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新能源公交充电场站的区域供需平衡模型 被引量:2

Spatial Supply-demand Equilibrium Model for New-energy Bus Charging Stations
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摘要 新能源公交充电场站通常兼有公交枢纽站/首末站功能,受既有充电设备功率和公交线路排线双重限制,充电需求和供给通常较难匹配。提出一种基于贪心算法的公交充电场站空间优化模型,将多个单体公交充电站的空间问题转化为一个寻求单体站组合最优解的数学问题。其核心是将充电站的相对空间距离、单个充电站的充电供需和公交车调度距离作为约束条件,寻找多个充电站的最优组合方案,实现区域内充电站的供需平衡最大化。 New-energy bus terminals often serves as charging hubs as well.However,due to the limit of bus routes arrangement and charging load,individual charging stations are often imbalanced of charging supply and demand,which caused low charging efficiency.In this study,a model based on greedy algorithm is proposed to find out the optimized station combination scheme by converting spatial optimization of individual stations to clustering stations in a mathematic way.The core of this model is to identify spatial distance among stations,individual station charging load as well as max dispatching distance of buses as three main constraint conditions.Then by organizing the most optimized stations combination,the model achieves a spatial supply-demand equilibrium rather than individual stations’equilibrium.
作者 顾天奇 刘雨承 祝海荣 韩双 王波 GU Tianqi;LIU Yucheng;ZHU Hairong;HAN Shuang;WANG Bo(CCDI(SuZhou)Survey&Design Consultant Co.,Ltd,Suzhou 215125,China;Institute of Transport Studies,Dept.of Civil Engineering,Monash University,Melbourne 3800,Australia;Suzhou Transport Comprehensive Administrative Law Enforcement Detachment,Suzhou 215009,China)
出处 《交通与运输》 2021年第5期76-80,共5页 Traffic & Transportation
关键词 公交充电场站 碳中和 区域平衡 贪心算法 空间优化 Bus charring station Carbon neutrality Spatial equilibrium Greedy algorithm Spatial optimization
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