Gou, X., Liu, Z., Liu, W. orcid.org/0000-0003-2968-2888 et al. (2 more authors) (2018) Quaternion-valued single-phase model for three-phase power system. Journal of Electrical Engineering, 69 (2). pp. 183-186. ISSN 1335-3632
Abstract
In this work, a quaternion-valued model is proposed in lieu of the Clarke's α, β transformation to convert three-phase quantities to a hypercomplex single-phase signal. The concatenated signal can be used for harmonic distortion detection in three-phase power systems. In particular, the proposed model maps all the harmonic frequencies into frequencies in the quaternion domain, while the Clarke's transformation-based methods will fail to detect the zero sequence voltages. Based on the quaternion-valued model, the Fourier transform, the minimum variance distortionless response (MVDR) algorithm and the multiple signal classification (MUSIC) algorithm are presented as examples to detect harmonic distortion. Simulations are provided to demonstrate the potentials of this new modeling method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Xiaoming Gou et al, published by Sciendo. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives Licence (http://creativecommons.org/licenses/by-nc-nd/4.0). |
Keywords: | harmonics detection; Fourier transform; minimum variance distortionless response; multiple signal classification; quaternion; three-phase power system |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Jun 2018 13:36 |
Last Modified: | 26 Jun 2018 13:39 |
Published Version: | https://doi.org/10.2478/jee-2018-0023 |
Status: | Published |
Publisher: | Sciendo |
Refereed: | Yes |
Identification Number: | 10.2478/jee-2018-0023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132493 |