Cyber-Resilient Control for a 100% Inverter-Based Microgrid: Analysis and Real-Time Simulation

As the U.S. moves toward cleaner electricity generation, the number of installed inverter-based resources such as wind and photovoltaic (PV) are on the rise. These inverter-based resources (IBR) rely on communication to update their real and reactive power set point; however, it opens room for cyberattacks. Previous work proposed ways to detect and mitigate cyberattacks for fully inverter-based microgrids using software simulation, but the feasibility of these methods needs to be tested using control hardware-in-the-loop (CHIL). This work develops a CHIL testbed using Typhoon HIL 402, Raspberry Pi 4, and a network switch to implement a cyber-resilient inverter control against false data injection (FDI) attacks. The Raspberry Pi 4 receives the electrical measurements from the Typhoon HIL using user datagram protocol (UDP) communication, runs the LSTM-based detection and mitigation code using the received measurements and sends back the corrected set point if an FDI attack is detected. The proposed method is tested on a fully inverter-based microgrid with four inverters under various scenarios.