DocumentCode
1980101
Title
An efficient energy curtailment scheme for outage management in smart grid
Author
Tushar, Wayes ; Jian Zhang ; Smith, David B. ; Poor, H. Vincent ; Platt, Glenn ; Durrani, Salman
Author_Institution
Res. Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
3056
Lastpage
3061
Abstract
In this paper an efficient energy curtailment scheme is studied, which enables the power users of a smart grid network to decide on the reduction in energy supplied to them in the event of a power outage in the system. Considering the advantages of a two-way communications infrastructure for any future smart grid, a non-cooperative generalized Nash game is proposed where the players are users of power in the network. They adopt a strategy to choose the amount of reduction in energy supplied to them based on their energy requirements so as to minimize the total cost incurred to the system due to the power outage (i.e., social optimality). The game is modeled as a variational inequality problem, and it is shown that the socially optimum solution is obtained at the variational equilibrium of the energy curtailment game. An algorithm that enables the users to efficiently reach this equilibrium is proposed. Simulation results show that the proposed game yields an improvement of about 15% on average, in terms of average total cost reduction, compared to a standard equal power curtailment scheme.
Keywords
cost reduction; game theory; minimisation; power system economics; power system management; smart power grids; variational techniques; average total cost reduction; energy curtailment game; energy reduction; energy requirements; noncooperative generalized Nash game; power outage management; power users; smart grid network; socially optimum solution; total cost minimization; two-way communication infrastructure; variational equilibrium; variational inequality problem; Smart grid; energy curtailment; game theory; outage management; variational equilibrium; variational inequality;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503583
Filename
6503583
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