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A Coordinating Model Between Electric Vehicle Charging Station Planning Based on Thermal Maps of Vehicle Flow Rates and Distribution Devices Planning

机译:基于车辆流速和分配装置规划的热贴图电动车充电站规划的协调模型

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Based on thermal maps of vehicle flow rates, this paper studies the optimizing method of charging stations’ capacity and location sets, to determining the classification information of the layout of the charging stations to be selected and the total charging capacity to be planned. Then, an optimal extended planning model of 10kV urban distribution network facilities was proposed based on the known classification information of the layout and total capacity of regional charging stations. Subsequently, considering that the above two models have a great impact on regional load imbalance, a coordinated planning model based on thermal maps of vehicle flow rates and distribution network facilities is proposed, which could be solved by double-level immune genetic algorithm. This model can solve the problem of regional load imbalance after the distribution devices and charging stations being connected at the same time. Finally, the effectiveness of the proposed model is verified by a coordinated planning analysis of practical charging stations and distribution network facilities.
机译:基于车辆流速的热映射,本文研究了充电站容量和位置集的优化方法,以确定要选择的充电站布局的分类信息以及要计划的总充电能力。然后,基于区域充电站布局的已知分类信息,提出了一个最佳扩展规划模型。随后,考虑到上述两种模型对区域负荷不平衡具有很大的影响,提出了一种基于车辆流速和分配网络设施的热图的协调规划模型,可以通过双层免疫遗传算法来解决。该模型可以在配送设备和充电站同时连接后解决区域负载不平衡问题。最后,通过对实际充电站和配送网络设施的协调规划分析来验证所提出的模型的有效性。

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