A logic-based geometrical model for the next day operation of PV-battery systems

Zhong, Q; Khalilpour, R; Vassallo, A; Sun, Y

A logic-based geometrical model for the next day operation of PV-battery systems

Zhong, Q Khalilpour, R Vassallo, A Sun, Y

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Journal of Energy Storage, 2016, 7, pp. 181-194
Issue Date:: 2016-08-01

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Field	Value	Language
dc.contributor.author	Zhong, Q
dc.contributor.author	Khalilpour, R
dc.contributor.author	Vassallo, A
dc.contributor.author	Sun, Y
dc.date.accessioned	2022-08-14T04:03:12Z
dc.date.available	2022-08-14T04:03:12Z
dc.date.issued	2016-08-01
dc.identifier.citation	Journal of Energy Storage, 2016, 7, pp. 181-194
dc.identifier.issn	2352-152X
dc.identifier.issn	2352-152X
dc.identifier.uri	http://hdl.handle.net/10453/160121
dc.description.abstract	This article presents a new control model for the optimal next day management of a PV-battery system using a geometrical analysis method under two electricity tariff schemes. The method is visual, simple and reduces calculation times by determining the control scheme only once a day, using 24-h forecasting of PV output and demand. The optimization goal of this method is to minimize the customer's daily expenditure on electricity from the grid. The cases studied in this work validate the effectiveness of this geometrical method which would be applicable in many countries with different tariff mechanisms. From a comparison of the control model under two tariffs, the results show that under a flat retail tariff (ReT), the battery needs only to store the surplus PV energy for later use, but under a Time-of-Use (ToU) ReT, the battery controller should optimize the battery state of charge according to the level of demand during peak and shoulder times.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Journal of Energy Storage
dc.relation.isbasedon	10.1016/j.est.2016.06.008
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A logic-based geometrical model for the next day operation of PV-battery systems
dc.type	Journal Article
utslib.citation.volume	7
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 Professional Practice and Leadership
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-14T04:03:10Z
pubs.publication-status	Published
pubs.volume	7

Abstract:

This article presents a new control model for the optimal next day management of a PV-battery system using a geometrical analysis method under two electricity tariff schemes. The method is visual, simple and reduces calculation times by determining the control scheme only once a day, using 24-h forecasting of PV output and demand. The optimization goal of this method is to minimize the customer's daily expenditure on electricity from the grid. The cases studied in this work validate the effectiveness of this geometrical method which would be applicable in many countries with different tariff mechanisms. From a comparison of the control model under two tariffs, the results show that under a flat retail tariff (ReT), the battery needs only to store the surplus PV energy for later use, but under a Time-of-Use (ToU) ReT, the battery controller should optimize the battery state of charge according to the level of demand during peak and shoulder times.

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http://hdl.handle.net/10453/160121