Montanari GC, Contin A. PD source recognition by Weibull processing of pulse height distributions [J]. IEEE transactions on dielectrics and electrical insulation: A publication of the IEEE Dielectrics and Electrical Insulation Society, 2000, 7(1): 48-58.
 Cacciari M., Contin A.. Use of a mixed-Weibull distribution for the identification of PD phenomena [corrected version] [J]. IEEE transactions on dielectrics and electrical insulation: A publication of the IEEE Dielectrics and Electrical Insulation Society , 1995, 2(6):1166-1179.
 Jacquelin J..Inference of sampling on Weibull parameter estimation[J].IEEE transactions on dielectrics and electrical insulation: A publication of the IEEE Dielectrics and Electrical Insulation Society,1996,3(6):809-816.
 Yan Qian. Application and Research of Partial Discharge Online Monitoring System for High Voltage Switchgear [D]. Beijing: North China Electric Power University, 2016. DOI: 10.7666/d.D01071335.
 Yin Deqiang. Analysis on the internal discharge of 35kV switchgear and research on its transformation [D]. Beijing: North China Electric Power University, 2015. DOI: 10.7666/d.D760108.
 Hu Changmeng, Cheng Lin, Wang Hui, et al. Experimental study on partial discharge detection of transformer bushings with typical defects [J]. Electric Porcelain Arrester, 2021(2): 107-115. DOI: 10.16188/j.isa.1003 -8337.2021.02.017.