We study the privacy-cost trade-off in a smart meter (SM) system with a
renewable energy source (RES) and a finite-capacity rechargeable battery (RB).
Privacy is measured by the mutual information rate between the energy demand
and the energy received from the grid, where the latter also determines the
cost, and hence, reported by the SM to the utility provider (UP). We consider a
renewable energy generation process that fully charges the RB at random time
instants, and its realization is assumed to be known also by the UP. We
reformulate the problem as a Markov decision process (MDP), and solve it by
dynamic programming (DP) to design battery charging and discharging policies
that minimize a linear combination of the privacy leakage and energy cost. We
also propose a lower bound and two alternative low-complexity energy management
policies, one of which is shown numerically to perform close to the MDP
solution.

研究了智能电表系统中隐私成本权衡的问题，使用可再生能源和有限容量的可充电电池，利用马尔可夫决策过程和动态规划，设计电池的充电和放电策略，使隐私泄露和能源成本的线性组合最小化，并提出了两种低复杂度的能源管理策略。