Finite control set model predictive control-a powerful control algorithm for grid-connected power converters

Aghdam, MM; Li, L; Zhu, J; Palizban, O

Finite control set model predictive control-a powerful control algorithm for grid-connected power converters

Aghdam, MM Li, L

Zhu, J

Palizban, O

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, 2016, pp. 2350 - 2355
Issue Date:: 2016-10-19

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Field	Value	Language
dc.contributor.author	Aghdam, MM	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Palizban, O	en_US
dc.date.available	2016-02-28	en_US
dc.date.issued	2016-10-19	en_US
dc.identifier.citation	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, 2016, pp. 2350 - 2355	en_US
dc.identifier.isbn	9781509026050	en_US
dc.identifier.uri	http://hdl.handle.net/10453/53480
dc.description.abstract	© 2016 IEEE. This paper presents a detailed description of Finite Control Set Model Predictive Control applied to power converters. Some key features related to this methodology are presented and compared with model predictive control based space vector modulation methods. The basic models, principles, control diagrams, and simulation results are presented to provide a comparison between them. The analysis is performed on a three-phase/ two-level voltage source inverter, which is one of the most common converter topologies used in industry. Among the conclusions are the feasibility and great potential of Finite Control Set Model Predictive Control due to the advanced signal-processing capability, particularly for power systems with a reduced number of switching states and more complicated principles.	en_US
dc.relation.ispartof	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016	en_US
dc.relation.isbasedon	10.1109/ICIEA.2016.7603985	en_US
dc.title	Finite control set model predictive control-a powerful control algorithm for grid-connected power converters	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. This paper presents a detailed description of Finite Control Set Model Predictive Control applied to power converters. Some key features related to this methodology are presented and compared with model predictive control based space vector modulation methods. The basic models, principles, control diagrams, and simulation results are presented to provide a comparison between them. The analysis is performed on a three-phase/ two-level voltage source inverter, which is one of the most common converter topologies used in industry. Among the conclusions are the feasibility and great potential of Finite Control Set Model Predictive Control due to the advanced signal-processing capability, particularly for power systems with a reduced number of switching states and more complicated principles.

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http://hdl.handle.net/10453/53480