A bayesian game-theoretic demand response model for the smart grid

Author(s): Ulas Baran Baloglua, Yakup Demirb
a Engineering Faculty, Tunceli University, Tunceli 62000, Turkey
b Electrical and Electronics Engineering Department, Firat University, Elazig 23119, Turkey
International Journal of Smart Grid and Clean Energy, vol. 4, no. 2, April 2015: pp. 132-138
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.4.2.132-138


Abstract: Smart grids are considered to replace traditional grids by adopting advanced technologies. Peak amounts would be an important future problem because of new devices such as electric cars, smart home appliances and the others with high-energy consumptions. In a smart grid environment, these problems should be eliminated. As a solution a management and control mechanism is required. In a smart grid, demand-side management or demand response system aims to obtain an evenly distributed consumption. In this study, a demand response model is proposed. This model uses game-theoretical methodologies with a dynamic pricing scheme. In an intelligent system of consumers and the utility company, energy prices are dynamic. Lowering prices may motivate consumers to shift some of their daily optional consumption. The motivation for saving on energy bills can be used with game-theoretical methodologies to construct a solution that eliminates peak amounts.
Keywords: Demand response model, dynamic pricing, game theory, smart grid
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