Project Grant 2153438

This $175,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a real-time framework for integrating electric vehicles with microgrids. The University of Florida will receive the funding to design an innovative machine learning algorithm for short-term load forecasting in microgrids, develop a cooperative game theory model to determine optimal charging and discharging profiles for electric vehicles based on vehicle and infrastructure constraints, and evaluate the proposed methods through hardware-in-loop experimental testbeds. The goal is to advance vehicle-to-microgrid technology by leveraging the flexible energy capacity of electric vehicles to meet the needs of microgrids according to predicted load profiles and the interests of involved stakeholders such as vehicle owners, charging stations, and microgrid operators. The two-year project aims to provide insights for future cyberinfrastructure design in integrated large-scale energy systems incorporating distributed energy resources like electric vehicles.