考虑参与电网辅助服务的电动汽车有序充电研究

Study on orderly charging of electric vehicles considering participating in grid ancillary services

中文关键词: 负荷平衡  蒙特卡罗模拟法  动态电价  有序充电  削峰填谷

英文关键词: load balance  Monte Carlo simulation method  dynamic electricity price  orderly charging  peak-cutting and valley-filling

中文摘要:

      分析电动汽车充电对电网产生的影响，主要研究对电网负荷平衡的影响。对电动汽车充电负荷建模，分析其用户出行等的时间概率分布，通过蒙特卡罗模拟法对电动汽车充电负荷需求进行计算，研究3 000辆电动汽车全天的充电需求时间分布。建立含光伏发电系统的区域供电系统优化模型，同时以动态电价为激励引导电动汽车进行有序充电，以参与电网辅助服务。以联络线交换功率波动乘积最小和充电成本最低为目标，并以其加权后的函数作为目标函数，结合4个约束条件，通过遗传算法求解模型，得到符合目标函数的最优充电方案。最终通过算例验证该模型能够实现平移负荷、削峰填谷的作用。

英文摘要:

      The impact of electric vehicles to power grid whencharging is analyzed, the main research is about the influence to the balance of power grid load. Then, the electric vehicle chargingload is modeled, and time probability distribution of users’trip isanalyzed, The demand for electric vehicle charging load is calculated by Monte Carlo simulation method, in order to study throughout the time distribution of 3 000 electric vehicles’charging demand,The optimization model of regional power supply system including photovoltaic power generation system is established. Meanwhile,dynamic electricity price is used as incentive to guide electric vehi-cles to carry out orderly charging, so as to participate in power gridancillary services. With the minimum power fluctuation product and the lowest charging cost, the weighted function is taken as the objective function, combined with the four constraints, the geneticalgorithm is used to solve the model, and the optimal chargingscheme is obtained. Finally, an example is given to verify that the model can realize the function of shifting load, cutting peak and filling valley.