Planning of electric vehicle charging infrastructure under the Background of Big Data
作者机构：State Grid Zhejiang Electric Power Co.LtdHangzhouPeople’s Republic of China
出 版 物：《Journal of Control and Decision》 (控制与决策学报（英文）)
年 卷 期：2023年第10卷第3期
页 面：374-381页
核心收录：
学科分类：081704[工学-应用化学] 07[理学] 070304[理学-物理化学(含∶化学物理)] 08[工学] 0817[工学-化学工程与技术] 0703[理学-化学]
主 题：Big Data technology electric vehicles charging facilities infrastructure planning charging equipment power consumption environmental pollution
摘 要：Today, the problems of power consumption and environmental pollution caused by road trafficare very serious. Automobiles produce large amounts of carbon monoxide and nitrogen, dust,and particles, which are the primary user of the fuel. Unconventional design methods will preventthe international process of replacing fuel-filled vehicles with electric vehicles. The promotionand adoption of electric vehicles can effectively alleviate these problems, but the planning ofelectric vehicle charging facilities needs to be resolved as soon as possible. The state-of-the-artmodeand power model of public charging equipment proposed in this paper can solve the problemof positioning charging equipment in large-scale transmission networks and research onrelated charging materials and location planning and energy model design methods that arebeneficial to the future development.
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