【摘要】 为促进碳达峰和碳达标目标的实现，减少电动汽车充电的费用与对电网的影响，本文在对粒子群算法进行改进和构建电动汽车日出行模型的基础上，提出了适用于G2V和V2G两种充电模式的电动汽车用电优化策略并进行仿真验证。仿真结果表明，本文提出的电动汽车用电优化策略不仅能降低小区电费花销，而且能有效地改善小区负荷峰谷差并增加小区负荷曲线的平滑性。更多还原

【Abstract】 In order to promote the realization of carbon peaking and carbon compliance goals, reduce the impact of disordered charging of electric vehicles on the power grid, and reduce the charging cost of electric vehicles, on the basis of improving the particle swarm algorithm and building the daily travel model of electric vehicles, this paper proposes an optimization strategy of electric vehicle power consumption suitable for both G2V and V2G charging modes, and the strategy is verified by simulation. The simulation results show that the electric vehicle power optimization strategy proposed in this paper can not only reduce the electricity cost of the intelligent community, but also effectively improve the peak-to-valley difference of the intelligent community load and increase the smoothness of the load curve.更多还原