基于车辆行驶行为特性建模的电动汽车充放电策略与分析

发布时间：2018-03-03 14:43

本文选题：电动汽车　切入点：车辆行驶行为特性　出处：《电网技术》2014年09期 　论文类型：期刊论文

【摘要】：为分析电动汽车充放电对区域配电网的影响,减小充电负荷对电网的负面冲击,对离家时间、到家时间、每日行程个数和单个行程距离4个关键要素进行建模,建立了车辆行驶行为特性模型。基于行驶行为特性,通过两阶段优化模型,对电动汽车充放电代理商(aggregator)建立了考虑电池充放电寿命损耗的"最小费用?最小波动"(minimum-costleast-fluctuation,MCLF)的充放电策略。该方法的目标是在满足用户需求的基础上,减少充放电代理商的运营费用,并将充放电负荷波动降到最低。仿真实验结果验证了该方法的有效性,并且表明:当电池成本降至现阶段的1/4,放电电价提高到0.6元/kW?h,电动汽车参与对电网放电才会有显著的经济收益;谷电价时长为8 h可以有效减小电动汽车充电对电网造成的冲击。
[Abstract]:In order to analyze the effect of charge and discharge on the regional distribution network, reduce the negative impact of charge load on the power grid, and model the four key factors, such as the time of leaving home, the time of arrival, the number of daily trips and the distance of single stroke. The vehicle driving behavior model is established. Based on the driving behavior characteristics and through the two-stage optimization model, the "minimum cost" considering the battery charge and discharge life loss is established for the charging and discharging agent of electric vehicle aggregator. The aim of this method is to reduce the operating cost of charging and discharging agents on the basis of satisfying the needs of users, and to minimize the fluctuation of charge and discharge load. The simulation results show that the proposed method is effective. It is also shown that when the cost of the battery drops to a quarter of the current level, the discharge price increases to 0.6 yuan / kW? H, electric vehicle participation in the electric network discharge will have significant economic benefits, and the valley electricity price of 8 hours can effectively reduce the impact of electric vehicle charging on the grid.
【作者单位】：智能网络与网络安全教育部重点实验室(西安交通大学);
【基金】：国家自然科学基金资助项目(61221063,U1301254,61304212)~~
【分类号】：U469.72;TM910.6

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