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上海电力大学学报:2024,40(2):109-114
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电-路耦合网络下电动汽车充电站选址定容低碳规划
(上海电力大学 电气工程学院)
Low Carbon Planning of Electric Vehicle Charging Station Location with Fixed Capacity Under Traffic⁃Grid Coupling Network
(School of Electrical Engineering, Shanghai University of Electric Power)
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投稿时间:2023-09-17    
中文摘要: 针对现有电动汽车充电站规划研究鲜有考虑碳排放的问题,提出了一种电-路耦合网络下电动汽车充电站选址定容低碳规划的方法。首先,建立电-路耦合网络,考虑不同车辆的相互影响并计及电动汽车用户里程焦虑,利用蒙特卡洛法模拟车流;其次,对耦合网络碳排放进行溯源和追踪;然后,考虑经济成本和碳排放量,建立多目标充电站规划模型,并利用帕累托前沿求取最优解;最后,以IEEE 33节点配电网和12节点交通网组成的耦合网络作为算例,验证所提方法的有效性。
Abstract:Aiming at the fact that carbon emission is rarely considered in the existing planning studies of electric vehicle charging station,a low carbon planning method for location and capacity of electric vehicle charging station under the electric⁃circuit coupling network is proposed. Firstly, an electric-circuit coupling network is established,and Monte Carlo is used to simulate traffic flow,considering the interaction of different vehicles and the range anxiety of EV users.Secondly, traceability and tracking is done of carbon emissions is conducted in the coupled network.Then, considering the economic cost and carbon emission,the multi-objective planning model of charging station is established and solved by Pareto frontier.Finally,the coupling network of IEEE 33⁃node distribution network and 12-node traffic network is analyzed as an example to verify the effectiveness of the proposed method.
文章编号:20242003     中图分类号:TM715;U496.72    文献标志码:
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引用文本:
贾瑞,高玉栋,赵健.电-路耦合网络下电动汽车充电站选址定容低碳规划[J].上海电力大学学报,2024,40(2):109-114.
JIA Rui,GAO Yudong,ZHAO Jian.Low Carbon Planning of Electric Vehicle Charging Station Location with Fixed Capacity Under Traffic⁃Grid Coupling Network[J].Journal of Shanghai University of Electric Power,2024,40(2):109-114.