Presented by: Gregor Verbic, Yan Cui, Alfan Presekal, Weihao Hu, Linfang Yan, Yan Xu This webinar: Aims to showcase the Top 5 papers selected in 2024 among the ones published in the IEEE Transactions on Smart Grid. The IEEE-TSG is a cross-disciplinary journal aimed at disseminating the results of research on and development of the smart grid, which encompasses energy networks where prosumers, electric transportation, distributed energy resources, and communications are integral and interactive components, as in the case of microgrids and active distribution networks interfaced with transmission systems. Presenter Bio(s): Yan Cui, Yan Cui received his B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2018 and 2023, respectively. Since 2023, Dr. Cui has served as a Quantitative Strategy Researcher at Ubiquant Investment in Beijing, China. Alfan Presekal, https://ieeexplore.ieee.org/author/37085574643 Weihao Hu, https://ieeexplore.ieee.org/author/37306820000 Linfang Yan, https://ieeexplore.ieee.org/author/37086393595 Yan Xu, https://ieeexplore.ieee.org/author/37403527500

Presented by: Xingpeng Li, University of Houston This webinar will describe a general procedure for enforcing grid dynamic performance in look-ahead optimal energy scheduling models. Particularly, the talk will demonstrate this procedure by explaining how to create a machine learning-based frequency stability prediction model that is then integrated into optimal energy scheduling models, creating novel inertia-constrained grid operation models. Presenter bio: Xingpeng Li is currently an Associate Professor with the Department of Electrical and Computer Engineering at the University of Houston, where he was an Assistant Professor from 2018 to 2024. He previously worked for ISO New England, PJM Interconnection, and ABB’s Power Grid division (now is Hitachi Energy). He received the NSF CAREER award in 2024. His research interests include power system control and operations, grid reliability and stability, and microgrids optimal sizing and energy management. After the Webinar: The recording, slides, and education credit will be available in the PES Resource Center, https://resourcecenter.ieee-pes.org/education/webinars within 3-5 business days.

Presented by: Principal Member Ryan T. Elliott, Ph.D., Sandia National Laboratories, Professor Daniel J. Trudnowsk, Ph.D., Montana State University, Professor Joe H. Chow, Ph.D., Rensselaer Polytechnic Institute This webinar: Explores three core themes from Power System Oscillations, Second Edition, an updated text building on Graham Rogers’ seminal work on small-signal stability analysis. First, we reflect on the first edition—its development and lasting influence on oscillation studies. Next, we examine measurement-based modal analysis, showcasing how wide-area measurement systems (WAMS) enable real-time monitoring. Finally, we assess the oscillatory behavior of inverter-based resources (IBRs), such as battery storage and solar PV, and their impact on large-scale power system dynamics. Using examples from the open-source Power and Energy Storage Systems Toolbox (PSTess), we highlight 25 years of progress in the field. Designed for engineers, academics, and researchers, this session bridges Rogers’ foundational contributions with today’s stability challenges, offering practical insights while honoring his legacy. Presenter bios: Ryan T. Elliott, Ph.D.,- https://energy.sandia.gov/staff/ryan-t-elliott/ Daniel J. Trudnowksi, Ph.D.,- https://ieeexplore.ieee.org/author/37272342700 Joe H. Chow, Ph.D.,- https://ieeexplore.ieee.org/author/37285930800 After the Webinar: The recording, slides, and education credit will be available in the PES Resource Center, https://resourcecenter.ieee-pes.org/education/webinars within 3-5 business days.