Time-delayed model predictive direct power control for vehicle to grid and grid to vehicle applications

Aghdam, MM; Li, L; Zhu, J; He, T; Zhang, J

Time-delayed model predictive direct power control for vehicle to grid and grid to vehicle applications

Aghdam, MM Li, L

Zhu, J

He, T Zhang, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, 2017-January pp. 4662 - 4667
Issue Date:: 2017-12-15

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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	He, T	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0001-5304-6297	en_US
dc.date.available	2020-05-25T19:14:25Z
dc.date.issued	2017-12-15	en_US
dc.identifier.citation	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, 2017-January pp. 4662 - 4667	en_US
dc.identifier.isbn	9781538611272	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126648
dc.description.abstract	© 2017 IEEE. This paper presents a time-delayed model predictive control for power converters used in vehicle to grid and grid to vehicle systems. Finite-based model predictive control has proven to be an alternate digital control method for power converters. However, there are some real-time implementation issues, including specifically time delay, that have to be addressed in order to achieve the system reliability and stability as well as better performance. The proposed method compensates the delay time arising from measuring, calculating, and applying the optimal control sequence in the digital processor. In this way, the delay time is considered in the system input and optimal switching states are applied to the converter once they are available. The proposed method is studied through two benchmarks and verified numerically via MATLAB/Simulink.	en_US
dc.relation.ispartof	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society	en_US
dc.relation.isbasedon	10.1109/IECON.2017.8216803	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Time-delayed model predictive direct power control for vehicle to grid and grid to vehicle applications	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-January	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
pubs.volume	2017-January	en_US

Abstract:

© 2017 IEEE. This paper presents a time-delayed model predictive control for power converters used in vehicle to grid and grid to vehicle systems. Finite-based model predictive control has proven to be an alternate digital control method for power converters. However, there are some real-time implementation issues, including specifically time delay, that have to be addressed in order to achieve the system reliability and stability as well as better performance. The proposed method compensates the delay time arising from measuring, calculating, and applying the optimal control sequence in the digital processor. In this way, the delay time is considered in the system input and optimal switching states are applied to the converter once they are available. The proposed method is studied through two benchmarks and verified numerically via MATLAB/Simulink.

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http://hdl.handle.net/10453/126648