Enhancing Cyber Physical Resilience of Smart Grids скачать в хорошем качестве

Enhancing Cyber Physical Resilience of Smart Grids

The Distinguished Speaker Webinar Series aims to advance state-of-the-art concepts and methods in artificial intelligence and cyber security. It is jointly hosted by the Centers for Cyber Security and AI Research and the School of Electrical Engineering and Computer Science (SEECS) at the University of North Dakota College of Engineering & Mines. Speaker's Biography: Dr. Yuzhang Lin is an Assistant Professor in the Department of Electrical and Computer Engineering at New York University. He obtained his Bachelor and Master’s degrees from Tsinghua University, Beijing, China, respectively, and his Ph.D. degree from Northeastern University, Boston, MA, where he received the University’s prestigious Outstanding Graduate Student Research Award. His research interests focus on smart power grids, particularly in the aspects of data-driven modeling, situational awareness, cyber-physical resilience, and machine learning applications. He has published 5 book chapters and more than 50 journal papers, and his research has been widely supported by NSF, DOE, ONR, NYSERDA, national laboratories, and the power industry. He currently serves as the Co-Chair of the IEEE Power & Energy Society (PES) Task Force on Standard Test Cases for Power Systems State Estimation, and the Secretary of the IEEE PES Distribution System Operation and Planning Subcommittee. He is an Associate Editor of IEEE Transactions of Power Systems. He is a recipient of the NSF CAREER Award. About the Webinar: Modern power grids have evolved into massive-scale cyber-physical systems, with interdependence between information and communication (ICT) networks and physical power grids. Unfortunately, high-impact low-probability (HILP) events such as extreme weather events, natural disasters, and malicious cyber-physical attacks, often affect cyber and physical systems simultaneously, leading to cascading failures propagated between the two domains. In this talk, we will address the resilience of smart power grids as cyber-physical systems, i.e., how the cyber and physical subsystems can be coordinated to prepare for, adapt to, and recover from HILP events. We will first present a cyber-physical anomaly detection approach, which provides situational awareness of events occurring in both cyber and physical environments. Then, we will present a cyber-physical reconfiguration approach, which can quickly adapt to HILP events and bypass the failed components in both domains and recover critical services with the systems remaining resources. Finally, we will present a cyber-physical restoration approach, where the failed components are restored and brought back online with optimal sequential decision-making of system restoration actions considering the cyber-physical interdependence. Overall, the talk will demonstrate how the integration of cyber and physical knowledge and coordinated actions between the two domains can render a much more resilient smart grid infrastructure than siloed practices.