Multi-objective Charging Scheduling Model for Electric Vehicles Considering Urgent Demand Under Different Charging Modes

This study proposes a multi-objective electric vehicle (EV) charging scheduling model aiming at minimizing both the peak-valley load difference of power grid and the total charging costs of EV users. Two scenarios with different charging power and tariff schemes are investigated for EVs with urgent and unurgent charging demands. A case study is carried out with 100, 200, 300 and 500 EVs under home and public charging mode to demonstrate the effectiveness of the proposed model. In terms of peak-valley load difference and total charging costs, the proposed method can achieve a greater reduction rate in home charging mode than in public charging mode, except when the scale of EV is 100. Difference of coordinated charging method and uncoordinated charging method in total charging costs appears to be much lower than it in peak-valley load difference. The proposed multi-objective charging scheduling model can benefit both power grid and EV users, since it can not only reduce the impact of EVs on the stable and safe operation of power grid but also reduce the charging costs of EV users.