Register Here: https://ieee.webex.com/weblink/register/r7f384c6fde660f0b20467477d96c151c

Abstract: The rapid transformation of the electric power grid—driven by the widespread integration of renewable energy and inverter-based resources (IBRs)—has introduced both unprecedented opportunities and complex challenges. This webinar will explore cutting-edge research and practical solutions in the advanced modeling and control of IBRs, focusing on enabling a resilient, stable, and intelligent grid of the future.

Drawing from the latest developments in dynamic system modeling, distributed optimization, and predictive control, this session will highlight scalable control architectures for high-penetration renewable environments. Attendees will gain insights into:

• Dynamic and stability modeling of inverter-based resources and their controls with electric grid.
• Virtual inertia scheduling and frequency stabilization strategies in low-inertia systems;
• Fault ride-through (FRT) enhancement and reactive power management in distribution and transmission networks;
• Hardware-in-the-loop (HIL) validation and field-deployable control schemes.
• High-fidelity electromagnetic transient (EMT) and reduced-order dynamic models for grid-forming and grid-following inverters;

Based on the research of Prof. Sukumar Kamalasadan and his collaborators, the webinar will also cover case studies on utility-scale inverter control, microgrid resilience, and data-driven energy management using AI-enhanced optimization.

This session is ideal for researchers, grid operators, engineers, and graduate students looking to deepen their understanding of how inverter-based technologies are reshaping the modern power system—and how advanced modeling and control can ensure reliability, flexibility, and sustainability.

Biosketch

Sukumar Kamalasadan is the Duke Energy Distinguished Professor of Electric Power Engineering at the University of North Carolina at Charlotte (UNCC), where he also serves as the Director of the Power, Energy, and Intelligent Systems Laboratory (PEISL) within the Energy Production and Infrastructure Center (EPIC). He earned his Ph.D. in Electrical Engineering from the University of Toledo, Ohio, in 2004.

Dr. Kamalasadan’s research focuses on data-driven approaches to power grid modernization, smart grids, microgrids, power system operation and optimization, power system dynamics, stability and control, and renewable-energy-based distributed generation. Over the past 25 years, his work has led to the development of impactful tools and methods for electric utility modernization, including fleet-wide deployment of systems that enhance grid management and control, particularly in the integration of renewable energy and energy storage technologies. His research has attracted over $14 million in funding under his direct supervision from the U.S. Department of Energy, National Science Foundation, Siemens Research, Duke Energy, Schweitzer Engineering Laboratories, and other industry partners. He is also the chief architect of the Duke Energy Smart Grid Laboratory at UNCC, a $5 million facility dedicated to advancing power systems research and education.

Dr. Kamalasadan currently serves as Deputy Editor-in-Chief of the IEEE Transactions on Industry Applications, Editor for the IEEE Transactions on Vehicular Technology, and Editor for the Elsevier Electrical Engineering Journal. He has also served as Guest Editor for the IEEE Transactions on Sustainable Energy. He is the recipient of numerous awards and honors, including the NSF CAREER Award (2008), multiple Best Paper Awards from IEEE (2015, 2017, 2018, 2020, 2021, 2022, and 2024), teaching awards and nominations (2004, 2016), and recognition as an IEEE Power & Energy Society Distinguished Lecturer since 2023. Additional accolades include the Struck Gold Award (2023), Distinguished Scholar Professor (2023), Research Excellence Award (2021), and the Duke Energy Professorship (2019). He is a Senior Member of IEEE.