电动车参与调峰的碳减排潜力

Reduction Potential of Carbon Emission by Peak Shaving of EV

中国可再生能源高速发展,风电、太阳能的不确定性对电网储能要求日益提高,基于中国-TIMES模型与电动汽车储能调峰计算方法,分析电动汽车V2G技术在不同渗透率下对能源系统各部门碳排放的影响。提出使用蒙特卡洛模拟抽取荷电状态、充发电时段的调峰容量计算方法,将电动车按是否参与电网调峰进行分类,获取电动车各小时调峰容量。对电动车参与中国电力调峰进行分析计算,结果表明,电动车储能技术可以降低电力负荷峰谷差,从而缓解电网调峰压力,对减少中国碳排放总量具有一定贡献。

With the high speed development of China＇s renewable energy, uncertainty of the grid promotes the increasing of storage capacity. Based on the China-TIMES model and electric car＇s peak shaving model, this research analyzed the carbon emission of energy system under the impact of vehicle-to-grid technology with different penetration rate. It proposed to use Monte Carlo simulation to extract the state of charge and charging period. And it calculated the shaving capacity of electric cars by classification of different state of electric cars. Then it obtained the peak shaving capacity by hour. The analysis and calculation results show that：the electric vehicle energy storage technology has the ability to reduce the difference between peak and valley. Besides, V2 G technology can ease the pressure of carbon emission of China and it will contribute significantly to the goal of carbon emission.