首页> 外文会议>Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion >OPTIMIZATION OF EXPANSION PLANNING OF ELECTRIC DRIVE VEHICLE INFRASTRUCTURE
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OPTIMIZATION OF EXPANSION PLANNING OF ELECTRIC DRIVE VEHICLE INFRASTRUCTURE

机译:电动驱动车辆基础设施扩展规划的优化

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This paper presents an optimization location model in order to minimize the overall charging infrastructure placement cost by satisfying the charging reliability constraint. Charging reliability of the charging infrastructure is defined by placing at least one charging station within the driving range of the electric drive vehicle drivers. The candidate location points of the road network and the trajectories of the electric drive vehicle drivers reflecting their behaviour are modelled by applying the finite set theory. Thus, considering an optimization period, the candidate location (nodal) traffic flow is identified and included in the optimization objective function. Also, the overall cost is considered in placing a charging station at the candidate location point, regarding the costs for installation, land, basic equipment, etc. The optimization model is applied on a test road network. Linear binary programming is applied in finding the optimal solution. Results show the optimal selection of candidate locations (minimal overall placement cost) with regards to the driving range of the electric drive vehicle and the charging reliability.
机译:本文呈现优化位置模型,以通过满足充电可靠性约束来最小化整体充电基础设施放置成本。充电基础设施的充电可靠性通过将至少一个充电站放置在电驱动车辆驱动器的驱动范围内而定义。通过应用有限集理论建模道路网络的候选位置点和反映其行为的电动驱动车辆驱动器的轨迹。因此,考虑优化时段,候选位置(节点)业务流被识别并包括在优化目标函数中。此外,关于在候选位置点在候选位置的充电站进行了总成本,关于安装,陆地,基本设备等的成本。优化模型应用于测试路网。线性二进制编程应用于找到最佳解决方案。结果显示了关于电动驱动车辆的驱动范围和充电可靠性的候选位置的最佳选择(最小的整体放置成本)。

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