Abstract:

This study proposes a multi-objective electric vehicle (EV) charging scheduling model, aiming at minimizing both the peak-valley load difference of the power grid and the total charging cost of EV users. Two modes with different charging power and tariff schemes are investigated for EVs with urgent and unurgent charging demand, respectively. A case study is carried out with 100 EVs under home and public charging mode to demonstrate the effectiveness of the proposed model. Moreover, 200, 300, and 500 EVs are considered to investigate the influence of number of EVs further. The proposed multi-objective charging scheduling model can benefit both the power grid and the EV users since it can reduce not only the impact of EVs on the stable and safe operation of the power grid but also reduce the charging cost of EV users. It also shows that the number of EVs does not significantly affect the reduction ratio of peak-valley load difference and total charging cost. But EV users’ charging behavior affects the effectiveness of the coordinated charging scheduling model. The results of this study can better support the operation of power systems with high penetration of EVs and the sustainable development of the EV industry.