An Optimal Design and Analysis of a Hybrid Power Charging Station for Electric Vehicles Considering Uncertainties
An Optimal Design and Analysis of a Hybrid Power Charging Station for Electric Vehicles Considering Uncertainties
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考虑不确定性的电动汽车混合动力充电站优化设计与分析
DOI：
10.1109/iecon.2018.8592855
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Chengbin Ma
中科院分区：
文献类型：
--
作者：
Taoyong Li;Jing Zhang;Yuanxing Zhang;Linru Jiang;Bin Li;Dongxiang Yan;Chengbin Ma
随着电动汽车保有量的不断增加，充电问题日益突出。有必要像加油站一样建设充电站（CS），满足充电并方便驾驶员。本文研究了一种集成可再生能源的新型充电站。针对不确定性问题，提出了一种面向实时应用的分层能源管理策略。为了综合考虑经济、环境和电池储能系统退化等多目标确定CS的最佳大小，采用蒙特卡罗模拟来解决具有许多不确定性的问题。我们将电池退化视为特定的目标函数。这样我们就得到了最优Pareto集。结果表明，CS规模调整的最佳决策变量可以折衷目标并实现合理的资源调度。
The charging problem becomes prominent with the increasing number of electric vehicles. It is necessary to built charging station (CS), like the gasoline station, to satisfy the recharging and be convenient for the drivers. In this paper, a new type of charging station integrated with renewable energy source was studied. A hierarchical energy management strategy oriented to real-time application was proposed to handle the uncertainties. To determine the optimal size of the CS by considering multiobjective including economic, environment and battery energy storage system degradation, Monte Carlo simulation was adopted to solve the problem with many uncertainties. We treated battery degradation as a specific objective function. And we obtained the optimal Pareto set. The result demonstrated the optimal decision variable for CS sizing can compromise the objectives as well as realize the reasonable resource dispatch.