AI-Empowered Innovation in Electrical Discipline Teaching and Research

This document presents a forum on AI-empowered innovation in electrical discipline teaching, research, and competitions, focusing on power-frequency response characteristics of grid-forming virtual synchronous generators (GFVSG) and optimization strategies. Dr. Rongliang Shi, an associate professor with extensive experience in academia and industry, discusses challenges in new-type power systems under the dual carbon targets, including instability issues of grid-following control under weak grids. The presentation covers current control performance issues with converters, analysis of GFVSG power-frequency oscillation, suppression strategies, and future outlooks. Key topics include the transition from grid-following to grid-forming control to enhance weak grid adaptability, the role of virtual synchronous generators in providing voltage and frequency support, and the importance of addressing multi-timescale transient characteristics in power-electronized systems. The document highlights the need for innovative solutions to ensure stable operation with high renewable energy penetration.