Research on Partial Discharge Location Using Modified Cross-Correlation Method Considering Frequency Characteristic of Phase Velocity

被引：0
|
作者：
Xie M. [1 ]
Zhou K. [1 ]
Zhao S. [1 ]
He M. [2 ]
Zhang F. [1 ]
Zhao W. [3 ]
机构：
[1] School of Electrical Engineering and Information, Sichuan University, Chengdu, 610065, Sichuan Province
[2] Electric Power Research Institute of State Grid Chongqing Electric Power Company, Yubei District, Chongqing
[3] Yunnan Electric Power Grid Co., Ltd., Kunming, 650200, Yunnan Province
来源：
Zhou, Kai (zhoukai_scu@163.com) | 1661年 / Power System Technology Press卷 / 42期
基金：
中国博士后科学基金;
关键词：
Location accuracy; Partial discharge; Phase velocity; Power cable; Time delay estimation;
D O I：
10.13335/j.1000-3673.pst.2017.2390
中图分类号：
学科分类号：
摘要：
Partial discharge (PD) detection for power cables are a useful method in cable diagnosis. Considering low accuracy of traditional time delay estimation methods for PD location, this paper takes frequency characteristic of phase velocity into account to modify phase difference of partial discharge. This method can retain performance of noise rejection of traditional cross-correlation method, but with higher location accuracy. Simulations of different signals for noise ratios (SNR) and PD points were performed with MATLAB software, and then validity of the method was confirmed with experiments performed on a 498 m 10 kV XLPE cable with oscillation wave test system (OWTS). Results show that the method can effectively locate PD sources with high accuracy after modifying phase difference of PD signals with phase velocity, and location results have good robustness under different positions. Meanwhile, the method has low location errors even in low SNR (-5 dB). © 2018, Power System Technology Press. All right reserved.
引用
收藏
页码：1661 / 1667
页数：6
相关论文
共 23 条
  • [1] Jiang Y., Min H., Xia R., Et al., Capacitive coupling detection and characteristic analysis of partial discharge in high-voltage XLPE power cable joints, High Voltage Engineering, 36, 8, pp. 2005-2011, (2010)
  • [2] Hou H., Sheng G., Miao P., Et al., Time-delay estimation algorithm of partial discharge UHF signals in substation based on bispectrum, Proceedings of the CSEE, 33, 19, pp. 208-214, (2013)
  • [3] Gao S., Liu H., Fan H., Et al., PD location method of power cable based on wavelet transform modulus maxima considering wave characteristics, Power System Technology, 40, 7, pp. 2244-2250, (2016)
  • [4] Mugala G., Eriksson R., Pettersson P., Dependence of XLPE insulated power cable wave propagation characteristics on design parameters, IEEE Transactions on Dielectrics and Electrical Insulation, 14, 2, pp. 393-399, (2007)
  • [5] Kreuger F.H., Wezelenburg M.G., Wiemer A.G., Et al., Partial discharge part XVIII: Errors in the location of partial discharges in high voltage solid dielectric cables, IEEE Electrical Insulation Magazine, 9, 6, pp. 15-25, (1993)
  • [6] Du Y., Liao R., Zhou Q., Et al., Study on time delay estimation algorithm in cable partial discharge location based on wavelet transform, High Voltage Apparatus, 43, 5, pp. 389-393, (2007)
  • [7] Tang J., Chen J., Zhang X., Et al., Time difference algorithm based on energy relevant search of multi-sample applied in PD location, Proceedings of the CSEE, 29, 19, pp. 125-130, (2009)
  • [8] Kurz J.H., Grosse C.U., Reinhardt H.W., Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concrete, Ultrasonics, 43, pp. 538-546, (2005)
  • [9] Herold C., Leibfried T., Markalous S., Et al., Algorithms for automated arrival time estimation of partial discharge signals in power cables, International Symposium on High Voltage Engineering, (2007)
  • [10] Liu W., Liu S., Hu X., Et al., Aperiodic weak partial discharge source detection based on accumulation of cross correlation estimation information, High Voltage Engineering, 43, 3, pp. 966-972, (2017)
123