Next Article in Journal
Bio-Based Chemicals from Renewable Biomass for Integrated Biorefineries
Previous Article in Journal
Maximum Sensitivity-Constrained Data-Driven Active Disturbance Rejection Control with Application to Airflow Control in Power Plant
Previous Article in Special Issue
Online Recognition Method for Voltage Sags Based on a Deep Belief Network
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Energies 2019, 12(2), 232; https://doi.org/10.3390/en12020232

Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition

School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
*
Author to whom correspondence should be addressed.
Received: 4 December 2018 / Revised: 8 January 2019 / Accepted: 9 January 2019 / Published: 13 January 2019
(This article belongs to the Special Issue Power Quality: Monitoring, Mitigation, and New Types of Disturbances)
Full-Text   |   PDF [3081 KB, uploaded 13 January 2019]   |  

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. View Full-Text
Keywords: harmonic detection; renewable energy; single-frequency harmonic component; adaptive variational mode decomposition (AVMD); Hilbert transform (HT) harmonic detection; renewable energy; single-frequency harmonic component; adaptive variational mode decomposition (AVMD); Hilbert transform (HT)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Cai, G.; Wang, L.; Yang, D.; Sun, Z.; Wang, B. Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition. Energies 2019, 12, 232.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top