Plug-in EV charging impact on grid based on vehicles usage data

In the next future plug-in electric vehicles (PEVs) will emerge widely in city areas so that distribution grid will be largely impacted by simultaneous EVs charging events. Thus, in order to estimate the required power system upgrades and to develop optimal strategies for grid-to vehicle (G2V) and vehicle-to-grid (V2G) services management, it is fundamental to assess the grid impact of future PEV integration in real world scenarios. In this paper, we analyse parking data collected as part of a European project on sustainable mobility in order to evaluate the amount of vehicles coming to parking areas in each hour of the day and to identify common patterns during different time periods. Then, we carry out several Monte Carlo simulations taking into account the variable PEVs state of charge (SoC) and the incoming vehicles patterns. Simulation results allow us to estimate PEVs' daily charging power and energy required to the grid by vehicles in specific time periods, characterized by different parking areas occupancy. We show the effectiveness of the proposed analysis and the obtained results in the final section of the paper.