Predictive Energy Management for Mitigating Load-Altering Attacks for Islanded Microgrids Using Battery Energy Storage Systems

Abstract

Abstract. An increasing number of smart devices controlling loads opens a potential pathway for false data attacks, which could alter the loads. The presence of energy storage with its ability to quickly respond to discrepancies in loads offers a promising solution for security by preventing further instabilities and potential blackouts. This article proposes a control methodology for secure predictive energy management that uses batteries to mitigate the impact of load-altering attacks. To that extent, we develop a microgrid model along with the primary control for microgrid. The developed models and the optimization algorithm are validated through a real-time numerical simulation of a modified IEEE 9 bus system involving a battery as one of the energizing sources. The results show the effectiveness of the battery in countering the load alterations.