This webinar: The dynamic performance of inverter-based resources is of increasing importance in power system dynamics. Over the past decade, new types of instabilities driven by inverter controls have emerged, leading to the need for stability studies using the two main types of inverter control: Grid-forming and Grid-following controls. However, there exists a widespread misconception, prevalent across industry, research, and academia, that Grid-following control is inherently “bad” while Grid-forming control is universally “good.” This research challenges this misconception by demonstrating the evaluation of inverter controls based on their performance rather than the internal controller architecture. Through comprehensive time-domain RMS, EMT, and small-signal analysis, this study demonstrates that properly tuned Grid-following inverters can exhibit comparable performance to Grid-forming inverters across a wide range of operational conditions. Additionally, the paper addresses the limitations of each technology, particularly in extreme weak grid scenarios. Presenter bios: Luis David Pabón Ospina is a Senior Scientist in the Grid Control and Grid Dynamics group at Fraunhofer IEE in Kassel, Germany. He earned his Ph.D. from the University of Kassel, Germany, in 2021. Since 2014, he has been with Fraunhofer IEE, focusing on power system dynamics, modeling, and control. Deepak Ramasubramanian received the M.Tech. degree from the Indian Institute of Technology Delhi, New Delhi, India, in 2013, and the Ph.D. degree from Arizona State University, Tempe, AZ, USA, in 2017. He is currently a Technical Leader at the Grid Operations and Planning Group, Electric Power Research Institute (EPRI) and leads research projects related to modeling of inverter-based resources for bulk power system analysis.

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.