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Accurate detection method of traveling wave shape based on EEMD and L1 norm regularization

Authors :
Tao Tang
Xiaohan Li
Xiangjun Zeng
Yu Zhou
Kangjian Yuan
Lanxi Bi
Source :
International Journal of Electrical Power & Energy Systems, Vol 159, Iss , Pp 110008- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Aiming at the problem of waveform distortion of the secondary traveling wave obtained from the primary traveling wave signal transmitted by the voltage traveling wave sensor, an accurate detection method of voltage traveling wave based on ensemble empirical mode decomposition (EEMD) and L1 norm least squares regularization is proposed in this paper. Firstly, the forward transfer function model of the specialized voltage traveling wave sensor is established, and the inversion model is derived to analyze the phase frequency and amplitude frequency characteristics of the secondary traveling wave after transmission. EEMD is used to decompose the secondary traveling wave into the intrinsic modal function (IMF) components of different frequency bands. The L1 norm least square regularization inversion algorithm was used to invert each IMF component. Finally, the IMF' components after inversion are synthesized to obtain the primary traveling wave. Simulation and experimental results demonstrate that the proposed method is not affected by noise, mode aliasing effect and regularization parameter accuracy, and the obtained waveform has high similarity to the simulated waveform, which enables precise identification of fault traveling wave.

Details

Language :
English
ISSN :
01420615
Volume :
159
Issue :
110008-
Database :
Directory of Open Access Journals
Journal :
International Journal of Electrical Power & Energy Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.9d79ed94a324cea99398237bc09cb62
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijepes.2024.110008