面向多个电动汽车换电站的有序充电控制  

Optimal control strategy for multi EV swapping stations

作　　者：张栋[1] 彭佩佩[2] 江星星[2] 许晓慧[2] 

机构地区：[1]南京南瑞继保电气有限公司,江苏南京210096 [2]中国电力科学研究院,江苏南京210096

出　　处：《应用科技》2017年第1期45-51,共7页Applied Science and Technology

基　　金：国家科技支撑计划项目(2013BAA01B02);中英国家自然科学基金项目(51361130151)

摘　　要：如何采用合适的控制策略对换电站内电池进行有序充电,是非常重要且需要迫切解决的问题。针对单向充电方式,建立相应的电动汽车换电站有序充电数学模型,以优化电网负荷曲线为目标,综合考虑用户的更换电池需求、电池组充电特性等约束条件,根据问题维数高的特点,在基本粒子群算法的基础上加以改进,采用协同粒子群整数规划算法对模型进行求解。基于MATLAB平台,通过仿真算例验证了单向充电方式下有序充电控制策略用于削峰填谷、优化电力负荷曲线的有效性。With the development of electric vehicle（ EV） and smart grid,it appears to be an inevitable trend to control the charge of batteries in the battery swap stations,which can reduce the growing load peak and off-peak difference and save the power system operation cost. It is necessary to find a proper charging control strategy of the batteries in the battery swapping stations. As for the unidirectional charging pattern,a sequential mathematical charging model on the battery swapping stations was established to shift peak and fill valley,with optimizing the load curve of power grid as a target,a user＇s demand for replacing battery and the charging properties of batteries were comprehensively considered. An improved particle swarm optimization（ PSO）,i.e. a cooperative PSO for integer programming was applied to solve this high-dimensional mathematical model. Three simulation examples based on MATLAB shows the effectiveness of the model and its solution algorithm.

关 键 词：电池换电站 荷电状态 电动汽车 有序充电 削峰填谷 

分 类 号：TK8[动力工程及工程热物理—流体机械及工程]