Operational Cybersecurity of Distributed Energy Resources Using Optimization, Control Theory, and ML

Explore the challenges and solutions in operational cybersecurity for Distributed Energy Resources (DER) in this seminar by Daniel Arnold from Lawrence Berkeley National Laboratory. Delve into the complexities of maintaining power grid safety and efficiency as DER adoption increases, including rooftop solar systems, behind-meter batteries, and electric vehicles. Discover how IoT connectivity and emerging control paradigms in DER standards create potential vulnerabilities for remote access and system disruption. Learn about ongoing research led by LBNL and funded by the DOE addressing these issues. Examine how techniques from control theory, optimization, and machine learning can be applied to detect and mitigate cyber attacks on DER control systems. Gain insights into broader cybersecurity challenges in power systems and explore potential data science solutions. Benefit from Arnold's expertise as a research scientist at LBNL and adjunct professor at UC Berkeley, with a background in mechanical engineering and a focus on applying advanced techniques to critical infrastructure cybersecurity.

Operational Cybersecurity of Distributed Energy Resources using Optimization, Control Theory, and ML