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.