2 papers
eess.SY2024
Physics-Informed AI Inverter
Qing Shen, Yifan Zhou, Peng Zhang +3
This letter devises an AI-Inverter that pilots the use of a physics-informed neural network (PINN) to enable AI-based electromagnetic transient simulations (EMT) of grid-forming in…
eess.SY2024
Scalable Neural Dynamic Equivalence for Power Systems
Qing Shen, Yifan Zhou, Huanfeng Zhao +4
Traditional grid analytics are model-based, relying strongly on accurate models of power systems, especially the dynamic models of generators, controllers, loads and other dynamic…