Reinforcement learning enhances fault-tolerant power control in offshore wind farms: New research published in IEEE ACCESS

A new study introduces a reinforcement learning-based approach to intelligent fault-tolerant control (FTC) for offshore wind farms. This innovative method optimizes active power control and frequency regulation, even under fault conditions, enhancing system reliability and performance. Published in IEEE Access, the research demonstrates how intelligent FTC strategies—both passive and active—can safeguard wind turbines, reduce damage, and ensure efficient operation in dynamic environments. The findings are validated using a comprehensive wind farm benchmark model.