Modelling dynamic demand response for plug-in hybrid electric vehicles based on real-time charging pricing

Lu, Z; Qi, J; Zhang, J; He, L; Zhao, H

Modelling dynamic demand response for plug-in hybrid electric vehicles based on real-time charging pricing

Lu, Z Qi, J Zhang, J

He, L Zhao, H

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Publication Type:: Journal Article
Citation:: IET Generation, Transmission and Distribution, 2017, 11 (1), pp. 228 - 235
Issue Date:: 2017-01-05

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Field	Value	Language
dc.contributor.author	Lu, Z	en_US
dc.contributor.author	Qi, J	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722	en_US
dc.contributor.author	He, L	en_US
dc.contributor.author	Zhao, H	en_US
dc.date.issued	2017-01-05	en_US
dc.identifier.citation	IET Generation, Transmission and Distribution, 2017, 11 (1), pp. 228 - 235	en_US
dc.identifier.issn	1751-8687	en_US
dc.identifier.uri	http://hdl.handle.net/10453/62201
dc.description.abstract	© The Institution of Engineering and Technology. Based on the benefits of real-time pricing both to individual users and the society as a whole, this study introduces a real-time charging price (RTCP) mechanism supported by an intelligent charging management module into plug-in hybrid electric vehicles (PHEVs) charging environment. The optimal RTCP is executed by a distributed algorithm using a utility model to maximise the whole charging system welfare. The willingness-to-charge parameter is derived to reflect the charging preferences of PHEV users and their different responses to the RTCP. Several scenarios are established to discuss the effect of both the RTCP and willingness-to-charge on charging load. The simulation results show that reasonable charging will be realised based on the optimal RTCP mechanism.	en_US
dc.relation.ispartof	IET Generation, Transmission and Distribution	en_US
dc.relation.isbasedon	10.1049/iet-gtd.2016.0882	en_US
dc.subject.classification	Energy	en_US
dc.title	Modelling dynamic demand response for plug-in hybrid electric vehicles based on real-time charging pricing	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	11	en_US
utslib.for	090607 Power and Energy Systems Engineering (excl. Renewable Power)	en_US
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
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	11	en_US

Abstract:

© The Institution of Engineering and Technology. Based on the benefits of real-time pricing both to individual users and the society as a whole, this study introduces a real-time charging price (RTCP) mechanism supported by an intelligent charging management module into plug-in hybrid electric vehicles (PHEVs) charging environment. The optimal RTCP is executed by a distributed algorithm using a utility model to maximise the whole charging system welfare. The willingness-to-charge parameter is derived to reflect the charging preferences of PHEV users and their different responses to the RTCP. Several scenarios are established to discuss the effect of both the RTCP and willingness-to-charge on charging load. The simulation results show that reasonable charging will be realised based on the optimal RTCP mechanism.

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http://hdl.handle.net/10453/62201