Model predictive power control of dual-stator brushless doubly-fed induction generator with reduced power ripple

Wei, X; Cheng, M; Zhu, J; Yang, H

Model predictive power control of dual-stator brushless doubly-fed induction generator with reduced power ripple

Wei, X Cheng, M Zhu, J

Yang, H

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Power Electronics and Drive Systems, 2018, 2017-December pp. 607 - 612
Issue Date:: 2018-02-09

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Field	Value	Language
dc.contributor.author	Wei, X	en_US
dc.contributor.author	Cheng, M	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Yang, H https://orcid.org/0000-0002-4987-5794	en_US
dc.date.issued	2018-02-09	en_US
dc.identifier.citation	Proceedings of the International Conference on Power Electronics and Drive Systems, 2018, 2017-December pp. 607 - 612	en_US
dc.identifier.isbn	9781509023646	en_US
dc.identifier.issn	2164-5256	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127049
dc.description.abstract	© 2017 IEEE. The dual-stator brushless doubly-fed induction generator (DS-BDFIG), with its low-cost nature, high reliability operation and high torque/power density, shows great potential in variable speed generation applications. This paper explores the power quality improvement for grid-connected operation of the DS-BDFIG. An improved model predictive power control (MPPC) is proposed to reduce power ripple and lower current THD. A zero vector is applied along with an active vector in each control period. The duration of the selected active vector is optimized by power error minimization principle. Besides, the active vector selection and its duration are simultaneously considered in evaluating the cost function to ensure global minimization. The superiority of the proposed MPPC in power ripple reduction has been validated by a series of comparative simulations.	en_US
dc.relation.ispartof	Proceedings of the International Conference on Power Electronics and Drive Systems	en_US
dc.relation.isbasedon	10.1109/PEDS.2017.8289172	en_US
dc.title	Model predictive power control of dual-stator brushless doubly-fed induction generator with reduced power ripple	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-December	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 Elec, Mech and Mechatronic Systems
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.publication-status	Published	en_US
pubs.volume	2017-December	en_US

Abstract:

© 2017 IEEE. The dual-stator brushless doubly-fed induction generator (DS-BDFIG), with its low-cost nature, high reliability operation and high torque/power density, shows great potential in variable speed generation applications. This paper explores the power quality improvement for grid-connected operation of the DS-BDFIG. An improved model predictive power control (MPPC) is proposed to reduce power ripple and lower current THD. A zero vector is applied along with an active vector in each control period. The duration of the selected active vector is optimized by power error minimization principle. Besides, the active vector selection and its duration are simultaneously considered in evaluating the cost function to ensure global minimization. The superiority of the proposed MPPC in power ripple reduction has been validated by a series of comparative simulations.

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http://hdl.handle.net/10453/127049