A deep reinforcement learning-based distributed adaptive fixed-time fault-tolerant control for DC microgrids against actuator faults.
With the deep integration of renewable energy and DC loads, DC microgrids have become critical components of modern power systems. The widespread application of software-intensive controllers and power electronic devices has enhanced system flexibility but has also notably increased the risks of cyber-attacks and actua...