Large-Scale Modeling of Grid-Connected Electric Vehicles

This paper presents a methodology for modeling the load behavior of electric vehicles. This information is needed to make a more accurate prediction of the technical potential of electric vehicles which might be used in the future as dispersed energy storages or controllable loads. For this purpose, a simplified stochastic model is established based on nonhomogeneous semi-Markov processes. This model is capable of describing the grid connectivity of electric vehicles over the period of one day. In addition, it provides information about the driven distance and the state of charge. This makes it possible to generate information about the load behavior of the vehicles at different times and locations. The fundamentals of the model are given in this paper as well as the basic results. As proof of validation, a comparison between the results and real data are presented. Finally, a synthetic load profile is generated based on the proposed model.