Placing parking lot of plug-in electric vehicles within a distribution grid considering high penetration level of photovoltaic generation

The main aim of this paper is to devise a stochastic approach based on Monte Carlo simulation to site and size a parking lot of plug-in electric vehicles within a distribution network. At first, considering parking lot arrival time, daily travelled distance and parking lot departure time of randomly selected private ICE vehicles, a probabilistic method to derive the load demand of a fleet of commuter plug-in electric vehicles is proposed. Probability density function of the aggregated load of the PEVs within each hour is estimated by applying the Monte Carlo simulation and then, the expected value of the hourly load demand is calculated. Afterwards, with aim of minimizing the power loss of the grid as well as the maximum voltage deviation of the nodes, siting and sizing of the parking lot is accomplished.