2019/02/20 by Ecenaz Erdemir, Erdemir, Ecenaz, Pier Luigi Dragotti +3
Engineering · #Electric Vehicles and Infrastructure #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Smart Grid Energy Management #Smart Grid Security and Resilience
paper · pdf · doi:10.48550/arxiv.1902.07739
openalex publication_date 2019/02/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We study the privacy-cost trade-off in a smart meter (SM) system with a\nrenewable energy source (RES) and a finite-capacity rechargeable battery (RB).\nPrivacy is measured by the mutual information rate between the energy demand\nand the energy received from the grid, where the latter also determines the\ncost, and hence, reported by the SM to the utility provider (UP). We consider a\nrenewable energy generation process that fully charges the RB at random time\ninstants, and its realization is assumed to be known also by the UP. We\nreformulate the problem as a Markov decision process (MDP), and solve it by\ndynamic programming (DP) to design battery charging and discharging policies\nthat minimize a linear combination of the privacy leakage and energy cost. We\nalso propose a lower bound and two alternative low-complexity energy management\npolicies, one of which is shown numerically to perform close to the MDP\nsolution.\n