Privacy-preserving smart meter control strategy including energy storage losses

TL;DR

This paper introduces a predictive control strategy for smart meters that accounts for energy storage losses and uses Bayesian risk to balance privacy protection with energy efficiency.

Contribution

It presents a novel one-step-ahead predictive control method incorporating energy storage losses and Bayesian risk for privacy preservation in smart meters.

Findings

Energy storage losses significantly impact privacy control performance.

The proposed controller effectively reduces privacy leakage.

Energy storage can protect privacy but introduces energy losses.

Abstract

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.