With large-scale wind power connected into grid,the randomness and intermittence characteristics caused serious phenomenon of abandoned wind,and the rapid development of electric vehicles provides a new way for the accommodation of wind power.Considering the constraints such as the power balance of electric power system and the output of thermal and wind power,a unit dispatch optimization model was established in this paper which the objective functions are the maximum accommodation of wind power,the minimum load variance and the minimum cost of thermal power generation.According to the response of the load of electric vehicle to the charging price,the charging load of the electric vehicle is obtained,so the total load of the power system is obtained.Based on this,the model is solved by the method of step by step optimization.To achieve the linkage of wind and thermal dispatch,firstly,optimizing the output of wind power targeted the minimum load variance and maximum accommodation of wind power;then,optimizing the output of thermal power targeted the minimum cost of thermal power generation.Example results show that the implementation of timeof-use charging price for electrical vehicles can increase the accommodation of wind power,smooth the load curve and reduce the cost of thermal power generation.%随着风电的大规模入网,其间隙性和随机性导致弃风现象严重,电动汽车的快速发展为风电消纳提供了新途径.文章以风电消纳最多、负荷方差最小和火电机组发电成本最低为目标函数,综合考虑电力系统的功率供需平衡、火电机组和风电出力等约束条件,建立了基于分时充电电价的电动汽车消纳风电的机组调度优化模型.根据电动汽车负荷对充电电价的响应,得出电动汽车的充电负荷,进而得到电力系统总负荷,以此为基础采用分步优化的方法对模型进行求解.首先以负荷方差最小和风电消纳最多为目标,通过多目标遗传算法NSGA-Ⅱ对风电出力进行优化;然后以火电机组的发电成本最低为目标对火电机组的出力进行优化,达成风火机组的联动调度.算例结果表明,对电动汽车实行分时充电电价能够提升风电的消纳能力,平滑负荷曲线,降低火电机组的发电成本.
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