华电技术 ›› 2018, Vol. 40 ›› Issue (6): 19-22.

• 研究与开发 • 上一篇    下一篇

基于蒙特卡洛模拟的电动汽车充电负荷预测

  

  1. 银川能源学院电力学院, 银川〓750100
  • 出版日期:2018-06-25 发布日期:2018-08-21

Charging load prediction of electric vehicles based on Monte Carlo simulation

  1. Department of  Electricity,Yinchuan Energy Institute,Yinchuan 750100,  China
  • Online:2018-06-25 Published:2018-08-21

摘要:

主要对不同类型电动汽车集聚充电时所产生的负荷进行相应预测。纵观中国电动汽车的发展状况,根据不同的用途,分为4大类。分别是电动公交车、出租车、公务车、私家车。不同类型电动汽车所对应充电特点、充电方式以及充电时段都不相同,采用蒙特卡洛方法来模拟抽取起始荷电状态(SOC)、起始充电时间。计算4种电动汽车的充电负荷,应用C++语言仿真模拟对应负荷特性曲线,并计算得到总体负荷曲线。通过分析总体负荷曲线的特征,得出未来电动汽车充电负荷的整体趋势,将会对电动汽车的迅速发展建设提供指导性意见。

关键词:

Abstract:

Prediction is made mainly according to the load generated by charging of various types of electric vehicles in group. Based on the current state of the development of China’s electric vehicles, electric vehicles are divided into four categories on the basis of purpose which are electric buses, electric taxis, electric official cars and electric private cars.Different types of electric vehicles have different charging characteristics, charging methods and charging time. The initial state of charge (SOC) and the initial charge time are extracted by using the Monte Carlo simulation method. The charge loads of four types of electric vehicles are calculated and the corresponding load characteristic curve is simulated in C++ language, where then overall load curve is obtained. By analyzing the characteristics of the load curve, the overall trend of electric vehicle charging load in the future is obtained, which will provide guidance for the rapid development and construction of electric vehicle.

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