A fast-convergent modulation integral observer for online detection of the fundamental and harmonics in grid-connected power electronics systems

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Title: A fast-convergent modulation integral observer for online detection of the fundamental and harmonics in grid-connected power electronics systems
Author(s): Chen, B
Pin, G
Ng, WM
Parisini, T
Hui, SYR
Item Type: Journal Article
Abstract: Harmonics detection is a critical element of active power filters. A previous review has shown that the Recursive Discrete Fourier Transform and the Instantaneous p-q Theory are effective solutions to extracting power harmonics in single-phase and three-phase power systems, respectively. This paper presents the operating principle of a new modulation function integral observer algorithm that offers a fast solution for the extraction of the fundamental current and the total harmonic current when compared with existing methods. The proposed method can be applied to both single- and three-phase systems. The observerbased algorithm has an advantageous feature of being able to be tuned offline for a specific application, having fast convergence and producing estimated fundamental component with high circularity. It has been tested with both simulations and practical measurements for extracting the total harmonic current in a highly efficient manner. The results have confirmed that the proposed tool offers a new and highly effective alternative to the smart grid industry.
Publication Date: 19-May-2016
Date of Acceptance: 6-May-2016
URI: http://hdl.handle.net/10044/1/32748
DOI: https://dx.doi.org/10.1109/TPEL.2016.2570821
ISSN: 1941-0107
Publisher: IEEE
Start Page: 2596
End Page: 2607
Journal / Book Title: IEEE Transactions on Power Electronics
Volume: 32
Issue: 4
Copyright Statement: © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/L014343/1
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Active power filters (APFs)
fundamental extraction
harmonics detection
SLIDING DFT
FILTERS
SYNCHRONIZATION
CONVERTERS
TRENDS
0906 Electrical And Electronic Engineering
Electrical & Electronic Engineering
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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