分时电价背景下光伏出力园区电动汽车的有序充电策略

Orderly Charging Strategy of Electric Vehicle in PV Output Park Under Time-of-Use Price

以配电网负荷方差和用户充电费用最小为目标函数,提出一种分时电价背景下光伏出力园区电动汽车的有序充电策略。以多目标优化遗传算法对某一特定园区内电动汽车充电行为进行仿真分析,验证了所提策略在满足用户充电需求的条件下,能够合理规划峰谷充电时段以节约充电成本、降低峰谷差率以及负荷波动,有利于配电网的稳定经济运行。

Based on the load distribution network,the objective function is minimum variance and the user of charging,an ordely charging strategy for electric vehicles in photovoltaic output parks under the background of time-sharing price.The multi-objective optimization genetic algorithm is used to simulate and analyze the charging behavior of electric vehicles in the special park.It is verified that under the proposed strategy meeting the demand of user charge conditions,the reasonable planning of peak-valley charging time can save charging cost,reduce peak-valley difference rate and load fluctuation,which is beneficial to the stable and economic operation of distribution network.