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基于出行链及轨迹大数据的综合商业体充电站选址规划

Charging Station Location Planning for Integrated Commercial Complexes Based on Travel Chain and Trajectory Big Data
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摘要 针对综合商业体内充电站的规划问题,首先提出基于出行链的电动私家车用充电需求模型;其次通过ArcGis对成都市出租车轨迹大数据进行研究,获得电动出租车的时空充电需求;最后分析综合商业体内影响客户充电需求的因素,并建立基于TOPSIS的综合商业体停车-充电混合充电站选址模型,确定综合商业体内可改造为充电桩的停车位,建设停车-充电混合充电站。 To address the problem of planning charging stations within integrated commercial complexes,a travel chain-based charging demand model for electric private vehicles was proposed.Then,ArcGis was used to study the big data of taxi trajectory in Chengdu to obtain the spatiotemporal charging requirements of electric taxis.Finally,the factors affecting the charging demand of customers in the comprehensive commercial body were analyzed,and the location model of the park-charging hybrid charging station of the comprehensive commercial body based on TOPSIS was established,and the parking spaces that could be transformed into charging piles in the comprehensive commercial body were determined,and the park-charging hybrid charging station was constructed.
作者 周思佳 高赟鹏 陈知琨 翟蓉 奚宇 王逸涵 ZHOU Sijia;GAO Yunpeng;CHEN Zhikun;ZHAI Rong;XI Yu;WANG Yihan(Nanjing Institute of Technology,Nanjing 211112,China)
机构地区 南京工程学院
出处 《电工技术》 2023年第12期165-168,共4页 Electric Engineering
基金 南京工程学院电力工程学院项目(编号TB202204011)。
关键词 充电站规划 出行链 ArcGis轨迹大数据 混合充电站 charging station planning travel chain ArcGis trajectory big data hybrid charging stations
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