本文提出了一种电动汽车充电站的配电网协同规划方法，其中考虑了分时充电电价激励下充电行为的改变对规划的影响，利用排队论优化配置充电机，采用双层规划方法体现充电站与配电网规划的协同性：上层模型以年社会综合效益最大为目标对充电站定容，下层模型以配电网规划总成本最小为目标对充电站选址。通过遗传算法对双层模型进行求解。算例分析验证了规划方法和算法的有效性，仿真结果可以看出考虑了不同充电行为的规划方案能够更为合理的配置资源，同时有效地提高了经济效益。%A coordinated planning for electric vehicle charging stations and distribution network is proposed in this pa⁃per,in which the impact of charging behavior on planning is considered with the incentive of time-of-use charging price. Queuing theory is used to optimize the deployment of charging devices,and coordinated planning is realized by bi-level programming method:the upper-level model aims to maximize the comprehensive yearly social benefit to determine the capacities of charging stations,while the lower-level aims to minimize the total planning cost of distribution network to determine the locations of specific charging stations. Moreover,the bi-level optimization model is solved by genetic algo⁃rithm. A case study verifies the validity of the proposed method and solution algorithm. Simulation results show that the consideration of different charging behaviors in planning can lead to more reasonable deployment of resources ,which ef⁃fectively improves the economic benefit.
展开▼
