基于双层优化算法的电动汽车有序充电策略研究

Research on Ordered Charging Strategy of Electric Vehicle Based on Double Layer Optimization Algorithm

基于大规模电动汽车无序充电给电网带来的不利影响,首先分析了有序充电控制的可行性,建立了有序充电控制目标函数和约束条件模型,通过合理分配控制电动汽车的充电时间,避免由于充电负荷并网引起的"峰上加峰"现象;然后提出了基于动态规划的双层优化解算策略求解电动汽车的有序控制问题,外层使用动态规划方法进行求解,内层对每个电动汽车的多种充电方案进行选择,找出最好的充电方式;最后通过实例分析验证了双层优化解算策略的合理性。

In order to alleviate the adverse effects of grid discharges caused by large-scale electric vehicles,the feasibility of ordered charging control was analyzed in this paper,and the objective function and constraint condition model of ordered charging control were established.By rational distribution and control of the charging time of electric vehicles,the“peak plus peak”caused by the charging load was avoided.Then a twolevel optimization solution strategy based on dynamic programming was proposed to solve the problem.In order to control the order of electric vehicles,the outer layer utilized the dynamic programming method to solve the problem.The inner layer selected various charging schemes for each electric vehicle to find the best charging mode.Finally,the rationality of the two-layer optimization solution strategy was verified by the case analysis.