Novel sizing method of energy storage system considering intermittent usage of EVs in a constrained grid

Irshad, UB; Rafique, S; Hossain, MJ; Mukhopadhyay, SC

Novel sizing method of energy storage system considering intermittent usage of EVs in a constrained grid

Irshad, UB Rafique, S Hossain, MJ Mukhopadhyay, SC

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, 2020, 00, pp. 219-223
Issue Date:: 2020-09-15

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Field	Value	Language
dc.contributor.author	Irshad, UB
dc.contributor.author	Rafique, S
dc.contributor.author	Hossain, MJ
dc.contributor.author	Mukhopadhyay, SC
dc.date	2020-09-15
dc.date.accessioned	2021-02-01T07:03:11Z
dc.date.available	2021-02-01T07:03:11Z
dc.date.issued	2020-09-15
dc.identifier.citation	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, 2020, 00, pp. 219-223
dc.identifier.isbn	9781728166117
dc.identifier.uri	http://hdl.handle.net/10453/145706
dc.description.abstract	© 2020 IEEE. Charging of electric vehicles (EVs) significantly impact the reliability of the power system. A constrained power grid is a feasible solution to maintain the reliability of the power system. However, in a constrained power grid, it is challenging for the parking lot operator to balance the additional load. The fast and high-power density of batteries makes them a conceivable option for this task if adequately sized. A sizing algorithm is proposed to compute the battery capacity for parking lots while considering the intermittent usage of EVs in a constrained grid. Charging profile of EVs is constructed by considering travel pattern, charging need and driver's behaviour of EVs. The proposed sizing algorithm avoided over/under-sizing of the battery energy storage system and fulfilled the EV charging demand in the parking lot. The accuracy of the proposed battery sizing algorithm is shown by simulation results, characterized by real data of household travel survey and parking occupancy data.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
dc.relation.ispartof	2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)
dc.relation.isbasedon	10.1109/SPIES48661.2020.9243046
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Novel sizing method of energy storage system considering intermittent usage of EVs in a constrained grid
dc.type	Conference Proceeding
utslib.citation.volume	00
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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-09-30T00:00:00+1000Z
dc.date.updated	2021-02-01T07:03:07Z
pubs.finish-date	2020-09-18
pubs.publication-status	Published
pubs.start-date	2020-09-15
pubs.volume	00

Abstract:

© 2020 IEEE. Charging of electric vehicles (EVs) significantly impact the reliability of the power system. A constrained power grid is a feasible solution to maintain the reliability of the power system. However, in a constrained power grid, it is challenging for the parking lot operator to balance the additional load. The fast and high-power density of batteries makes them a conceivable option for this task if adequately sized. A sizing algorithm is proposed to compute the battery capacity for parking lots while considering the intermittent usage of EVs in a constrained grid. Charging profile of EVs is constructed by considering travel pattern, charging need and driver's behaviour of EVs. The proposed sizing algorithm avoided over/under-sizing of the battery energy storage system and fulfilled the EV charging demand in the parking lot. The accuracy of the proposed battery sizing algorithm is shown by simulation results, characterized by real data of household travel survey and parking occupancy data.

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http://hdl.handle.net/10453/145706