基于自编码器的电动汽车充电负荷研究

随着电动汽车的逐步推广,研究电动汽车充电负荷特性,既有利于充电站优化运行,又有利于电力系统安全稳定运行。根据电动汽车充电负荷的时空性,提出了一种基于自编码器的电动汽车充电负荷研究方法。基于NHTS数据集分析找出电动汽车充电负荷的时间分布规律。通过自编码器方法提取电动汽车出行里程和出行结束时间的特征。以此为基础计算出电动汽车到达不同目的地的概率,从而建立电动汽车充电负荷的时空特性模型。计算了每辆电动汽车的最短等待时间,统计负荷时考虑了时间误差,提高了充电负荷计算的精确性。最后,通过算例得到了地区内电动汽车的充电负荷,验证了所提出研究方法的可行性和准确性。

Research on the charging load of an electric vehicle based on autoencoder

With the gradual promotion of electric vehicles,research on the charging load characteristics of electric vehicles is not only conducive to the optimal operation of the charging station,but also conducive to the safe and stable operation of the power system.According to the time and space characteristics of the electric vehicle charging load,this paper proposes a research method based on an autoencoder.Based on the analysis of the NHTS data set,the time distribution law of the electric vehicle charging load is determined.The characteristics of electric vehicle travel mileage and travel end time are extracted by an autoencoder method.On this basis,the probability of an electric vehicle reaching different destinations is calculated,and the time-space characteristic model of electric vehicle charging load is established.The shortest waiting time of each electric vehicle is calculated,and the time error is considered when calculating the load.This improves the accuracy of the calculation of charging load.Finally,the charging load of electric vehicles in the region is obtained by an example which verifies the feasibility and accuracy of the proposed research method.