Wind Speed Noise Reduction in Wind Farm Based on Variational Mode Decomposition

doi:10.16182/j.issn1004731x.joss.17-0056

Abstract

Abstract: Wind power forecast is based on the existing data, and the wind speed data in wind power are mixed with different types of noise. In order to improve the precision of prediction, noise reduction is needed. However, the traditional empirical mode decomposition noise reduction method has the phenomenon of mode mixing. To improve the effect of the noise reduction, a kind of noise reduction method based on variational mode decomposition is proposed. The variational mode decomposition is a new method which has good noise immunity and no mode mixing. To thoroughly research the application of variational mode decomposition in noise reduction, the wind speed data of a wind farm is used. The signals are decomposed and reconstructed through the variational mode decomposition so as to filter out the noise. The results are compared with the EMD for verifying the validity of the method.

Key words: variational mode decomposition, mode mixing, EMD, noise reduction

CLC Number:

TK81

Xu Xinghua, Pan Tinglong, Wu Dinghui. Wind Speed Noise Reduction in Wind Farm Based on Variational Mode Decomposition[J]. Journal of System Simulation, 2019, 31(1): 87-93.

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