This Major Research Instrumentation (MRI) award will support the acquisition of a hierarchical testing framework to enable component-level and system-level validation of power and energy systems at the University of Michigan-Dearborn (UM-Dearborn). This state-of-the-art instrumentation will significantly advance multidisciplinary research, education, and training in electrical, computer, robotics, mechanical, and industrial engineering. It will offer broad access to faculty and students, delivering hands-on experience with cutting-edge technologies, while also benefiting external collaborators from academia and industry across Metro Detroit. The framework will strengthen UM-Dearborn’s regional and national impact by accelerating innovation in smart grids, energy storage, electric vehicles, and power electronics. The hierarchical framework will enable comprehensive testing from individual components to full system integrations, supporting rigorous design validation and the development of advanced control and optimization algorithms. It will bridge the gap between simulation and real-world deployment, producing reliable solutions that foster trust among key regional industry partners. Furthermore, the framework supports the incorporation of novel machine learning algorithms into power and energy research by producing rich datasets for model verification, thereby improving system reliability and stability. As a shared, multi-user platform, it promotes collaborative projects a