Research on Orderly Charging Strategy of Electric Vehicles Considering Uncertainties of User Behavior

Under the requirement of environmental protection, electric vehicles (EVs) are becoming widely used and connected to the power grid on a large scale. Meanwhile, the disorderly EV charging behavior will cause a plethora of challenges for the power system. In other words, the capacity planning of the power grid cannot meet the charging demand of EVs on a large scale, especially for the penetration of fast chargers. In this paper, an orderly charging strategy is proposed based on the transformer power margin. Specifically, a targeted charging pricing mechanism is designed to guide the charging behavior of fast and slow chargers based on the difference in charging power. Moreover, the Monte Carlo simulation is adopted to obtain the randomness of EV owners' travel behavior. Finally, the proposed EV charging optimization scheme is solved by the particle swarm optimization method. The case study shows that the proposed orderly charging strategy can effectively alleviate the transformer burden, which provides references for EV charging orderly.