CAJ | 학술논문

针对电动汽车入网特性具有较强空间随机性及时间随机性的问题，基于蒙特卡洛随机模拟法，随机抽取了调度区域内不同类型电动汽车的日行驶里程及充放电起始时间节点，提出了 V2G 系统实时功率容量预测模型。以上海地区为例，预测了一天24时段 V2G 系统实时功率容量，结合相关政策及统计数据分析并验证了 V2G 技术的可行性。总结了我国 V2G 技术的发展趋势。
침대전동기차입망특성구유교강공간수궤성급시간수궤성적문제，기우몽특잡락수궤모의법，수궤추취료조도구역내불동류형전동기차적일행사리정급충방전기시시간절점，제출료 V2G 계통실시공솔용량예측모형。이상해지구위례，예측료일천24시단 V2G 계통실시공솔용량，결합상관정책급통계수거분석병험증료 V2G 기술적가행성。총결료아국 V2G 기술적발전추세。
In order to solve the problems of randomness in both time and space which exist in the process of accessing the power grid for electric vehicles, based on Monte Carlo stochastic modeling method, we select randomly daily mileages and charging and discharging starting time of different types of electric vehicles, and propose a real-time power capacity forecast model in the V2G system. Taking the city of Shanghai as an example, we predict the real-time power capacity of V2G system in the 24 h one day, and validate feasibility of V2G technology with related policies and statistics analysis. Finally the development trends of V2G technology in China are summarized.