Suynchrophasor Data-Driven Investigation of Real-World Unstable Controller Dynamics

Rapid grid decarbonization and the deployment of Inverter-Based Resources (IBRs) have given rise to unforeseen and unwanted dynamics that conventional simulation fails to predict due to a lack of adequate asset models. This work applies measurement-driven analysis techniques, spectral analysis and system identification, to synchrophasor data to diagnose root causes of unforeseen dynamic behaviour across three specific cases. Case 1: Data Center UPS Instability