Kai Sun 孙凯
Professor, IEEE Fellow
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This page lists and categorizes major research results of journal publications.
The traditional classification and methods on power system stability
that has been practiced for decades will no longer be adequate to
real-life dynamics and instability events in power grids with high
penetration of renewable distributed energy resources (DERs). Our
goal is to acquire an in-depth understanding in nonlinear modal
dynamics of a power grid as a nonlinear multi-oscillator system and
establish a new methodology named Nonlinear Modal Decoupling for improving
power system stability by wide-area measurements and coordination
control of DERs.
Real-time simulation is crutial to ensure power grid resilience against major disturbances. However, there is not much room for traditional numerical simulation to improve time performance. Leveraged by high-performance supercomputers, we are estabilising a new, semi-analytical approach for faster power system simulation in deterministic and stochastic manners to address increasing uncertainties in grid operations brought by renewables.
These efforts develop new models, simulation tools and control strategies to understand, prevent and mitigate cascading failures in interconnected power grids.
A major concern in grid operations is voltage instability, which will become more critical with the increasing penetration of intermittent DERs. Our research in this field develops new methods to improve online voltage stability assessment (VSA) and VAR control.