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TAP Clean Tech | Masterclass 3

  • Event

📅 December 9, 2025 | 9:00 a.m. - 10:00 a.m. CST ‖ 🌐Virtual

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🌐Virtual

 

🎟 Tickets:
Free

 

🕔 Date + Time:
December 9, 2025 | 9:00 a.m. to 10:00 a.m. EST

Register

Goal of the Masterclass

This masterclass provides a focused overview of advanced microgrid technologies, emphasizing system resilience, cybersecurity, and the practical challenges of next-generation distributed energy systems. Led by Dr. Qu, Pegasus Professor and Chair at the University of Central Florida, the session explores cutting-edge research and real-world applications shaping the future of clean energy infrastructure.

 

Key Topics

🤖Self-Organizing Microgrids

How autonomous coordination enables microgrids to adapt, recover, and maintain stability under changing conditions.

🛂DER Coordination & Control

Approaches for integrating and managing distributed energy resources with high efficiency and reliability.

🏗️Distributed Optimization Techniques

Methods for improving operational performance across complex, multi-node microgrid systems.

🌐Cybersecure Grid Operations

Strategies for strengthening microgrid resilience against cyber threats and ensuring secure, continuous operation.

💡Insights from NSF/DOE Projects

Real-world findings from federal research initiatives and UCF’s Microgrid Control Lab.

This session is ideal for energy professionals, utility stakeholders, researchers, technology developers, and policymakers seeking a deeper understanding of emerging microgrid capabilities.

Learn More About Our CleanTech Program

Speakers

  • Zhihua Qu for Ibexa.png

    Zhihua Qu

    Pegasus Professor & Thomas J. Riordan and Herbert C. Towle Chair | University of Central Florida Zhihua Qu received the Ph.D. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, in June 1990. Since then, he has been with the University of Central Florida (UCF), Orlando, where he is currently a Pegasus Professor, the Thomas J. Riordan and Herbert C. Towle Chair, and the Founding Director of the RISES University Research Center on Energy Systems. His areas of expertise are nonlinear systems and control, with applications to energy and power systems. In energy systems, his current research covers modeling and control of inverter based resources, distributed optimization, grid cybersecurity, and grid resilience.

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