2025 Annual Meeting & Academic Conference of IEEE PES China Satellite Technical Committee – Power System Communications and Cybersecurity (PSCCC STC)
Nanchang Kaimei Hotel, Nanchang, Jiangxi, China
IEEE PES Webinar: Grid-Following Inverters and Fault Characteristics Evaluations
Presented by: Dr. Shuhui Li, University of Alabama This webinar: Gives a detailed investigation of GFL inverters under both balanced and unbalanced fault conditions, directly connecting their responses to their inherent operating principles and control strategies. Leveraging high-fidelity EMT simulations, the authentic dynamics of GFL inverter performance during faults are examined. This webinar aims to uncover the critical characteristics in fault behavior of GFL inverters, offering practical insights to support commissioning checks, enhance post-event diagnostics, and guide the design of robust protection strategies for inverter-dominated grids and microgrids. Presenter bios: Dr. Shuhui Li (Senior Member, IEEE) earned his B.S. and M.S. degrees in electrical engineering from Southwest Jiaotong University in Chengdu, China, in 1983 and 1988, respectively. He obtained his Ph.D. in electrical engineering from Texas Tech University in Lubbock, TX, in 1999. From 1988 to 1995, he was with the School of Electrical Engineering at Southwest Jiaotong University, where his research focused on electrified railways, power electronics, power systems, and power system harmonics. Between 1995 and 1999, he conducted research on wind power, artificial neural networks, and applications of massive parallel processing. In 1999, he joined Texas A&M University in Kingsville, TX, as an Assistant Professor and was promoted to Associate Professor in 2003. He joined the University of Alabama in Tuscaloosa, AL, in 2006 and is currently a full professor there. He received the IEEE Standards Association’s Emerging Technology Award for his contributions to IEEE Std. 2800-2022. His current research interests include renewable energy systems, power electronics, power systems, electric machines and drives, and the application of artificial intelligence and machine learning in power and energy systems. Dr. Li is a senior member of IEEE and the National Academy of Inventors. He is the chair of the Renewable Technologies Subcommittee and the subgroup lead of the Workforce Initiative of the IEEE Power & Energy Society.