S. Toledo
Fault Tolerant Predictive Control for Six-Phase Wind Generation Systems using Multi-Modular Matrix Converter
Toledo, S.; Caballero, D.; Maqueda, E.; Arrua, S.; Gomez-Redondo, M.; Gregor, R.; Rivera, M.; Wheeler, P.
Authors
D. Caballero
E. Maqueda
S. Arrua
M. Gomez-Redondo
R. Gregor
Professor MARCO RIVERA MARCO.RIVERA@NOTTINGHAM.AC.UK
Professor
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Abstract
Multi-phase wind generation systems are emerging as a promising technology for distributed generation systems. These systems can present unbalanced voltages or phase faults for several reasons. In this paper a modular three-phase direct matrix converter topology is used as conversion stage in a six-phase generation system to supply the desired current to a load. To achieve a reliable performance in the conversion stage, an improved predictive current control is proposed that take advantage of the modularity of the converter to enhance the behavior and to provide the capability to work continuously even under unbalance in the source or during fault operation of the generation system whilst achieving the desired tracking and power quality. The technique is compared against a classical approach to show the benefits of the proposed.
Citation
Toledo, S., Caballero, D., Maqueda, E., Arrua, S., Gomez-Redondo, M., Gregor, R., …Wheeler, P. (2021). Fault Tolerant Predictive Control for Six-Phase Wind Generation Systems using Multi-Modular Matrix Converter. In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/IECON48115.2021.9589702
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | 2021 IECON – 47th Annual Conference of the IEEE Industrial Electronics Society |
Start Date | Oct 13, 2021 |
End Date | Oct 16, 2021 |
Acceptance Date | Oct 13, 2021 |
Online Publication Date | Nov 10, 2021 |
Publication Date | Nov 10, 2021 |
Deposit Date | Jun 14, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Series ISSN | 2577-1647 |
Book Title | IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society |
ISBN | 978-1-6654-0256-9 |
DOI | https://doi.org/10.1109/IECON48115.2021.9589702 |
Public URL | https://nottingham-repository.worktribe.com/output/35447007 |
Publisher URL | https://ieeexplore.ieee.org/document/9589702 |
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