Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79609
Title: A novel single-phase reactive current detection algorithm based on fast orthogonal signal generator and enhanced moving average filter
Authors: Xiong, LS 
Liu, XK
Zhu, YX
Xu, Z 
Yang, P
Song, HL
Keywords: Reactive current detection
OSG
Enhanced MAF
Single-phase STATCOM
Issue Date: 2018
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Energies, Apr. 2018, v. 11, no. 4, 733, p. 1-12 How to cite?
Journal: Energies 
Abstract: This paper developed a novel single-phase reactive current detection algorithm based on fast orthogonal signal generator (OSG) and enhanced moving average filter (MAF), overcoming the limitation of conventional schemes in detection speed, computation burden and noise/harmonic immunity. A fast and accurate OSG scheme is introduced first, which can remarkably improve the precision and response speed of the developed detection scheme. In d-q frame, the enhanced MAF is developed and its optimal design principle is also presented, which can sufficiently eliminate the noise and harmonics while achieve the possible shortest response time, particularly in the case of selective harmonics cancellation. Finally, high-performance single-phase STATCOM control is realized utilizing the proposed method. Experiments reveal that the proposed detection scheme exhibits fast speed, high precision as well as noise/harmonics immunity, providing satisfactory control performances.
URI: http://hdl.handle.net/10397/79609
EISSN: 1996-1073
DOI: 10.3390/en11040733
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Xiong, L. S., Liu, X. K., Zhu, Y. X., Xu, Z., Yang, P., & Song, H. L. (2018). A novel single-phase reactive current detection algorithm based on fast orthogonal signal generator and enhanced moving average filter. Energies, 11(4), 733, 1-12 is available at https://dx.doi.org/10.3390/en11040733
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