电动出租车功率需求影响因素随机过程分析与建模

Charging power demand of electric taxi modeling and influence factors analysis

电动出租车的充电功率需求将对电网产生一定影响。首先利用泊松过程得到充电开始时间的随机分布序列;其次利用初始SOC计算估算充电服务时间。然后利用充电开始时间、充电服务时间以及实测的充电功率曲线建立电动出租车功率需求模型。最后利用某重点示范电动出租车充电站的运行数据及充电开始时间和充电服务时间计算模型,得到电动出租车充电站一天内的充电功率曲线。建模的计算结果与实际充电站的功率曲线对比证明了模型的有效性。

With the accelerated pace of the electric taxi, the growing charging power demand will have certain influence on the grid. As a precondition of safety operation for power grid, studies on electric taxies＇ charging load model is also the theoretical basis of electric taxi charging. Firstly, based on the analysis of Poisson process, random sequence of charging start time is expressed ; then, the calculation model of electric taxi charging serving time is set up. Finally, charging power demand model of electric taxi is build. According to this model, electric taxi charging power curve within a day was calculated and presented with the operating data in a demonstration electric taxi charging station. The results of the simulation examples show that the modeling method of the charging power demand model is effective.