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Power harmonic and inter-harmonic detection based on fractional wavelet transform combined with variational modal decomposition algorithm.

作者信息

Dou Jiawei, Yang Xiaoyu, Yang Xiaozhong

机构信息

Institute of Information and Computing, College of Mathematics and Physics, North China Electric Power University, Beijing 102206, China.

State Grid Simulation Center, China Electric Power Research Institute, Beijing 100192, China.

出版信息

Rev Sci Instrum. 2023 Dec 1;94(12). doi: 10.1063/5.0156957.

Abstract

Aiming at the problem of present power harmonic and inter-harmonic detection methods, which are susceptible to noise interference and have low detection accuracy for inter-harmonics, a novel power harmonic and inter-harmonic detection method based on fractional wavelet transform (FRWT) combined with variational mode decomposition (VMD) is proposed. The FRWT-VMD algorithm first preprocesses the signal with FRWT and VMD. Second, the VMD is used to extract harmonics and inter-harmonics. The method incorporates the advantages of the FRWT and VMD methods, corrects the defect that the FRWT method is difficult to detect inter-harmonics, and improves the problem that the VMD method is susceptible to noise interference. Simulation tests on various power harmonic signals have shown that under low signal-to-noise ratio conditions, the FRWT-VMD algorithm can effectively reduce the impact of noise and has high accuracy in harmonic and inter-harmonic detection. It is a powerful method for detecting harmonics and inter-harmonics in power systems.

摘要

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