This NSF CAREER project aims to provide the theoretical foundation of aggregating and disaggregating nodal generation capacity, flexibility, and information, which will allow exploiting the full potential of distributed energy resources and electrified transportation in future decarbonized power grids. The project will transform the conventional energy and ancillary service co-optimization-based power grid operation scheme into a novel capacity-flexibility dispatch and redispatch control framework. This will be achieved by converting existing resource planning problems with system-wide requirements into granular control problems with multi-scale, multi-domain nodal requirements. The intellectual merits of the project include developing nodal demand, capacity, flexibility composite models and computationally efficient aggregation algorithms with guaranteed characteristics under uncertainty. The broader impacts of the project include promoting the integration of research and education for students with varied backgrounds. Pre-college and undergraduate students will benefit from resulted summer research programs, workshops, capstone projects, and open-access curriculum materials. If successful, this project will also provide power system operators with technology advancements to integrating large-scale renewable energy and enhancing grid resilience. Uncertainties by fast-growing penetration of distributed energy resources, proliferation of electrified transportation, and clim