Title: Nonlinear Modal Decoupling: a new approach to real-time power system stability analysis and control
Abstract: With the increasing penetration of IBRs, a power system can exhibit more complex dynamics such as nonlinear oscillations, near-resonances and unanticipated instabilities. Conventional small-signal and transient stability analyses will no longer be adequate. For real-time stability analysis and control of a future power system modeled by a network of many nonlinear oscillators, this talk introduces a new methodology named “Nonlinear Modal Decoupling” that inversely constructs as many decoupled nonlinear oscillators as the system’s oscillation modes of interests. Such decoupled oscillators together provide a fairly accurate representation of the system’s stability and nonlinear oscillatory behaviors under both small and large disturbances. Each decoupled oscillator, although nonlinear, has only one degree of freedom and can easily be analyzed and controlled using, e.g., a Lyapunov’s direct method to ensure the stability of the original system at the corresponding mode of the oscillator. When any oscillator foresees a transition from sustained oscillation to instability in real time from wide-area measurements, a proposed IBR-based distributed controller can quickly stabilize and damp the system.
Bio: Kai Sun is a professor with the Department of Electrical Engineering and Computer Science in the University of Tennessee, Knoxville. He received his Bachelor’s Degree in Automation in 1999 and his Ph.D. degree in Control Science and Engineering in 2004 both from Tsinghua University in Beijing. Before joining the university, Dr. Sun was a project manager with the Electric Power Research Institute in Palo Alto, California from 2007 to 2012 for R&D programs in the area of grid operations, planning and renewable integration. Earlier, he worked as a research associate at Arizona State University in Tempe and a postdoctoral fellow at the University of Western Ontario in Canada. Dr. Sun has served in the editorial boards of IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Open Access Journal of Power and Energy and IEEE Access. He received the EPRI Technology Innovation Excellence Award in 2008, EPRI Chauncey Award in 2009, NSF CAREER Award in 2016, NASPI CRSTT Most Valuable Players Award in 2016 and three Best Papers Awards by IEEE PES General Meetings. His research areas include power system dynamics, stability and control.
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