  Privacy-preserving smart meter control strategies proposed in the literature
so far make some ideal assumptions such as instantaneous control without delay,
lossless energy storage systems etc. In this paper, we present a one-step-ahead
predictive control strategy using Bayesian risk to measure and control privacy
leakage with an energy storage system. The controller estimates energy state
using a three-circuit energy storage model to account for steady-state energy
losses. With numerical experiments, the controller is evaluated with real
household consumption data using a state-of-the-art adversarial algorithm.
Results show that the state estimation of the energy storage system
significantly affects the controller's performance. The results also show that
the privacy leakage can be effectively reduced using an energy storage system
but at the expense of energy loss.
