As the world move toward 100% renewable and decarbonized grids, power systems are becoming highly complex and variable. Digital twins provide the real-time intelligence required to balance renewable variability, storage, and demand. Traditional methods of prototyping power converters and grid systems are costly and time-consuming. Virtual prototyping allows engineers to test, validate, and optimize designs before physical implementation, reducing risks and costs. Increasing loads, cyber threats, and climate-related disruptions require predictive and proactive maintenance. Digital twins enable early fault detection, system health monitoring, and recovery strategies, making power systems more reliable. Digital twins are at the core of Industry 4.0 for power systems, integrating IoT sensors, big data, and AI for real-time optimization. Digital twins help reduce energy waste, extend equipment life, and optimize renewable energy use. This aligns directly with UN Sustainable Development Goals (SDG 7: Affordable and Clean Energy, SDG 9: Industry, Innovation, and Infrastructure, and SDG 13: Climate Action). Utilities, industries, and governments worldwide are investing heavily in digital twin research and applications. In the same way, Power converters and inverters are the building blocks of renewable energy systems, EVs, and smart grids. Digital twins allow engineers to prototype converters virtually, test different topologies, and optimize performance without multiple physical prototypes, reducing cost and development time. Devices like IGBTs, MOSFETs, and GaN/SiC components face thermal stress, switching losses, and aging. Digital twins can predict device degradation and failure by coupling real-time sensor data with physics-based models, ensuring higher system reliability. With digital twins, AI/ML can be trained on virtual data to develop smart controllers for converters, grid-forming inverters, and FACTS devices, accelerating the move toward autonomous power systems. The aim of this special session is to provide a global platform for researchers, industry experts, and policymakers to share knowledge, innovations, and applications of Digital Twins and Virtual Prototyping in Power Electronics and Power Systems. It seeks to advance discussions on design optimization, real-time monitoring, predictive maintenance, and system resilience, thereby accelerating the digital transformation of the energy sector towards smarter, sustainable, and more reliable power infrastructures. The focus will be on showcasing emerging tools, simulation platforms, and AI-driven techniques that enable faster prototyping, predictive modeling, and optimization of power converters and grid systems. This session will explore how digitalization can contribute to renewable integration, sustainable energy solutions, and resilient smart grids, aligning with global clean energy goals. This session will strengthen the conference's core themes by increasing the visibility of virtual prototyping and digital twins for the research areas such as Digital twin architectures for converters, drives, and power devices, Virtual prototyping for high-efficiency inverters, DC–DC converters, and FACTS devices, Hybrid energy storage systems (battery + supercapacitor) using digital twins. Real-time hardware-in-the-loop (HIL) simulation for power electronics, AI/ML-enabled predictive maintenance in digital twin environments, Cyber-physical security in digitalized energy systems, Applications in renewable energy integration, HVDC systems, and microgrids.