A High-Resolution Defect Location Method for Medium-Voltage Cables Based on Gaussian Narrow-Band Envelope Signals and the S-Transform

Wei Chen, Zhenbao Yang, Jinyang Song, Lifu Zhou (), Lingchen Xiang, Xing Wang, Changjin Hao and Xianhao Fan
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Wei Chen: Shenzhen Power Supply Bureau Co., Ltd. China Southern Power Grid, Shenzhen 518000, China
Zhenbao Yang: Shenzhen Power Supply Bureau Co., Ltd. China Southern Power Grid, Shenzhen 518000, China
Jinyang Song: Shenzhen Power Supply Bureau Co., Ltd. China Southern Power Grid, Shenzhen 518000, China
Lifu Zhou: Shenzhen Power Supply Bureau Co., Ltd. China Southern Power Grid, Shenzhen 518000, China
Lingchen Xiang: Shenzhen Power Supply Bureau Co., Ltd. China Southern Power Grid, Shenzhen 518000, China
Xing Wang: Shenzhen Power Supply Bureau Co., Ltd. China Southern Power Grid, Shenzhen 518000, China
Changjin Hao: Institute of Energy Sensing and Information, Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610000, China
Xianhao Fan: Department of Electrical Engineerng, Tsinghua University, Beijing 100084, China

Energies, 2024, vol. 17, issue 9, 1-14

Abstract: The time–frequency-domain reflection method (TFDR) based on the Wigner–Ville distribution (WVD) is confronted with the problem of cross-term interference in existing methods to locate power cable defects. Therefore, a new method of locating cable defects based on Gaussian narrow-band envelope signals and the S-transform is proposed in this paper. In this method, the wide-band cable transfer function is obtained by adjusting the parameters of the Gaussian narrow-band envelope signal because the Gaussian narrow-band envelope signal has a good frequency-adjusting ability and time–frequency characteristics. Then, the time–frequency of the cable signal is transformed by the generalized S-transform, and the time delay of the modular matrix of the transformation matrix is estimated by the generalized cross-correlation algorithm to complete the accurate detection of the cable defect’s location. Compared with traditional methods, the proposed method can adaptively adjust the analysis time width according to the frequency change and provide intuitive time–frequency characteristics without cross-term interference. Finally, the effectiveness and practicability of the proposed method are verified in MATLAB 2017_a by simulating a 40 m/10 kV medium-voltage power cable and submarine cable with a length of 32 km.

Keywords: S-transform; medium-voltage cable; time–frequency domain; cross-term (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: 2024
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