Abstract : Digital Twin (DT) technology has rapidly evolved into a transformative innovation bridging the physical and virtual worlds through real-time data integration and simulation. Initially applied in aerospace and manufacturing, DTs are now extensively employed in power electronic systems (PESs) to enhance modeling accuracy, predictive maintenance, and operational efficiency. This study explores the implementation of DTs within power electronics, emphasizing their role in simulation, health monitoring, and performance optimization. The findings reinforce the potential of DT-based frameworks in achieving high-fidelity virtual representations that enable intelligent control, fault prediction, and optimized performance in power electronics applications.