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Scalable and Privacy-Preserving Admission Control for Smart Grids


Energy demand and production need to be constantly matched in the power grid. The traditional paradigm to continuously adapt the production to the demand is challenged by the increasing penetration of more variable and less predictable energy sources, like solar photovoltaics and wind power. An alternative approach is the so called direct control of some inherently flexible electric loads to shape the demand. Direct control of deferrable loads presents analogies with flow admission control in telecommunication networks: a request for network resources (bandwidth or energy) can be delayed on the basis of the current network status in order to guarantee some performance metrics. In this paper we go beyond such an analogy, showing that usual teletraffic tools can be effectively used to control energy loads. In particular we propose a family of control schemes which can be easily tuned to achieve the desired trade-off among resources’ usage, control overhead and privacy leakage.
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hal-01255726 , version 1 (13-01-2016)


  • HAL Id : hal-01255726 , version 1


Giovanni Neglia, Giuseppe Di Bella, Laura Giarré, Ilenia Tinnirello. Scalable and Privacy-Preserving Admission Control for Smart Grids. IEEE 54th Annual Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. ⟨hal-01255726⟩
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