IEEE Metropolitan Los Angeles Section Power & Energy Society Chapter

Presented by: Dr. Shuhui Li, University of Alabama This webinar series aims to provide fundamental knowledge and guideline on how to conduct solar photovoltaic system design and installation process. The webinar 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, in 1999. He joined the University of Alabama, Tuscaloosa, AL, USA, as an Associate Professor, in 2006. 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.

Presented by: Dr. Lingling Fan, University of South Florida This one-hour webinar will present a few highlights of a recently published book: L. Fan, Z. Miao, Modeling and Stability Analysis of Inverter-Based Resources, CRC Press 2023. The webinar will be useful for undergraduate and graduate students who aim to learn dynamic modeling of inverter-based resources (IBRs), converter control design, stability analysis, and electromagnetic transient simulation (EMT). This talk focuses on a few highlights of the book: 1. Per unit-based computation and parameter configuration for converter controls – this approach facilitates developing engineering intuitions and insights. 2. Testbed building and control validation through EMT environments. Different from many programming-intensive approaches, EMT environment makes testbed building easy and bug free, saving us tremendous time to focus on analysis instead of entangled with numerical integration, coding and debugging. 3. Feedback system analysis –By thinking in feedback systems, we naturally conduct simplification based on needs. It is no surprise that control design and control implementation should be treated separately. This separation simplifies the task of controller parameter tuning. In summary, dynamic modeling and analysis is intriguing and full of fun, if the above strategies are adopted. Presenter bio: Dr. Lingling Fan is a full professor at the Department of Electrical Engineering at the University of South Florida. She was with Midwest ISO (St. Paul, Minnesota) from 2001 to 2007. Dr. Fan is research active in control, system identification, and stability analysis of power systems, power electronic converters, and electric machines. Dr. Fan is the founding co-chair of IEEE Power and Energy Society’s Wind SSO/IBR SSO task force. She has authored/co-authored three books on dynamic modeling of power grids, synchronous machines, and inverter-based resources. Currently, Dr. Fan serves as the Editor-in-Chief of IEEE Electrification Magazine and Associate Editor for IEEE transactions on Energy Conversion. Dr. Fan was elevated to IEEE Fellow class 2022 for her contributions to stability analysis and control of inverter-based resources.

Presented by: Ramteen Sioshansi, Carnegie Mellon University This webinar provides an overview of the state-of-the-art concerning the modelling of energy storage in electricity systems. This webinar begins with a discussion of the range of services that energy storage can provide to an electricity system. Next, there will be an overview of the classes of models that can be used for studying interactions between energy storage and electricity systems, as well as examples of what applications and modelling approaches might be of particular importance to different stakeholders who are concerned with energy storage. Finally, this module will survey the state-of-the-art in energy-storage modelling. This will include examples of how modelling choices can influence the outcomes of a modelling exercise, limitations of existing models, and where model development, advancement, and research should be focused. Presenter bio: Ramteen is a professor in Department of Engineering and Public Policy and Department of Electrical and Computer Engineering, director of Carnegie Mellon Electricity Industry Center, and a faculty affiliate of Wilton E. Scott Institute for Energy Innovation at Carnegie Mellon University and an adjunct professor in Department of Integrated Systems Engineering at The Ohio State University. His research focuses on the techno-economics of decarbonizing energy systems. He works also in energy policy and electricity-market design, especially as they pertain to energy decarbonization. He is an IEEE Fellow and served three two-year terms on Electricity Advisory Committee, a federal advisory committee to the U.S. energy secretary, and chaired its Energy Storage (Technologies) Subcommittee.

Presented by: Gregor Verbic, The University of Sydney This webinar aims to showcase the Top 5 papers selected in 2023 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. Presenters of Selected Papers: Qinran Hu – His research interests include power system optimization, demand aggregation, and virtual power plants. Yi Wang – His research interests include data analytics in smart grids, energy forecasting, multienergy systems, Internet of Things, and cyber–physical–social energy systems. Xin Chen – He was a recipient of the Outstanding Student Paper Award in IEEE Conference on Decision and Control in 2021, the Best Student Paper Award Finalist in the IEEE Conference on Control Technology and Applications in 2018, and the Best Conference Paper Award in the IEEE PES General Meeting in 2016. Md Habib Ullah – His research interests include transactive energy management, distributed P2P energy trading, and energy market. Vijay A S – His research interests include real-time simulation, power-level emulation, power electronics in distributed generation, and power quality.