Cascading Failures in Power Grids

lt;b> Kai Sun, Ph.D., is an associate professor with the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK). He is also a member of the Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks (CURENT), which is headquartered at UTK and was jointly supported by the National Science Foundation (NSF) and the Department of Energy (DoE) for 10 years before becoming self-sustaining. Dr. Sun received his bachelor's degree in automation and his Ph.D. in control science and engineering from Tsinghua University in Beijing in 1999 and 2004, respectively. From 2007 to 2012, he was a project manager for R&D programs in grid operations, planning, and renewable integration with the Electric Power Research Institute (EPRI) in Palo Alto, California. At EPRI, Dr. Sun led the task force and project set on cascading failures, controlled separation, and power system restoration in 2008 to 2010. Earlier, he was a research associate at Arizona State University in Tempe and a postdoctoral fellow at the University of Western Ontario in Canada. Dr. Sun received the U.S. NSF CAREER Award in 2016. His other awards include three IEEE PES Best Conference Papers Awards, a 2016 CRSTT Most Valuable Players Award by U.S. DOE/NASPI, two Professional Promise in Research Awards by the College of Engineering, UTK, the 2009 EPRI Chauncey Award for contributions to "Advanced Tools for Reliable Operation and Robust Planning" and the 2008 EPRI Technology Innovation Excellence Award for "establishing EPRI as a thought leader in cascading failures of power grids". Dr. Sun has served as an associate editor with IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Open Access Journal of Power and Energy, and IEEE Access. He co-edited the book Power System Control under Cascading Failures: Understanding, Mitigation and System Restoration (Wiley-IEEE Press, 2018). Dr. Sun has published more than 20 IEEE Transaction papers on modeling, prevention, and mitigation of cascading failures, and holds two patents in this field.

Introduction.- Challenges in Risk Assessment, Modeling, and Simulation of Cascading Failures.- Industrial Practices and Criteria Against Cascading Failures.- Modeling of Cascading Failures and Blackouts Using Outage Data.- Interaction Models for Analysis and Mitigation of Cascading Failures.- Probabilistic Analytics on Cascading Failures.- Modeling Cascading Failures in Power Systems: Quasi-Steady-State Models and Dynamic Models.- Multi-Timescale Modeling, Risk Assessment, and Mitigation of Cascading Failures.- Quasi-Steady-State Simulation of Cascading Failures Considering Frequency.