电动汽车虚拟储能可用容量建模

为实现对广域布点的电动汽车虚拟储能(electric vehicle virtual energy storage，EVVES)的合理调用，通过聚类划分参与EVVES服务的电动汽车类型，结合各类电动汽车车主的用车习惯(如日行驶里程、充放电规律、期望备用出行电量等)、市场对EVVES响应度的影响、可用储能容量冗余设计等多方因素，综合建立可供调度的虚拟储能容量估算模型；结合电力系统对储能参与系统紧急功率支撑、峰谷差调节以及平滑可再生能源输出等有偿辅助服务的技术需求，提出EVVES供需匹配依据。基于蒙特卡洛模拟方法，验证模型实时估算不同时段响应虚拟储能(virtual energy storage，VES)服务的可用容量的实用性，对后续开展EVVES的运营实践奠定了基础。

Electric vehicle virtual energy storage available capacity modeling

In order to efficiently implement the virtual energy storage dispatch of electric vehicles in a wide area, the article focused on the types of electric vehicles that respond to electric vehicle virtual energy storage (EVVES) services by clustering, combined with the use habits of all kinds of electric vehicle owners (such as daily driving mileage, charging and discharging rules, expected standby travel electricity, etc.), the impact of market on EVVES responsiveness, redundant design of available energy storage capacity and other factors, a virtual energy storage (VES) capacity estimation model was established. Combined with the technical requirements of power system for energy storage to participate in system services, such as emergency power support, smooth renewable energy output, UPS/EPS, etc., the matching basis of supply and demand was proposed. Based on Monte Carlo simulation method, the practicability of the model to estimate the available capacity of response VES service in different time periods was verified, which layed the foundation for the operation practice of EVVES in future.