Modified Model Predictive Control for Bidirectional Four-Quadrant EV Chargers with Extended Set of Voltage Vectors

He, T; Zhu, J; Lu, DDC; Zheng, L

Modified Model Predictive Control for Bidirectional Four-Quadrant EV Chargers with Extended Set of Voltage Vectors

He, T

Zhu, J

Lu, DDC

Zheng, L

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Publication Type:: Journal Article
Citation:: IEEE Journal of Emerging and Selected Topics in Power Electronics, 2019, 7 (1), pp. 274 - 281
Issue Date:: 2019-03-01

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Field	Value	Language
dc.contributor.author	He, T https://orcid.org/0000-0002-1381-1692	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Lu, DDC https://orcid.org/0000-0003-2145-0580	en_US
dc.contributor.author	Zheng, L https://orcid.org/0000-0002-7193-7306	en_US
dc.date.accessioned	2020-04-23T07:18:44Z
dc.date.available	2020-04-23T07:18:44Z
dc.date.issued	2019-03-01	en_US
dc.identifier.citation	IEEE Journal of Emerging and Selected Topics in Power Electronics, 2019, 7 (1), pp. 274 - 281	en_US
dc.identifier.issn	2168-6777	en_US
dc.identifier.uri	http://hdl.handle.net/10453/140218
dc.description.abstract	© 2013 IEEE. This paper presents a modified model predictive control (MMPC) for bidirectional power flow control between the electric vehicle (EV) chargers and the main grid. In contrast to the conventional finite control set MPC which selects an optimal switching state from eight possible voltage vectors, the proposed MMPC is based on the application of an optimal voltage vector chosen from an extended set of 20 modulated voltage vectors with a fixed duty ratio. To reduce the computational burden introduced by the increased number of voltage sets, a preselection algorithm is developed for the MMPC method. Six voltage vectors are preselected from the 20 sectors. Due to the increased number of the voltage space vectors, the grid currents and active and reactive power performance can be improved by using the proposed MMPC scheme. Both the conventional and proposed methods are compared through experimental test results of a two-level three-phase off-board EV charger.	en_US
dc.relation.ispartof	IEEE Journal of Emerging and Selected Topics in Power Electronics	en_US
dc.relation.isbasedon	10.1109/JESTPE.2018.2870481	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Modified Model Predictive Control for Bidirectional Four-Quadrant EV Chargers with Extended Set of Voltage Vectors	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	7	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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	7	en_US

Abstract:

© 2013 IEEE. This paper presents a modified model predictive control (MMPC) for bidirectional power flow control between the electric vehicle (EV) chargers and the main grid. In contrast to the conventional finite control set MPC which selects an optimal switching state from eight possible voltage vectors, the proposed MMPC is based on the application of an optimal voltage vector chosen from an extended set of 20 modulated voltage vectors with a fixed duty ratio. To reduce the computational burden introduced by the increased number of voltage sets, a preselection algorithm is developed for the MMPC method. Six voltage vectors are preselected from the 20 sectors. Due to the increased number of the voltage space vectors, the grid currents and active and reactive power performance can be improved by using the proposed MMPC scheme. Both the conventional and proposed methods are compared through experimental test results of a two-level three-phase off-board EV charger.

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http://hdl.handle.net/10453/140218