Model Predictive Power Control of Brushless Doubly-Fed Induction Generator Considering Saturation Effect

Wei, X; Xu, L; Luo, R; Cheng, M; Zhu, J

Model Predictive Power Control of Brushless Doubly-Fed Induction Generator Considering Saturation Effect

Wei, X Xu, L Luo, R Cheng, M Zhu, J

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Publication Type:: Journal Article
Citation:: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36, (17), pp. 3721-3729
Issue Date:: 2021-09-10

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Field	Value	Language
dc.contributor.author	Wei, X
dc.contributor.author	Xu, L
dc.contributor.author	Luo, R
dc.contributor.author	Cheng, M
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.date.accessioned	2022-06-20T01:43:36Z
dc.date.available	2022-06-20T01:43:36Z
dc.date.issued	2021-09-10
dc.identifier.citation	Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36, (17), pp. 3721-3729
dc.identifier.issn	1000-6753
dc.identifier.uri	http://hdl.handle.net/10453/158254
dc.description.abstract	This paper proposes a model predictive power control strategy based on a dynamic model and analysis of the power distribution, considering the effects of magnetic saturation of the brushless doubly-fed induction generator (BDFIG). This strategy can realize accurate power control, so as to assure the quality of control winding current and reduce the switching frequency by estimating the magnetic inductance based on the saturation effect and correcting the inductance parameters input to the controller each period. Simulation and experiments were conducted on the BDFIG control system to identify the factors influencing the saturation effect, and validate the effectiveness of the proposed control strategy.
dc.language	en
dc.relation.ispartof	Diangong Jishu Xuebao/Transactions of China Electrotechnical Society
dc.relation.isbasedon	10.19595/j.cnki.1000-6753.tces.200732
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Model Predictive Power Control of Brushless Doubly-Fed Induction Generator Considering Saturation Effect
dc.type	Journal Article
utslib.citation.volume	36
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/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	in_progress	*
dc.date.updated	2022-06-20T01:43:35Z
pubs.issue	17
pubs.publication-status	Published
pubs.volume	36
utslib.citation.issue	17

Abstract:

This paper proposes a model predictive power control strategy based on a dynamic model and analysis of the power distribution, considering the effects of magnetic saturation of the brushless doubly-fed induction generator (BDFIG). This strategy can realize accurate power control, so as to assure the quality of control winding current and reduce the switching frequency by estimating the magnetic inductance based on the saturation effect and correcting the inductance parameters input to the controller each period. Simulation and experiments were conducted on the BDFIG control system to identify the factors influencing the saturation effect, and validate the effectiveness of the proposed control strategy.

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http://hdl.handle.net/10453/158254