Research on the charging and discharging scheduling of electric vehicles driven by the carbon flow of the power system

With the urgent global need to address climate change, the issue of carbon emissions has garnered increasing attention. To effectively address the carbon reduction issue in the charging and discharging scheduling model of electric vehicles, this paper proposes an optimization model for the charging and discharging scheduling of electric vehicles driven by the carbon flow of the power system. Firstly, an optimal power flow calculation model with generation cost as the objective function is constructed at the upper level. Based on the optimal power flow results, carbon flow is calculated and used to determine carbon prices. Then, at the lower level, an electric vehicle (EV) charging and discharging dispatch optimization model is established with the charging and discharging cost of EV users as the objective function. Finally, the optimized results from the lower level are input as parameters into the upper-level model to update the power flow and carbon flow results. The model is applied to a 6node system for case analysis. The results demonstrate that the proposed model in this paper has significant effects in reducing and quantifying carbon emissions in the charging and discharging scheduling of electric vehicles.