A model predictive control of parallel inverters for distributed generations in microgrids

Aghdam, MM; Li, L; Zhu, J

A model predictive control of parallel inverters for distributed generations in microgrids

Aghdam, MM Li, L

Zhu, J

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE International Conference on Power System Technology, POWERCON 2016, 2016
Issue Date:: 2016-11-22

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Field	Value	Language
dc.contributor.author	Aghdam, MM	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.available	2020-05-25T19:14:18Z
dc.date.issued	2016-11-22	en_US
dc.identifier.citation	2016 IEEE International Conference on Power System Technology, POWERCON 2016, 2016	en_US
dc.identifier.isbn	9781467388481	en_US
dc.identifier.uri	http://hdl.handle.net/10453/53482
dc.description.abstract	© 2016 IEEE. Nowadays, microgrid concept has been counted as an effective approach to incorporating distributed renewable resources in distribution networks. Though, the power flow control to share the loads among distributed generations is still an essential focus, specifically under peak demands. This paper focuses on a predictive power flow control method for parallel inverters of distributed generations in microgrids. The microgrid under this case study will operate in the grid-Tied mode with appropriate power sharing capability among parallel distributed generations and the main grid. In comparison to the conventional voltage and frequency droop control, the proposed model predictive control approach has shown the better performance, which is verified by the Matlab/Simulink simulation.	en_US
dc.relation.ispartof	2016 IEEE International Conference on Power System Technology, POWERCON 2016	en_US
dc.relation.isbasedon	10.1109/POWERCON.2016.7754035	en_US
dc.title	A model predictive control of parallel inverters for distributed generations in microgrids	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Nowadays, microgrid concept has been counted as an effective approach to incorporating distributed renewable resources in distribution networks. Though, the power flow control to share the loads among distributed generations is still an essential focus, specifically under peak demands. This paper focuses on a predictive power flow control method for parallel inverters of distributed generations in microgrids. The microgrid under this case study will operate in the grid-Tied mode with appropriate power sharing capability among parallel distributed generations and the main grid. In comparison to the conventional voltage and frequency droop control, the proposed model predictive control approach has shown the better performance, which is verified by the Matlab/Simulink simulation.

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http://hdl.handle.net/10453/53482