Charging infrastructure and plug-in of electric vehicle into power system

This paper shows the characterization of the public and private charging infrastructures to be used in the electric vehicle's batteries, and its influence into the power system in respect of the demand curve. In the first infrastructure was made the estimation of the demand curve in different scenarios, with the inclusion of the taxis fleet that are coming to Bogotá using a typical energy curve against the time throughout the day, in this way it was planted the best strategy of charging. In the second one, it was made a poll about the multifamily building's topology and the corresponding parking places, also it was got the values of demand energy in the respective buildings and the transformer power, and in that way it could be determinate the number of charging points that might be installed from simulations made on MATLAB TOOLBOX, applying Artificial Neuronal Networks (ANN).