Abstract: This paper proposes a digital twin (DT) based approach to improve dynamic state estimation (DSE) in power electronics-dominated grids (PEDGs), ultimately contributing to a more reliable, ...
Abstract: Power networks are vital to society, yet service outages and faults can have devastating consequences. This study introduces a novel integration of machine learning and data augmentation ...