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Sustainability SI: Optimal Prices of Electricity at Public Charging Stations for Plug-in Electric Vehicles

机译:可持续性SI:插电式电动汽车公共充电站的最优电价

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With an increasing deployment of plug-in electric vehicles, evaluating and mitigating the impacts of additional electrical loads created by these vehicles on power distribution grids become more important. This paper explores the use of prices of electricity at public charging stations as an instrument, in couple of road pricing, to better manage both power distribution and urban transportation networks. More specifically, a multi-class combined distribution and assignment model is formulated to capture the spatial distribution of plug-in electric vehicles across the transportation network and estimate the electrical loads they impose on the power distribution network. Power flow equations are subsequently solved to estimate real power losses. Prices of electricity at public charging stations and road tolls are then optimized to minimize both real power losses in the distribution grid and total travel time in the urban transportation network. The pricing model is formulated as a mathematical program with complementarity constraints and solved by a manifold suboptimization algorithm and a pattern search method. Numerical examples are presented to demonstrate the proposed model and solution algorithms.
机译:随着插电式电动汽车的部署不断增加,评估和减轻这些电动汽车对配电网产生的额外电力负荷的影响变得越来越重要。本文探讨了使用公共充电站的电价作为道路定价工具,以更好地管理配电和城市交通网络。更具体地说,制定了一个多类组合的分配和分配模型,以捕获整个运输网络中插电式电动汽车的空间分布,并估算它们施加在配电网络上的电力负荷。随后求解潮流方程,以估算实际功率损耗。然后优化公共充电站和道路通行费的电价,以使配电网中的实际功率损耗和城市交通网络中的总行驶时间最小化。定价模型被公式化为具有互补约束的数学程序,并通过流形次优算法和模式搜索方法进行求解。数值例子表明了所提出的模型和求解算法。

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