SPRING: STABILITY PREDICATION FOR IBR-PENETRATED GRIDS ENABLED BY DIGITAL TWINS THIS PROJECT AIMS TO DEVELOP AND DEMONSTRATE ADVANCED TOOLS FOR IBR POWER PLANTS AND UTILITIES SO THAT GRID OPERATORS ARE AWARE OF WIDEBAND INVERTER-BASED RESOURCE (IBR)DYNAMICS IN REAL TIME AND HAVE THE CAPABILITY TO PREDICT WHAT COULD HAPPEN. THESE TOOLS WILL ENABLE REAL-TIME ESTIMATION OF GRID STRENGTH AND INERTIA, DYNAMIC STATE ESTIMATION, STABILITY PREDICTION, EVENT ANALYSIS AND REPORTING, AND AUTOMATIC OPERATION TO EFFECTIVELY MITIGATE STABILITY RISKS. THIS PROJECT WILL DELIVER (1) EFFICIENT DATA COLLECTING, PROCESSING, AND STREAMING SYSTEMS CAPABLE OF CAPTURING FAST DYNAMICS AND TRANSMITTING HIGH-RATE MEASUREMENTS, (2) REAL-TIME MONITORING TOOLS, (3) DIGITAL TWIN-ENABLED STABILITY PREDICTION TOOL TO PREDICT WHAT COULD HAPPEN, AND (4) MITIGATION MEASURES FOR IBR DYNAMICS.