A systematic solution to quantify economic values of vehicle grid integration

Vehicle-Grid-Integration (VGI) supplies one of the potential benefit extensions for electric vehicles (EVs) to make use their parking time, which enables EVs provide grid services while still meeting consumer driving needs. However, costs, benefits and risks VGI remain unclear, limits development promote interaction between EV grid. In this study, we propose an integrated framework quantify utilize aggregate flexibility supply in electricity markets. The solution includes five sub-modules that cover end-to-end functionalities from individual energy consumption estimation final monetary values calculation providing services. Both wholesale market local level charging management are formulated optimization module. A predictive control algorithm is proposed allocate power real considering uncertainties dispatch signal travel behavior. Simulation results 10,000 indicate methods can significantly reduce system cost both retail market. Local tariff reduces by 24.4% compared uncontrolled charging. Wholesale show $691 $255 revenues be captured each ERCOT CAISO markets per year, although with a conservative assumption on battery throughput at 0.16$/kWh.