A New Cross-Correlation Algorithm Based on Distance for Improving Localization Accuracy of Partial Discharge in Cables Lines

Xianjie Rao, Kai Zhou, Yuan Li, Guangya Zhu and Pengfei Meng
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Xianjie Rao: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Kai Zhou: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Yuan Li: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Guangya Zhu: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Pengfei Meng: College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Energies, 2020, vol. 13, issue 17, 1-13

Abstract: Locating the partial discharge (PD) source is one of the most effective means to locate local defects in power cable lines. The sampling rate and the frequency-dependent characteristic of phase velocity have an obvious influence on localization accuracy based on the times of arrival (TOA) evaluation algorithm. In this paper, we present a cross-correlation algorithm based on propagation distance to locate the PD source in cable lines. First, we introduce the basic principle of the cross-correlation function of propagation distance. Then we verify the proposed method through a computer simulation model and investigate the influences of propagation distance, sampling rate, and noise on localization accuracy. Finally, we perform PD location experiments on two 250 m 10 kV XLPE power cables using the oscillation wave test system. The simulation and experiment results indicate that compared with traditional TOA evaluation methods, the proposed method has superior locating precision.

Keywords: power cable; partial discharge location; cross-correlation function; localization accuracy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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