The massive integration of renewable energy sources in the power grid ecosystemwith the aim of reducing carbon emissions must cope with their intrinsicallyintermittent and unpredictable nature. Therefore, the grid must improve itscapability of controlling the energy demand by adapting the power consumptioncurve to match the trend of green energy generation. This could be done byscheduling the activities of deferrable and/or interruptible electrical appliances.However, communicating the users' needs about the usage of their appliancesalso leaks sensitive information about their habits and lifestyles, thus arisingprivacy concerns.This paper proposes a framework to allow the coordination of energy consumptionwithout compromising the privacy of the users: the service requestsgenerated by the domestic appliances are divided into crypto-shares using ShamirSecret Sharing scheme and collected through an anonymous routing protocol bya set of schedulers, which schedule the requests by directly operating on theshares. We discuss the security guarantees provided by our proposed infrastructureand evaluate its performance, comparing it with the optimal schedulingobtained by means of an Integer Linear Programming formulation.
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