Research on VFTO Identification of GIS Based on Wavelet Transform and Singular Value Decomposition

Gang Xiao, Quansen Rong, Miaoran Yang, Peng Xiao, Qihong Chen, Junzhe Fan, Haoran Guo and Haonan Wang
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Gang Xiao: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Quansen Rong: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Miaoran Yang: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Peng Xiao: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Qihong Chen: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Junzhe Fan: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Haoran Guo: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Haonan Wang: School of Automation, Wuhan University of Technology, Wuhan 430070, China

Energies, 2022, vol. 15, issue 9, 1-13

Abstract: The accurate identification of Very Fast Transient Overvoltage (VFTO) is the key of overvoltage control in modern smart grids. In order to accurately identify VFTO generated by the operation of a disconnector in Gas Insulated Substation (GIS), a VFTO identification method based on Wavelet Transform (WT) and Singular Value Decomposition (SVD) is proposed. The simulation model of VFTO is established in ATP-EMTP software first, and then wavelet decomposition is used in MATLAB software for VFTO simulation of the waveform from the ATP-EMTP software. Then, the feature matrix is composed of the coefficients of each frequency layer of the wavelet. The SVD is used to decompose the feature matrix, and finally the characteristic parameters of the VFTO are obtained. The simulation results in Matlab software indicate that the characteristic parameters of VFTO have an obvious difference compared with those of power frequency AC voltage, especially in the load-side, which verifies the effectiveness of the VFTO identification method based on WT and SVD proposed in this paper.

Keywords: VFTO; wavelet analysis; singular value; identification; characteristic parameters (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: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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