Reinforcement Learning-Based Adaptive Control for a Permanent Magnet Synchronous Generator Connected to a Hybrid AC/DC Grid with Virtual Inertia Support
The increasing penetration of renewable energy sources has increased the need for advanced control strategies capable of maintaining stability under low-inertia, converter-dominated operating conditions. In grid-connected wind energy conversion systems (WECSs), constant power loads (CPLs) exhibit negative incremental i...