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Optimal electrical fast charging stations by enhanced descent gradient and Voronoi diagram

机译:增强型下降梯度和voronoi图的最佳电气快速充电站

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In this article, a synergy of Enhanced Heuristic Descent Gradient (EHDG) algorithm and Voronoi diagram is applied for the optimal planning of electrical Fast Charging Stations (FCSs) for electric buses. The proposed novel technique aims at achieving the optimal locations of charging stations based on route distributions, consumption profiles, and operating costs. The Enhanced Descent Gradient is applied to produce the optimal layout that is graphically represented by Voronoi diagram. A real world case study is presented to the bus network in city of Toronto to be replaced with electric buses that need electrical charging stations. The proposed technique is based on two incorporated stages: analyzing and estimating of the energy consumption of the bus network, then optimizing the allocation of charging stations to minimize the energy consumption and operating cost. The proposed technique is verified and compared with a well-established benchmark algorithm, which is particle swarm optimizer. (C) 2020 Elsevier Ltd. All rights reserved.
机译:在本文中,应用了增强的启发式梯度(EHDG)算法和Voronoi图的协同作用,用于电动总线的电气快充电站(FCS)的最佳规划。所提出的新技术旨在基于路由分布,消耗简档和运营成本实现充电站的最佳位置。应用增强的下降梯度来产生由Voronoi图形表示的最佳布局。一个真实的世界案例研究介绍到多伦多市的巴士网络,以替换需要电气充电站的电动公共汽车。该提出的技术基于两个掺入阶段:分析和估计总线网络的能耗,然后优化充电站的分配,以最小化能量消耗和运营成本。验证了所提出的技术,并与熟悉的基准算法进行了验证,是粒子群优化器。 (c)2020 elestvier有限公司保留所有权利。

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