Data-Based Stability Assessment of Power Grids without Models: Application of Koopman Operator Methods

摘要

We present a data-based approach to stability assessment of power grids without models. This approach is enabled by Koopman mode analysis for nonlinear dynamical systems, which detects an instability based on the properties of the point spectrum of the Koopman operator. We apply the technique to data on physical power flows sampled from the 2011 Arizona-Southern California grid outage and successfully detect unstable power flow patterns that govern the complex dynamics occurring during the accident.