Global Sensitivity Analysis Workflow Support to the EV Fleet Recharge Optimization Use Case

The fleet of Electric Vehicles is part of the Smart Grid ecosystem. The EV recharge process and its mathematical modeling is an important component that impacts on the stability and the security of energy supply. Global Sensitivity Analysis support tools are used to measure the relative importance of the inputs contributing to produce the model's outputs. Recently, the energy flows being exchanged between Smart Grid and an EV fleet are part of the Transactive Energy Control scenario in which an economic incentive becomes an impacting parameter to investigate further because it can produce a substantial behavioral change. In this article the authors discuss about the experimental workflows used to support the impact assessment studies and about the role of Sensitivity and Uncertainty Analysis tools helping to optimize the EV fleet recharge processes.