Model-predictive control of grid-connected inverters for PV systems with flexible power regulation and switching frequency reduction

Hu, J; Zhu, J; Dorrell, DG

Model-predictive control of grid-connected inverters for PV systems with flexible power regulation and switching frequency reduction

Hu, J

Zhu, J

Dorrell, DG

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Publication Type:: Conference Proceeding
Citation:: 2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013, 2013, pp. 540 - 546
Issue Date:: 2013-12-31

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Field	Value	Language
dc.contributor.author	Hu, J https://orcid.org/0000-0001-6725-4564	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Dorrell, DG https://orcid.org/0000-0001-8060-3386	en_US
dc.date.issued	2013-12-31	en_US
dc.identifier.citation	2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013, 2013, pp. 540 - 546	en_US
dc.identifier.isbn	9781479903351	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27599
dc.description.abstract	This paper presents a model-predictive direct power control (MPDPC) strategy for a grid-connected inverter used in a PV system. Thus is aimed at use in distributed generation. The controller uses a system model to predict the system behavior at each sampling instant. The voltage vector generating least power ripples will then be selected according to a cost function and applied during the next sampling period, thus flexible power regulation can be achieved. In addition, the influences of one-step delay in digital implementation is investigated and compensated using a model based prediction scheme. Furthermore, a switching frequency reduction algorithm is developed by adding a nonlinear constraint to the cost function, which is a significant advantage in higher-power applications. The effectiveness of the proposed MPC strategy was verified numerically by using MATLAB/Simulink, and validated experimentally using a laboratory prototype. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013	en_US
dc.relation.isbasedon	10.1109/ECCE.2013.6646748	en_US
dc.title	Model-predictive control of grid-connected inverters for PV systems with flexible power regulation and switching frequency reduction	en_US
dc.type	Conference Proceeding
utslib.for	090699 Electrical and Electronic Engineering not elsewhere classified	en_US
dc.location.activity	Denver, USA	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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper presents a model-predictive direct power control (MPDPC) strategy for a grid-connected inverter used in a PV system. Thus is aimed at use in distributed generation. The controller uses a system model to predict the system behavior at each sampling instant. The voltage vector generating least power ripples will then be selected according to a cost function and applied during the next sampling period, thus flexible power regulation can be achieved. In addition, the influences of one-step delay in digital implementation is investigated and compensated using a model based prediction scheme. Furthermore, a switching frequency reduction algorithm is developed by adding a nonlinear constraint to the cost function, which is a significant advantage in higher-power applications. The effectiveness of the proposed MPC strategy was verified numerically by using MATLAB/Simulink, and validated experimentally using a laboratory prototype. © 2013 IEEE.

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http://hdl.handle.net/10453/27599