DocumentCode :
3580009
Title :
Cooperative demand response using repeated game for price-anticipating buildings in smart grid
Author :
Kai Ma ; Guoqiang Hu ; Spanos, Costas J.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2014
Firstpage :
565
Lastpage :
570
Abstract :
This paper proposes a cooperative demand response scheme for price-anticipating buildings in smart grid. The cooperative demand response scheme is formulated as a constrained social optimization problem. We develop a cooperative strategy and obtain a Pareto-optimal solution from the constrained social optimization problem. Comparing with the Nash equilibrium obtained from the one-stage demand management game, the Pareto-optimal solution reduces the electricity costs to all the building managers. We further align this Pareto-optimal solution with the subgame perfect Nash equilibrium of a repeated demand management game and develop an incentive-compatible trigger-and-punishment mechanism to avoid the noncooperative behavior of the building managers. Numerical results demonstrate that the cooperative demand response scheme can reduce the electricity costs, the electricity price, and the total energy consumption.
Keywords :
Pareto optimisation; game theory; load management; power markets; smart power grids; Pareto optimal solution; constrained social optimization problem; cooperative demand response; cooperative strategy; price anticipating buildings; repeated game; smart grid; Buildings; Electricity; Energy consumption; Games; Load management; Nash equilibrium; Pricing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
Type :
conf
DOI :
10.1109/ICARCV.2014.7064366
Filename :
7064366
Link To Document :
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