Open access
Sep 2026
Data-Driven Fault Ride-Through Operation of Distributed Grid-Forming Inverters Using Multi-Agent Reinforcement Learning
A multi-agent reinforcement learning inspired technique for the parameter selection of virtual synchronous generator (VSG)-controlled GFMIs through independent twin delayed deep deterministic policy gradient (TD3PG) agents, considering symmetrical and asymmetrical grid faults on the IEEE 13 bus network is proposed.
S. Chand, Arman Ali, S. A. Ali et al.
· Energies · 0 citations