负荷波动下电动汽车充电站储能配置方法

Energy Storage Configuration Method of Electric Vehicle Charging Station under Load Fluctuation

优化配置电动汽车充电站的储能,可以降低充电站系统的负荷波动、提高输出功率、降低成本。为此,提出考虑负荷波动的电动汽车充电站储能配置方法。通过Copula函数分析电动汽车充电负荷与光伏出力之间的相关性,建立联合出力概率密度函数,获取两者的联合概率密度图,分析电动汽车充电站的负荷波动情况。将最小化充电站成本作为目标,建立电动汽车充电站储能配置目标函数,引入人工蜂群算法,在相关约束条件的基础上获得电动汽车充电站储能配置的最优方案。实验结果表明,经所提方法配置后,充电站系统的负荷明显降低,且不存在失效负荷,输出功率得到提升,成本有所减少,验证了所提方法具有良好的储能配置效果。

In order to optimize the energy storage configuration of electric vehicle charging stations,reduce the load fluctuation,increase output power and reduce costs,this article put forward a method of energy storage configuration of electric vehicle charging stations under load fluctuation.Firstly,Copula function was used to analyze the correlation between electric vehicle charging load and photovoltaic output,and then a joint probability density graph between the two was drawn.Meanwhile,a joint output probability density function was constructed to analyze the load fluctuation of electric vehicle charging station.Secondly,the minimum cost was taken as the objective.Thirdly,an energy storage configuration objective function for electric vehicle charging station was established.Finally,the artificial bee colony algorithm was introduced to obtain the optimal solution for energy storage configuration of electric vehicle charging stations under constraint conditions.The experimental results show that after the proposed method is configured,the load of the charging station system is significantly reduced,and there is no failure load.The output power is improved,and the cost is reduced.This verifies that the proposed method has a good energy storage configuration effect.