A Digital Twin for an Inverter-Based Resource Power Plant: Real-time data streaming unlocks situation awareness

This article presents a digital twin framework specifically designed for grid-tied inverter-based resource power plants, enabling real-time situational awareness and stability prediction. The framework integrates three key technologies: real-time data streaming, online parameter estimation, and real-time digital simulation with dynamic parameter updating. The interconnected system is abstracted using a Thévenin equivalent that can be estimated at real time, ensuring that the designed digital twin remains location-agnostic. The digital twin fulfills three core functions: estimating key grid parameters, replicating the physical system’s behavior, and predicting potential stability issues.