摘要
为分析不同功率电动汽车的无序充电过程,提出了基于多项式拟合和拉格朗日数乘法的电动汽车无序充电过程分析方法,获得了电动汽车充电负荷曲线以及相应的不同充电功率电动汽车负荷占比。为获得电动汽车的充电负荷曲线,根据已知数据采用多项式拟合的方法获得了电动汽车充电量与时间的关系,进而得到了不同时刻的电动汽车充电负荷曲线;为保证既能满足用户需求又能减少设备投资、降低电动汽车无序充电负荷的峰谷差,采用拉格朗日乘数法建立优化模型,求解得到了不同充电功率的电动汽车的占比情况。计算结果表明,10点电动汽车的充电负荷最大,交流1型、交流2型和直流型充电设备负荷所占比例分别为0.312、0.627和0.063。该分析方法可为电动汽车的充电负荷预测和电动汽车的并网运行奠定理论基础。
In order to analyze the disordered charging process of electric vehicles with different power,an analysis method of disordered charging process of electric vehicles based on polynomial fitting and Lagrange number multiplication is proposed.The charging load curve of electric vehicles and the corresponding negative load ratio of electric vehicles with different charging power are obtained.In order to obtain the charging load curve of electric vehicle,the relationship between the charging amount and time of electric vehicle is obtained by polynomial fitting according to the known data,and then the charging load curve of electric vehicle at different times is obtained.In order to meet the needs of users,reduce the equipment investment and reduce the peak valley difference of the disordered charging load of electric vehicles,the Lagrange multiplier method is used to establish the optimization model,and the proportion of electric vehicles with different charging power is obtained.The calculation results show that the charging load of 10 point electric vehicle is the largest,and the load proportion of AC1,AC2 and DC charging equipment is 0.312,0.627 and 0.063 respectively.The analysis method can lay a theoretical foundation for the electric vehicle charging load prediction and grid connected operation.
作者
郝越
HAO Yue(Shenzhen Power Supply Co.,Ltd.,Shenzhen 518000,China)
出处
《通信电源技术》
2019年第11期94-96,100,共4页
Telecom Power Technology
关键词
电动汽车
无序充电
多项式拟合
拉格朗日数乘法
electric vehicle
disordered charging
polynomial fitting
Lagrange number multiplication