Scalable and privacy-preserving admission control for smart grids

Giuseppe Di Bella, Ilenia Tinnirello, Laura Giarre, Giuseppe Di Bella, Giovanni Neglia, Giovanni Neglia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publication2015 54th IEEE Conference on Decision and Control (CDC)
Pages5233-5238
Number of pages6
Publication statusPublished - 2016

Publication series

NamePROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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