A Lyapunov Optimization Approach to the Quality of Service for Electric Vehicle Fast Charging Stations

Abbasi, MH; Zhang, J; Krovi, V

A Lyapunov Optimization Approach to the Quality of Service for Electric Vehicle Fast Charging Stations

Abbasi, MH Zhang, J

Krovi, V

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, 2022, 00, pp. 1-6
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Abbasi, MH
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722
dc.contributor.author	Krovi, V
dc.date	2022-11-01
dc.date.accessioned	2023-04-13T04:02:02Z
dc.date.available	2023-04-13T04:02:02Z
dc.date.issued	2022-01-01
dc.identifier.citation	2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, 2022, 00, pp. 1-6
dc.identifier.isbn	9781665475877
dc.identifier.uri	http://hdl.handle.net/10453/169762
dc.description.abstract	In this paper, an optimal power allocation strategy of a fast charging station (FCS) is presented to maximize the quality of service (QoS) of electric vehicle (EV) charging when the charging demand is greater than the available power at the station. In this regard, the problem is formulated in the form of a Lyapunov optimization problem that enables solving the problem online while eliminating the need for future information. The QoS is modeled through Jain's fairness index to account for the charging time increase for each customer due to the power limit. Moreover, each EV's demand is characterized by the amount of charging power. The power is calculated with the help of a second-order equivalent circuit model of the battery pack of the EV. Lastly, the problem is evaluated in a case study.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings
dc.relation.ispartof	2022 IEEE Vehicle Power and Propulsion Conference (VPPC)
dc.relation.isbasedon	10.1109/VPPC55846.2022.10003279
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Lyapunov Optimization Approach to the Quality of Service for Electric Vehicle Fast Charging Stations
dc.type	Conference Proceeding
utslib.citation.volume	00
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
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-13T04:02:01Z
pubs.finish-date	2022-11-04
pubs.publication-status	Published
pubs.start-date	2022-11-01
pubs.volume	00

Abstract:

In this paper, an optimal power allocation strategy of a fast charging station (FCS) is presented to maximize the quality of service (QoS) of electric vehicle (EV) charging when the charging demand is greater than the available power at the station. In this regard, the problem is formulated in the form of a Lyapunov optimization problem that enables solving the problem online while eliminating the need for future information. The QoS is modeled through Jain's fairness index to account for the charging time increase for each customer due to the power limit. Moreover, each EV's demand is characterized by the amount of charging power. The power is calculated with the help of a second-order equivalent circuit model of the battery pack of the EV. Lastly, the problem is evaluated in a case study.

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http://hdl.handle.net/10453/169762