Resilient Consensus Control With Privacy Protection for Battery Energy Storage Systems

Battery Energy Storage Systems (BESS) have become essential for balancing power supply and demand through dynamic adjustments in charging and discharging. However, their integration into public networks exposes them to vulnerabilities, including adversarial attacks and privacy breaches, which threats system stability and coordination of agents. To mitigate these challenges, this letter presents a distributed resilient consensus algorithm that integrates Mean-Subsequence-Reduced techniques with Differential Privacy within a leader-follower framework. Our proposed approach ensures robust consensus on State-of-Charge, accurate demand tracking, and equitable power distribution while safeguarding the privacy of initial states, even in the presence of malicious nodes. For this purpose, we also introduce an error tracking factor to guarantee the accuracy of demand tracking. Our algorithm is provably correct since it is proven to converge with differential privacy preserved for the whole BESS privacy preserved. Numerical simulations further substantiate its performance of resilient and secure demand tracking in practical scenarios.