Prioritizing consumers in smart grid: Energy management using game theory

Tushar, W; Zhang, JA; Smith, DB; Thiebaux, S; Poor, HV

Prioritizing consumers in smart grid: Energy management using game theory

Tushar, W Zhang, JA

Smith, DB Thiebaux, S Poor, HV

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Communications, 2013, pp. 4239 - 4243
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Tushar, W	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Smith, DB	en_US
dc.contributor.author	Thiebaux, S	en_US
dc.contributor.author	Poor, HV	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	IEEE International Conference on Communications, 2013, pp. 4239 - 4243	en_US
dc.identifier.isbn	9781467331227	en_US
dc.identifier.issn	1550-3607	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120882
dc.description.abstract	This paper explores an idea of demand-supply balance for smart grids in which consumers are expected to play a significant role. The main objective is to motivate the consumer, by maximizing their benefit both as a seller and a buyer, to trade their surplus energy with the grid so as to balance the demand at the peak hour. To that end, a Stackelberg game is proposed to capture the interactions between the grid and consumers, and it is shown analytically that optimal energy trading parameters that maximize customers' utilities are obtained at the solution of the game. A novel distributed algorithm is proposed to reach the optimal solution of the game, and numerical examples are used to assess the properties and effectiveness of the proposed approach. © 2013 IEEE.	en_US
dc.relation.ispartof	IEEE International Conference on Communications	en_US
dc.relation.isbasedon	10.1109/ICC.2013.6655229	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Prioritizing consumers in smart grid: Energy management using game theory	en_US
dc.type	Conference Proceeding
utslib.for	1005 Communications Technologies	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
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

This paper explores an idea of demand-supply balance for smart grids in which consumers are expected to play a significant role. The main objective is to motivate the consumer, by maximizing their benefit both as a seller and a buyer, to trade their surplus energy with the grid so as to balance the demand at the peak hour. To that end, a Stackelberg game is proposed to capture the interactions between the grid and consumers, and it is shown analytically that optimal energy trading parameters that maximize customers' utilities are obtained at the solution of the game. A novel distributed algorithm is proposed to reach the optimal solution of the game, and numerical examples are used to assess the properties and effectiveness of the proposed approach. © 2013 IEEE.

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

http://hdl.handle.net/10453/120882