Digital Twin Implementations for Subsystems of Turbine Generators and Synchronous Compensators

The increasing penetration of distributed energy resources, such as photovoltaic systems, electric vehicles, and heat pumps, places a greater emphasis on the importance of rotating machines like synchronous condensers and turbogenerators for maintaining grid stability. As a result, it is essential to monitor these assets effectively and generate actionable insights from their operational data. Advanced data analytics and machine learning play a vital role in supporting online monitoring, diagnosis, and anomaly detection for these critical machines.