Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters

Vazquez, S; Marquez, A; Aguilera, R; Quevedo, D; Leon, JI; Franquelo, LG

Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters

Vazquez, S Marquez, A Aguilera, R

Quevedo, D Leon, JI Franquelo, LG

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2015, 62 (4), pp. 2010 - 2020
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Vazquez, S	en_US
dc.contributor.author	Marquez, A	en_US
dc.contributor.author	Aguilera, R https://orcid.org/0000-0003-4166-8341	en_US
dc.contributor.author	Quevedo, D	en_US
dc.contributor.author	Leon, JI	en_US
dc.contributor.author	Franquelo, LG	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2015, 62 (4), pp. 2010 - 2020	en_US
dc.identifier.issn	0278-0046	en_US
dc.identifier.uri	http://hdl.handle.net/10453/97217
dc.description.abstract	© 1982-2012 IEEE. Grid-connected power converters play a key role in several applications such as the integration of renewable energy sources and motor drives. For this reason, the development of high performance control strategies for this particular class of power converters has increasingly attracted the interest of both academic and industry researchers. This paper presents the predictive optimal switching sequence (OSS) direct power control (DPC) (OSS-DPC) algorithm for grid-connected converters. The OSS-DPC method belongs to the predictive-DPC family and provides the desired power references by calculating globally OSSs. To address computational and implementation issues, an efficient control algorithm, named reduced OSS-DPC, is introduced. The implementation of the proposed control strategy in a standard DSP is evaluated on a two-level power converter prototype working as a STATCOM. Experimental results show the algorithm's potential to provide high performance during both transient and steady states.	en_US
dc.relation.ispartof	IEEE Transactions on Industrial Electronics	en_US
dc.relation.isbasedon	10.1109/TIE.2014.2351378	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	62	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 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
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	62	en_US

Abstract:

© 1982-2012 IEEE. Grid-connected power converters play a key role in several applications such as the integration of renewable energy sources and motor drives. For this reason, the development of high performance control strategies for this particular class of power converters has increasingly attracted the interest of both academic and industry researchers. This paper presents the predictive optimal switching sequence (OSS) direct power control (DPC) (OSS-DPC) algorithm for grid-connected converters. The OSS-DPC method belongs to the predictive-DPC family and provides the desired power references by calculating globally OSSs. To address computational and implementation issues, an efficient control algorithm, named reduced OSS-DPC, is introduced. The implementation of the proposed control strategy in a standard DSP is evaluated on a two-level power converter prototype working as a STATCOM. Experimental results show the algorithm's potential to provide high performance during both transient and steady states.

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http://hdl.handle.net/10453/97217