Multi-objective model predictive control of doubly-fed induction generators for wind energy conversion

Hu, J; Li, Y; Zhu, J

Multi-objective model predictive control of doubly-fed induction generators for wind energy conversion

Hu, J Li, Y Zhu, J

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Publisher:: INST ENGINEERING TECHNOLOGY-IET
Publication Type:: Journal Article
Citation:: IET Generation, Transmission and Distribution, 2019, 13, (1), pp. 21-29
Issue Date:: 2019-01-08

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Field	Value	Language
dc.contributor.author	Hu, J
dc.contributor.author	Li, Y
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.date.accessioned	2020-04-29T02:55:49Z
dc.date.available	2020-04-29T02:55:49Z
dc.date.issued	2019-01-08
dc.identifier.citation	IET Generation, Transmission and Distribution, 2019, 13, (1), pp. 21-29
dc.identifier.issn	1751-8687
dc.identifier.issn	1751-8695
dc.identifier.uri	http://hdl.handle.net/10453/140313
dc.description.abstract	© The Institution of Engineering and Technology 2018. As large-scale integration of wind systems into the power grid is on the rise, advanced control techniques for wind power generators are highly desired. This paper proposes a simple but effective control technique for doubly fed induction generators (DFIGs) based on the multi-objective model predictive control (MOMPC) scheme. The future behaviors of the DFIGs are predicted by using the system model and the possible converter switching states. The most appropriate vector is then determined by a cost function. By properly modifying the cost function with active and reactive powers as the control objectives, fast grid synchronisation, smooth grid connection, flexible power regulation and maximum power point tracking (MPPT) can be achieved, respectively. In order to reduce the switching frequency for switching loss reduction, a nonlinear constraint is integrated into the cost function. The controller is simple without using any Proportion Integration (PI) regulators, current loops, and switching tables. A numerical simulation of a 2MW system based on MATLAB/Simulink is built to verify the effectiveness of the proposed method. The results show that the proposed method can achieve quicker transient response, better steady-state performance, and lower switching frequency compared to the conventional switching table based direct power control (DPC).
dc.language	English
dc.publisher	INST ENGINEERING TECHNOLOGY-IET
dc.relation.ispartof	IET Generation, Transmission and Distribution
dc.relation.isbasedon	10.1049/iet-gtd.2018.5172
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	This paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission and Distribution and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.	en_US
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Energy
dc.title	Multi-objective model predictive control of doubly-fed induction generators for wind energy conversion
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0906 Electrical and Electronic Engineering
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-04-29T02:55:42Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	13
utslib.start-page	21
utslib.citation.issue	1

Abstract:

© The Institution of Engineering and Technology 2018. As large-scale integration of wind systems into the power grid is on the rise, advanced control techniques for wind power generators are highly desired. This paper proposes a simple but effective control technique for doubly fed induction generators (DFIGs) based on the multi-objective model predictive control (MOMPC) scheme. The future behaviors of the DFIGs are predicted by using the system model and the possible converter switching states. The most appropriate vector is then determined by a cost function. By properly modifying the cost function with active and reactive powers as the control objectives, fast grid synchronisation, smooth grid connection, flexible power regulation and maximum power point tracking (MPPT) can be achieved, respectively. In order to reduce the switching frequency for switching loss reduction, a nonlinear constraint is integrated into the cost function. The controller is simple without using any Proportion Integration (PI) regulators, current loops, and switching tables. A numerical simulation of a 2MW system based on MATLAB/Simulink is built to verify the effectiveness of the proposed method. The results show that the proposed method can achieve quicker transient response, better steady-state performance, and lower switching frequency compared to the conventional switching table based direct power control (DPC).

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http://hdl.handle.net/10453/140313