电动汽车换电站有序充电调度策略研究  

Research on dispatching strategy for coordinated charging of electric vehicle battery swapping station

作　　者：田文奇[1] 和敬涵[1] 姜久春[1] 牛利勇[1] 王小君[1] 

机构地区：[1]北京交通大学电气工程学院,北京100044

出　　处：《电力系统保护与控制》2012年第21期114-119,共6页Power System Protection and Control

基　　金：国家高技术研究发展计划(863计划)(2011AA05A108);中央高校基本科研业务费专项资金(2011JBM111)

摘　　要：大规模电动汽车无序充电行为会对电网经济运行造成影响,迫切要求实现有序充电技术。根据电动汽车换电站特点,提出了以换电站充电功率为控制对象的有序充电调度策略,建立不同目标函数的调度策略数学模型,并采用粒子群算法求解,得到次日优化充电计划。基于某地区负荷曲线进行算例仿真,验证了算法的有效性,比较了不同优化目标的调度策略对负荷曲线的影响,分析了优化目标函数值随换电站容量的变化趋势。结果表明,提出的换电站有序充电调度策略能够有效地减小电网峰谷差,提高负荷率,起到平稳负荷波动的作用。Large-scale disordered charging behavior of electric vehicle will have a serious impact on the grid, so coordinated charging technology is urgently required to be achieved. Based on characteristics of EV battery swapping station, the coordinated charging dispatching strategy for the control of battery swapping station charging power is proposed. A mathematical model of dispatching strategy based on different objective functions is established and solved by particle swarm optimization （PSO） to get the optimized charging plan of next day. A simulation based on an area＇s load data is made to show effectiveness of the algorithm. The effect of dispatching strategy for different objective functions on load curve is compared. The changing trends of the objective function value with battery swapping station capacity is analyzed. The results show that the proposed battery swapping station dispatching strategy for coordinated charging can not only lower the peak-valley difference, but also improve the load factor and achieve smoother load profile .

关 键 词：电动汽车 换电站 有序充电 调度策略 粒子群算法 

分 类 号：U469.72[机械工程—车辆工程]