The goal of this project is to develop the grid operator analytics and assessment tools for inverter-based resources dominated grid (GOAAT-IBR)

The project aims to develop a cloud-based grid health assessment and risk assessment tool to improve the situational awareness of large-scale transmission interconnected inverter based resources (IBRS). As IBR deployments increase, utilities will need new tools that can detect and be used to mitigate system impacts. GOAAT-IBR is a suite of tools and applications designed to run on a commercially available, state-of-the-art time series data analytics platform for electric utilities. Specifically, we will 1.configure the cloud-based time series data and analytics platform to ingest both streaming and historical data archives from different sources such as the supervisory control and data acquisition (SCADA) system, phasor measurement units (PMUS), intelligent electronic devices (IEDS), devices capable of streaming point-on-wave (POW) data, power quality meters (PQM), digital fault recorders (DFR), PI historian, and weather forecast services. GOAAT-IBR will provide the analytical foundation and secure environment in which the GOAAT-IBR applications will run. 2.research and develop data analytic techniques tailored for enhancing data-driven situational awareness of IBR-dominated power systems. Three target use cases are 1) real-time effective inertia estimation, 2) grid strength (short circuit level) estimation, and 3) IBR control-driven sub-synchronous oscillation (SSO) detection and source location. 3.design and develop advanced visualization tools to seamlessly convey actionable and interpretable information indicating system health and risk to operators. 4.develop data analytics applications to support disturbance data spatial-temporal correlations, automated event analysis, and automatic report generation (not only for system events but even for hardware sensor health monitoring). 5.develop decision support system (DSS) application to deliver actionable recommendations to operators to mitigate IBR abnormal behaviors and oscillations. 6.set up rtds hardware-in-the-loop (HIL) simulation to prototype and validate all developed applications. As a field demonstration, GOAAT-IBR will be demonstrated with the utility with field sensor streams. 7.develop a commercialization and implementation roadmap for GOAAT-IBR.