IEEE Power & Energy Society Live Online Learning Topic: Short-Circuit Calculations and Grid Equivalents of Modern Power Systems with Power Electronics Presented by: Oriol Gomis-Bellmunt, Professor CITCEA-UPC & Co-founder, eRoots, Josep Fanals-Batllori, CEO & Lead Engineer, eRoots, Jie Song, Postdoc researcher, CITCEA-UPC, Co-founding parterner, eRoots This webinar: The rising penetration of power electronics has significantly changed the feature of modern power system. Compared to conventional generators and loads, power electronics converters can operate in various control modes and might saturate the current in case of being overloaded. Such non-linear characteristics of converters’ operation also increases the complexity for computational analysis of power systems. In this webinar, we will introduce several new approaches for the steady-state calculation of power systems with power electronics in both normal operation and short-circuit fault status. Firstly, we will present an effective solver for short-circuit calculations of power systems dominated by power electronics converters considering the converters’ limits. Then, a novel grid-equivalent representation based on voltage-current mapping will be introduced, which could serve as an alternative of conventional Thévenin/Norton equivalents for computational analysis of power systems with power electronics. Presenter bio: Oriol Gomis-Bellmunt (S’05-M’07-SM’12-F’21) received the degree in industrial engineering from the School of Industrial Engineering of Barcelona (ETSEIB), Technical University of Catalonia (UPC), Barcelona, Spain, in 2001 and the Ph.D. degree in electrical engineering from the UPC in 2007. In 2022, he co-founded the start-up eRoots Analytics focused on the analysis of modern power systems. Josep Fanals-Batllori received the bachelor’s degree in Electrical Engineering from Escola Politècnica Superior (EPS), In March of 2022 he joined eRoots as a development engineer. Since February 2023 he is the CEO of eRoots. Jie Song received the bachelor degree in automation from Central South University, China, in 2016, the double master degree in energy innovation from Royal Institute of Technology (KTH), Sweden, and Technical University of Catalonia (UPC), Spain, in 2018, with EIT InnoEnergy program and the Ph.D. degree in electrical engineering from the UPC in 2023.

IEEE Power & Energy Society Live Online Learning Topic: A Machine Learning Framework for Stability Analysis of the Future Power Grids Presented by: Dr. Jin Tan, National Renewable Energy Laboratory This webinar: With increasing penetrations of PV generation (including other distributed energy resources), future distribution systems, which will be governed by faster dynamics and complex dispatch mechanisms, requiring novel estimation and control of distribution-located assets. Open Energy Data Initiative – System Integration (OEDI-SI) is currently developing key software tools, datasets novel distribution state estimation, control optimization, and transient event analyses. This initiative will enable users to have access to open-source data and algorithms along with ability to incorporate user-specific data to perform distribution-level analyses. More specifically, the focus of the effort is on developing distribution system state estimation (DSSE), distribution optimal power flow (D-OPF), and transient event analysis. In this tutorial we will provide an overview and hands-on training on utilizing the tools developed in OEDI-SI by multiple National Labs and DOE. Presenter bio: Dr. Jin Tan is a principal engineer and a distinguished member of the research staff in the Grid Automation and Controls Group within the Power Systems Engineering Center at the National Renewable Energy Laboratory (NREL). She leads development of the Multi-Timescale Integrated Dynamic and Scheduling (MIDAS) framework to address the challenges of planning and operating extremely high renewable penetrated grid. She is also developing advanced electromagnetic transient (EMT) simulation capability for power grids with large numbers of distributed energy resources to study the stability of 100% renewables.

Topic: Solar Design and Installation Training – 101 Tutorial Presented by: Shuhui Li, Associate Professor, University of Alabama This Web-based Tutorial: Aims to provide fundamental knowledge and guideline on how to conduct solar photovoltaic system design and installation process. This tutorial starts with a brief introduction to electric power systems as well as the clean development of modern electric power systems. Then, the webinar turns to one of the fastest-growing clean energy sectors – Solar Photovoltaic (PV). The webinar aims to provide an easy understanding way, with minimum theoretical involvement, to establish with quick understanding and skills on how to design and install a solar PV system. The topics include solar panels, solar inverters, batteries for solar PV systems, racking of solar panels, PV system design guidelines, PV system installation guide, and testing and troubleshooting. A significant number of practical figures, drawings, videos, and presentation animations will be utilized in the webinar series to build fundamental skills that would speed up trainees to get into the solar industry. Presenter Bio: Dr. Shuhui Li received the B.S. and M.S. degrees in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 1983 and 1988, respectively, and the Ph.D. degree in electrical engineering from Texas Tech University, Lubbock, TX, USA. He is a recipient of the IEEE Standards Association’s Emerging Technology Award for his contribution to IEEE Std. 2800-2022. He is the chair of the Pre_university Committee and Renewable Technologies Subcommittee with IEEE Power & Energy Society. His current research interests include renewable energy systems, power electronics, power systems, electric machines and drives, and applications 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.