DocumentCode :
3688867
Title :
Energy Trading In the smart grid: A game theoretic approach
Author :
Naouar Yaagoubi;Hussein T. Mouftah
Author_Institution :
School of Electrical Engineering and Computer Science, University of Ottawa, ON, Canada
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
The new and improved smart grid allows energy to flow back from customers into the grid. Customers can sell their excess of energy to the grid or to other customers. While the former has been extensively researched in the literature and is known as Vehicule-to-Grid (V2G) [1], the latter is broadly referred to as energy trading. In this paper, we propose a game theoretic approach that allows customers in the grid to buy energy from other customers offering their surplus at a discounted price. The proposed approach is based on a modified regret matching procedure [2] and enables users to trade energy. Sellers make profit by selling their surplus of energy gathered from renewable resources and stored in energy storage devices such as batteries. Buyers can save on their energy bill by buying cheap energy from their neighbors instead of the grid, therefore decreasing the load on the grid and making use of clean renewable energy. The proposed approach is evaluated through a set of simulations, which show that the proposed approach encourages the use of clean energy and provides energy bill savings to buyers.
Keywords :
"Games","Smart grids","Energy storage","Mathematical model","Cost function","Heuristic algorithms","Electrical engineering"
Publisher :
ieee
Conference_Titel :
Smart Energy Grid Engineering (SEGE), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/SEGE.2015.7324593
Filename :
7324593
Link To Document :
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