Privacy-Aware Power Charging Coordination in Future Smart Grid
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2016 IEEE. In this paper, we propose a privacy-preserving power charging coordination scheme. Each energy storage unit (ESU) should send a charging request to an aggregator. The request does not reveal any private information to the aggregator. The aggregator forwards the requests to a charging controller that can know enough data to run a charging coordination scheme, but it cannot link the data to particular ESUs. Temporal charging coordination scheme is then proposed based on a modified knapsack problem formulation. The goal is to maximize the amount of power delivered to the ESUs before the charging requests expire without exceeding the available maximum charging capacity. Our simulation results demonstrate that both the optimal charging coordination and the privacy-Aware charging coordination exhibit an improved performance compared with a first-come-first-serve charging coordination. More importantly, the privacy-Aware scheme offers an attractive trade-off between the charging coordination performance and privacy preservation.
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2016 IEEE Wireless Communications and Networking Conference