An accurate detection method for fault voltage traveling wave based on a combination of TSVD regularization and discrete deconvolution

Authors

Zewen LI, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaFollow
Xueshe QIAN, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
Di TANG, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
Lizhi MU, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
Zikang WANG, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
Ming HE, Guilin Power Supply Bureau, Guangxi Power Grid Co., Ltd.,Guilin 541000, China

Keywords

truncated singular value decomposition regularization;singular value decomposition;traveling wave detection;waveform inversion;discrete deconvolution

Abstract

In order to solve the inconsistency of the traveling wave waveforms between primary and secondary sides in the power grid caused by the decay and noise interference in transmission process of the traveling wave sensor, an accurate detection method of fault voltage traveling wave combining the truncated singular value decomposition (TSVD) regularization and discrete deconvolution is proposed. This method adopts the transfer function model based on lumped parameters to construct a forward model of voltage traveling wave sensor, and the principle of deconvolution is used to establish the inversion model of traveling waves. Aiming at the ill conditions generated during the inversion of traveling wave waveforms, a waveform inversion method combined with TSVD regularization theory is proposed to realize the accurate detection of fault voltage traveling wave. The simulation shows that the detection method can realize the accurate inversion of the secondary traveling wave signals, and the waveform characteristics of the primary traveling wave signal obtained by the inversion can reflect the real fault waveform characteristics.

DOI

10.19781/j.issn.1673-9140.2023.04.007

First Page

65

Last Page

74

Recommended Citation

LI, Zewen; QIAN, Xueshe; TANG, Di; MU, Lizhi; WANG, Zikang; and HE, Ming (2023) "An accurate detection method for fault voltage traveling wave based on a combination of TSVD regularization and discrete deconvolution," Journal of Electric Power Science and Technology: Vol. 38: Iss. 4, Article 7.
DOI: 10.19781/j.issn.1673-9140.2023.04.007
Available at: https://jepst.researchcommons.org/journal/vol38/iss4/7