Real-Time Anomaly Detection and Remedy Actions for Resilient Operation of DC-Coupled Fast EV Chargers

This paper presents a real-time anomaly detection tailored specifically for DC-coupled fast electric vehicle (EV) chargers integrated with renewable energy sources. The proposed method integrates a post attack detection operation mechanism as a remedy action to enhance the resilient operation of the fast EV chargers during a cyber event. The proposed approach aims to detect these cyber events by employing a multi-time scale anomaly diagnosis, incorporating comparisons between estimated EV's state-of-charge (SoC) and SoC received through the communication link, rate of change of SoC, monitoring the periodic frame reception timing, analysis of available power from photovoltaic (PV) panels against the expected levels at a specific daytime interval, and the deviation of the DC link voltage. The proposed real-time anomaly detection and remedy actions is validated via rigorous simulation tests under cyber-attacks scenarios, demonstrating its robustness and efficacy across various operational conditions.