Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto

Awadallah, MA; Singh, BN; Venkatesh, B

Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto

Awadallah, MA Singh, BN Venkatesh, B

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: Canadian Journal of Electrical and Computer Engineering, 2016, 39, (4), pp. 268-273
Issue Date:: 2016-09-01

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Field	Value	Language
dc.contributor.author	Awadallah, MA
dc.contributor.author	Singh, BN
dc.contributor.author	Venkatesh, B
dc.date.accessioned	2022-08-18T22:54:30Z
dc.date.available	2022-08-18T22:54:30Z
dc.date.issued	2016-09-01
dc.identifier.citation	Canadian Journal of Electrical and Computer Engineering, 2016, 39, (4), pp. 268-273
dc.identifier.issn	0840-8688
dc.identifier.uri	http://hdl.handle.net/10453/160467
dc.description.abstract	This paper presents a study of the impact of the electric vehicle (EV) charger load on the capacity of distribution feeders and transformers of an urban utility. A residential neighborhood of the city of Toronto, Canada, is selected to perform the study based on survey results that showed a high tendency for EV adoption. The two most loaded distribution transformers of such a neighborhood are studied along with their cable feeders via steady-state simulations in CYME software. A worst case scenario of full EV penetration is studied, where all chargers are connected to the system simultaneously at the peak summer or winter load. The effect of increasing the rate of EV adoption on the performance of distribution networks is examined with correlation to the ambient temperature. Finally, the impact of increasing the charger size on system performance is explored. The results send a few warning signals of potential equipment overload to utility companies under certain system loading and EV charging levels as EV use grows, impacting utility future planning and operation. This will assist utilities in taking appropriate measures with respect to operating the existing system and also planning for the future.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	Canadian Journal of Electrical and Computer Engineering
dc.relation.isbasedon	10.1109/CJECE.2016.2545925
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications
dc.title	Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto
dc.type	Journal Article
utslib.citation.volume	39
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 Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-18T22:54:29Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	39
utslib.citation.issue	4

Abstract:

This paper presents a study of the impact of the electric vehicle (EV) charger load on the capacity of distribution feeders and transformers of an urban utility. A residential neighborhood of the city of Toronto, Canada, is selected to perform the study based on survey results that showed a high tendency for EV adoption. The two most loaded distribution transformers of such a neighborhood are studied along with their cable feeders via steady-state simulations in CYME software. A worst case scenario of full EV penetration is studied, where all chargers are connected to the system simultaneously at the peak summer or winter load. The effect of increasing the rate of EV adoption on the performance of distribution networks is examined with correlation to the ambient temperature. Finally, the impact of increasing the charger size on system performance is explored. The results send a few warning signals of potential equipment overload to utility companies under certain system loading and EV charging levels as EV use grows, impacting utility future planning and operation. This will assist utilities in taking appropriate measures with respect to operating the existing system and also planning for the future.

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

http://hdl.handle.net/10453/160467