An optimal frequency division control for hybrid energy storage

Wang, A; Huang, P; Zhu, J

An optimal frequency division control for hybrid energy storage

Wang, A Huang, P Zhu, J

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Publication Type:: Conference Proceeding
Citation:: 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:: 2017-10-02

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Field	Value	Language
dc.contributor.author	Wang, A	en_US
dc.contributor.author	Huang, P	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.date.issued	2017-10-02	en_US
dc.identifier.citation	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017	en_US
dc.identifier.isbn	9781538632468	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126151
dc.description.abstract	© 2017 IEEE. In this paper, considering the change rate of the load, a frequency division control is optimized to improve the control accuracy of hybrid energy storage, compared to the traditional frequency division control. Firstly, the optimal control strategy is designed based on the first power allocation and the second power allocation. Secondly, the model is applied in residential area to avoid the peak load through simulation. The simulation results are in agreement with the theoretical analysis, which verifies the correctness of the control strategy.	en_US
dc.relation.ispartof	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017	en_US
dc.relation.isbasedon	10.1109/ICEMS.2017.8056080	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	An optimal frequency division control for hybrid energy storage	en_US
dc.type	Conference Proceeding
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	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. In this paper, considering the change rate of the load, a frequency division control is optimized to improve the control accuracy of hybrid energy storage, compared to the traditional frequency division control. Firstly, the optimal control strategy is designed based on the first power allocation and the second power allocation. Secondly, the model is applied in residential area to avoid the peak load through simulation. The simulation results are in agreement with the theoretical analysis, which verifies the correctness of the control strategy.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126151