Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid

Shi, Y; Tuan, HD; Savkin, AV; Lin, C-T; Zhu, JG; Poor, HV

Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid

Shi, Y

Tuan, HD Savkin, AV Lin, C-T Zhu, JG Poor, HV

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Applied Energy, 2021, 290, pp. 116701-116701
Issue Date:: 2021-05

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Full metadata record

Field	Value	Language
dc.contributor.author	Shi, Y https://orcid.org/0000-0003-2302-4980
dc.contributor.author	Tuan, HD
dc.contributor.author	Savkin, AV
dc.contributor.author	Lin, C-T
dc.contributor.author	Zhu, JG
dc.contributor.author	Poor, HV
dc.date.accessioned	2021-04-21T03:00:52Z
dc.date.available	2021-04-21T03:00:52Z
dc.date.issued	2021-05
dc.identifier.citation	Applied Energy, 2021, 290, pp. 116701-116701
dc.identifier.issn	0306-2619
dc.identifier.uri	http://hdl.handle.net/10453/148224
dc.language	en
dc.publisher	Elsevier BV
dc.relation	http://purl.org/au-research/grants/arc/DP190102501
dc.relation.ispartof	Applied Energy
dc.relation.isbasedon	10.1016/j.apenergy.2021.116701
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	09 Engineering, 14 Economics
dc.subject.classification	Energy
dc.title	Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid
dc.type	Journal Article
utslib.citation.volume	290
utslib.for	09 Engineering
utslib.for	14 Economics
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/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-05-31T00:00:00+1000Z
dc.date.updated	2021-04-21T03:00:50Z
pubs.publication-status	Accepted
pubs.volume	290

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http://hdl.handle.net/10453/148224