An Intelligent Synchronous Power Control for Grid-Forming Inverters Based on Brain Emotional Learning

Grid-forming inverters (GFMI) are prone to have small-signal stability problems when connected to a stiff ac grid. Such stability problems originate significantly from the absence of GFMI control adaptivity to the varying short-circuit ratio (SCR). To confront this challenge, this letter proposes an intelligent synchronous power control (SPC) scheme that is robust against a wide range of SCR of the ac grid. The letter focuses on the design and digital implementation of brain emotional learning to provide adaptive tuning of the SPC control parameters, enabling the system to quickly adapt to changes in SCR. The approach passes the dependency of the active power control loop with the SPC on the operating point conditions, which enhances the system's robustness. Both theoretical and experimental validations confirmed the effectiveness of the proposed approach.