Mixed integer nonlinear programming for joint coordination of plug-in electrical vehicles charging and smart grid operations

Shi, Y; Tuan, HD; Savkin, AV

Mixed integer nonlinear programming for joint coordination of plug-in electrical vehicles charging and smart grid operations

Shi, Y

Tuan, HD

Savkin, AV

Permalink

Publication Type:: Conference Proceeding
Citation:: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019, 2019
Issue Date:: 2019-10-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 25 Nov 2021

Adobe PDF

Download Accepted Manuscript versionAdobe PDF (207.21 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Shi, Y https://orcid.org/0000-0003-2302-4980	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Savkin, AV	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019, 2019	en_US
dc.identifier.isbn	9781538680995	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138630
dc.description.abstract	© 2019 IEEE. The joint coordination of plug-in electric vehicles(PEVs) charging and grid power control is to minimize both PEVs' charging cost and energy generation cost in meeting both PEVs' power demands and power grid operational constraints. A bang-bang PEV charging strategy is adopted to exploit its simple online implementation, which requires computation of a mixed integer nonlinear programming problem (MINP) in binary variables of the PEV charging and continuous variables of the grid voltages. A novel solver for this challenging MINP is proposed. Its efficiency is shown by numerical simulations.	en_US
dc.relation.ispartof	2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019	en_US
dc.relation.isbasedon	10.1109/SmartGridComm.2019.8909799	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Mixed integer nonlinear programming for joint coordination of plug-in electrical vehicles charging and smart grid operations	en_US
dc.type	Conference Proceeding
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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-11-25T00:00:00+1100
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. The joint coordination of plug-in electric vehicles(PEVs) charging and grid power control is to minimize both PEVs' charging cost and energy generation cost in meeting both PEVs' power demands and power grid operational constraints. A bang-bang PEV charging strategy is adopted to exploit its simple online implementation, which requires computation of a mixed integer nonlinear programming problem (MINP) in binary variables of the PEV charging and continuous variables of the grid voltages. A novel solver for this challenging MINP is proposed. Its efficiency is shown by numerical simulations.

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

http://hdl.handle.net/10453/138630