换电生态下换电站电池配置及经济性研究

Research on Battery Allocation and Economy of Battery Swapping Station Under the Battery Swapping Ecosystem

随着新能源汽车换电模式应用试点启动,利用换电站电池的需求响应柔性特性及全网数量优势部分解决风光电供需错位问题成为可能。在此背景下,本文计及电池储能价值,基于“车-源-网”换电生态系统,设计“风-光-动力电池”和“风-光-动力电池-储能电站”混合储能模式,构建兼顾环境效益和经济效益的电池充电优化模型。基于蒙特卡洛算法预测换电需求,对北京市7月份某一天的风光出力数据进行仿真分析。结果表明,单一储能模式0.33C充电倍率、混合储能模式1C充电倍率,均具有较好的经济性。此外,混合储能模式的风光消纳率比单一储能模式高13%以上,更能积极推动换电生态系统正循环发展。

With the launch of the pilot application of new energy vehicle battery swapping mode,it is possible to use the demand response flexibility of the battery of the battery swapping station and the quantitative advantages of the whole network to partially solve the problem of the dislocation between the supply and demand of wind and solar power.Considering the energy storage value of the battery,based on the“vehicle-energy-network”battery swapping ecosystem,two energy storage modes and their optimization models of“wind-light-power battery”with power battery as the only energy storage equipment and“wind-light-power batterysuper large battery pack”are designed,and a battery charging optimization model that took into account both environmental benefits and economic benefits is established.The simulation analysis is conducted on the basis of the power changing demand predicted by the Monte Carlo algorithm and the solar output data in Beijing in July.The results show that the charging rate of single energy storage mode is 0􀆰33C,and the charging rate of mixed energy storage mode is 1C,both of which have good economy.In addition,the landscape absorption rate of the hybrid energy storage mode is more than 13%higher than that of the single energy storage mode,which can actively promote the positive cycle development of the electrical conversion ecosystem.