Open access
Jul 2026
Physics-Informed Distributionally Robust Multi-Agent Reinforcement Learning for Coordinated New-Type Power System Operation
High renewable penetration and large-scale green hydrogen production are accelerating the formation of the new-type power system (NTPS), in which electrical dispatch, electrolysis, hydrogen storage, fuel-cell reconversion, and flexible demand must be coordinated under nonlinear network physics and uncertain renewable,...
Fei Liu, Outing Zhang, Jun Yin et al.
· Energies · 0 citations