Development of stochastic models for assessing the impact of Electric Vehicles in distribution grids

The possibility of large-scale deployment of Electric Vehicles raises significant issues for electric utilities. It is recognized that for drivers EVs save money, reduce emissions, and increase energy independence and fun to drive. Certainly, EVs can create benefits for utilities if their integration is properly done. This paper presents an extensive study on the impacts of EVs on the distribution networks based on stochastic models. For this purpose, the following aspects are considered: ownership distribution of recent EV models, driving patterns, EV penetration, charge timing and charge characteristics. The proposed stochastic model is applied to an urban distribution feeder of a large Canadian power utility. Two EV charging scenarios, uncontrolled and controlled charge, are simulated and analyzed.