Impact of EV charging on the electric load of smart buildings and energy communities

The paper presents the sizing and profiling of charging systems for electric vehicles integrated into a smart grid in the town of Campobasso, in Molise. After having described and examined the main variables that characterize the system, the work focuses on the profiling of the electrical power absorbed by the building and the loads deriving from the charging stations of electric vehicles. The intensive use of software (especially MATLAB) and databases available online has been essential for the analysis of the random and stochastic values of the model developed. 4 different scenarios are studied, varying according to the number of charging electric vehicles. These scenarios are analyzed for three different typical days of winter, summer and mid-season. The different scenarios are compared qualitatively and quantitatively through the introduction of specific KPIs, which indicate the value of the power and the energy consumption of each specific asset, as can be seen in the results. Finally, various hypotheses are proposed regarding the integration of a storage system and the shifting of electric vehicles charges, for a more efficient energy exchange between the building and the network.