PD location and interference suppression method of power cable based on cross-correlation
Abstract
A novel PD identification and location method based on cross-correlation is proposed in paper. The method aims to solve the problem of weak signal identification and interference suppression. Taking advantage of the characteristics that the time axis of PD pulses at both ends of the cable is symmetrical and the interference signal is asymmetric, the cross-correlation computation is carried out through the alignment of reference pulses, so as to suppress the interference effects such as corona. In the calculation of basis PD pulse time difference, the synchronous pulse actively injected is used to shorten the data time window and reduce the influence of noise, and the accurate time difference is extracted through generalized cross-correlation. In this paper, the above methods are verified by simulation and experiment. The analysis results show that the interference can be suppressed and the weak signal recognition ability can be improved through multiple correlation operations, which lays the foundation for accurate PD location.
References
1. Zhang Wei, Zhang Long, Huang Zhiwei, et al. Time domain analysis of partial discharge propagation in cross-linked polyethylene cables considering frequency-dependent parameters. High Voltage Engineering, 2014, 40(11): 3461-3467.
2. LI Junhao, HAN Xutao, LIU Zehui, et al.Review on partial discharge measurement technology of electrical equipment. High Voltage Engineering, 2015, 41(8): 2583-2601.
3. Du Yan,Liao Ruijin,Zhou Quan,etal.Study on time delay estimation algorithm in cable partial discharge location based on wavelet transform.High Voltage Apparatus,2007,10(5): 389-393.
4. Zhang Ruobing, Jin Sen, Du Gang. Method of partial discharge localization for cable under oscillatory wave voltage conditions based on EMD and DTW algorithm. High Voltage Engineering, 2020, 46(1): 273-281.
5. Herold C,Leibfried T,Markalous S,etal.Algorithms for automated arrival time estimation of partial discharge signals in power cables, International Symposium on High Voltage Engineering ,Ljubljana,2007:327-332.
6. Mardiana R,Su C Q.Partial discharge location in power cables using a phase difference method.IEEE Transactions on Dielectrics and Electrical Insulation,2010,17(6):1738-1746.
7. Liu Weidong,Liu Shanghe,Hu Xiaofeng,et al.Aperiodic weak partial discharge source detection based on accumulation of cross correlation estimation information.High Voltage Engineering,2017,43(3):966-972.
8. HOU Huijuan, SHENG Gehao, ZHU Wenjun, et al. Time-delay estimation algorithm of partial discharge ultra high frequency signals based on higher-order cumulant. High Voltage Engineering, 2013, 39(2): 342-347.
9. FU Ling, LIU Hong, LIN Shen, etal Multi-source PD Location Algorithm Considering PD Signal Propagation Characteristics.High Voltage Engineering,2017,43(12):4060-4069.
10. Gao Shuguo,Liu Hechen,Fan Hui,etal.PD location method of power cable based on wavelet transform modulus maxima considering wave characteristics.Power System Technology,2016,40(7):2244-2250.
11. Hu Xiaofeng,Liu Weidong,Wanglei,etal.Time-delay estimation of corona discharge radiation signal based on generalized cross correlation. High Power Laser and Particle Beams,2018,30(1):56-60.
12. Xie Min,Zhou Kai,Zhao Shilin,etal.A new location method of local defects in power cables based on reflection coefficient spectrum .Power System Technology,2017,9(9):3083-3089.
13. WANG Ganjun, LI Jinshu, WU Yijiang, etal. Random Forest Based Feature Selection for Partial Discharge Recognition of HV Cables.Power System Technology,2019,43(4):1329-1335.
14. Tang Ju,Chen Jiao,Zhang Xiaoxing,et al.Time difference algorithm based on energy relevant search of multi-sample applied in PD location.Proceedings of the CSEE,2009,29(19):125-130.
15. HU Yue,SI Liangqi, ZHANG Weidong, etal. Phase synchronization based on independent reference pulse for online UHF PD detection.Electric power automation equipment, 2013, 33(11) 44-49.
16. LEI Liu, LI Zewen, XIA Yixiang, et al.A precise detection method for traveling waves based on adaptive black box inversion. Automation of Electric Power Systems, 2022, 46 (15): 128-135.
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