Physics-Informed Neural Networks (PINN) for Enhanced Power System Strength Assessment

Modern electric power systems are undergoing a profound transformation, primarily driven by the increasing integration of renewable energy sources such as wind and solar power. These renewable resources are typically connected to the grid through power electronic interfaces known as inverter-based resources (IBRs). This fundamental shift introduces new complexities for maintaining grid stability, particularly in "weak" grids where traditional synchronous generation is scarce. Conventional metrics like Short Circuit Ratio (SCR) are static and often fail to account for the complex, non-linear interactions during transients. More advanced indicators, such as Dynamic Stiffness (DS), offer a detailed perspective but are computationally intensive to calculate using traditional electromagnetic…