Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition

Guowei Cai, Lixin Wang, Deyou Yang, Zhenglong Sun and Bo Wang
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Guowei Cai: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Lixin Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Deyou Yang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Zhenglong Sun: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Bo Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Energies, 2019, vol. 12, issue 2, 1-16

Abstract: The harmonic pollution problem in power grids has become increasingly prominent with the large-scale application of power electronic equipment, nonlinear loads, and renewable energy. This study proposes a method based on adaptive variational mode decomposition (AVMD) and Hilbert transform (HT) that is applicable to harmonic detection in power system. The AVMD method constructs and solves the constrained variational model. Then, a single-frequency harmonic component with stable features can be obtained. The proposed method can effectively avoid the recursive process in empirical mode decomposition (EMD). In this study, the variational mode decomposition algorithm is used to obtain the periodic harmonic components concurrently. Subsequently, the characteristic parameters of each harmonic component are extracted via HT. Simulation analysis and measured data verify the validity and feasibility of the proposed algorithm. Compared with the detection results obtained using the EMD algorithm, the proposed method is proven to exhibit stronger applicability to harmonic detection in power system.

Keywords: harmonic detection; renewable energy; single-frequency harmonic component; adaptive variational mode decomposition (AVMD); Hilbert transform (HT) (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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