Multi-Objective Orderly Charging Strategy for Electric Vehicles Based on Dynamic Time-of-Use Pricing

Large-scale disorderly charging of electric vehicles will cause a sharp surge in peak load, which will in turn affect the safe and stable operation of the power system. Time-of-use electricity prices have become an effective measure to reduce peak loads and fill valleys and improve the efficiency of power resource utilization. Since the existing time-of-use electricity price period division is relatively fixed and it is difficult to match the supply and demand differences of the power system, this paper proposes an orderly charging strategy for electric vehicles based on dynamic time-of-use electricity prices to transfer load demand from peak hours to valley hours. This paper takes the charging and discharging price of electric vehicles as the decision variable, uses the dynamic time-of-use electricity price mechanism to guide the charging decision of electric vehicles, takes the user charging cost and the minimum load peak-valley difference as the objective function, establishes an orderly charging scheduling model for electric vehicles, and gives the optimal scheduling strategy. The simulation results show that the proposed orderly charging strategy can reduce user costs by 4.68%~11.99%, and the peak-valley difference of distribution network load can be reduced by 8.01%~50.53%, achieving a "win-win" situation for the power grid and the user side.