Privacy-Preserving Prepayment Based Power Request and Trading in Smart Grid

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Demand response has been inten-sively studied in recent years. It can motivate customers to change their consumption pat-ts according to the dynamic (time-varying) electricity price, which is considered to be the most cost-effective and reliable solution for smoothing the demand curve. However, many existing schemes, based on users demand request in each period, require users to con-sume their requested electricity exactly, which sometimes causes inconvenience and losses to the utility, because customers cannot always be able to consume the accurate electricity de-mand due to various personal reasons. In this paper, we tackle this problem in a novel ap-proach. Instead of charging after consumption, we adopt the prepayment mechanism to imple-ment power request. Furthermore, we propose a trading market running by the control center to cope with the users dynamic demand. It is noteworthy that both users original demand and trading records are protected against po-tential adversaries including the curious con-trol center. Through the numerical simulation, we demonstrate that our scheme is highly effi-cient in both computation and communication.
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