Methodology for optimizing the number of electric vehicles deployed under a smart grid

One of the major sources of greenhouse gasses (GHG) is the transportation sector. Electrification of transportation is generally considered as the optimal solution for decreasing GHG emissions of the transportation sector. Although there are various obstacles for the deployment of electric vehicles (EVs), unavailability of charging infrastructure is the biggest obstacle. In this paper, a methodology is proposed for the estimation of the optimal number of EVs that can be deployed under a given smart grid. Monte-carlo simulations and linear programming are used for the estimation. The methodology is applied to calculate the optimal number of EVs that can be deployed under a high-rise building in Singapore. The method is validated using load demand data of 5 years, load model of EVs and EV load scheduling. The cost-benefit analysis for the installation of charging stations in buildings is also discussed by varying different parameters.