New stability framework predicts grid oscillations from renewable energy

As renewable energy integration accelerates, power systems are increasingly dominated by converter-interfaced generation. This shift introduces multiple oscillations that can trigger cascading disconnections and damage generators. Traditional participation factor (PF) analyses, which relate oscillatory modes (eigenvalues) to controller state variables, are effective but limited to fixed operating points—they cannot capture the interaction reconfigurations that occur after a perturbation.

To address this, Jihun Kook and Jung-Wook Park (Yonsei University) established an interaction sensitivity framework formulated in perturbation space. This framework uncovers how modes and states respond to perturbations, providing analytic expressions and physically interpretable mechanisms. It reveals causal relationships beyond conventional stability analysis, showing why specific control adjustments improve or degrade stability. The formulation provides a general analytical basis for understanding perturbation-driven interaction reconfigurations in high-dimensional dynamical networks described by state-space equations, supporting advanced controller design in complex systems like modern power grids.