A Game-Theoretic Approach to Energy Trading in the Smart Grid



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IEEE Transactions on Smart Grid


Electric storage units constitute a key element in the emerging smart grid system. In this paper, the interactions and energy trading decisions of a number of geographically distributed storage units are studied using a novel framework based on game theory. In particular, a noncooperative game is formulated between storage units, such as plug-in hybrid electric vehicles, or an array of batteries that are trading their stored energy. Here, each storage unit's owner can decide on the maximum amount of energy to sell in a local market so as to maximize a utility that reflects the tradeoff between the revenues from energy trading and the accompanying costs. Then in this energy exchange market between the storage units and the smart grid elements, the price at which energy is traded is determined via an auction mechanism. The game is shown to admit at least one Nash equilibrium and a novel algorithm that is guaranteed to reach such an equilibrium point is proposed. Simulation results show that the proposed approach yields significant performance improvements, in terms of the average utility per storage unit, reaching up to 130.2% compared to a conventional greedy approach.



Double auctions, electric storage unit, energy management, noncooperative games


Copyright 2014 IEEE Transactions on Smart Grid. This is a pre-print version of a published paper that is available at: https://ieeexplore.ieee.org/abstract/document/6798766. Recommended citation: Wang, Yunpeng, Walid Saad, Zhu Han, H. Vincent Poor, and Tamer Ba?ar. "A game-theoretic approach to energy trading in the smart grid." IEEE Transactions on Smart Grid 5, no. 3 (2014): 1439-1450. doi: 10.1109/TSG.2013.2284664. This item has been deposited in accordance with publisher copyright and licensing terms and with the author's permission.