电动汽车充/换电装置的选址定容改建优化策略OA北大核心CSTPCD
Site selection, capacity determination, and reconstruction optimization strategy for electric vehicle charging/swapping stations
针对电动汽车在快速发展中面临的问题,在改建现有设施的思路下,以现有的加油站和停车场作为候选地点,基于M/M/a排队系统,通过构建充/换电装置选址定容模型,将需求分配和充电站定容融入遗传算法进行仿真求解.优化的目标是最小化换电站建设总成本、充电站建设总成本、未覆盖需求的总惩罚成本以及用户排队时间总成本之和.在算例中对单位惩罚成本、充电桩功率、覆盖范围、单位换电站建设成本进行敏感性分析.结果表明:在公共充电站内安装的充电桩并不是功率越大越好,应同时兼…查看全部>>
Summary: In recent years, influenced by factors such as policy support, increased environmental awareness, and continuous advancements in electric vehicle technology, the number of electric vehicles has experienced rapid growth.However, when people choose electric vehicles, they often encounter range anxiety, primarily worrying about the remaining driving range being insufficient to reach their destination, thus risking being stranded along the way.Additiona…查看全部>>
胡丹丹;寇竞泽
中南民族大学 管理学院, 武汉 430074中南民族大学 管理学院, 武汉 430074
动力与电气工程
电动汽车选址定容模型遗传算法改建充/换电装置
electric vehiclesite selection and capacity determination modelgenetic algorithmreconstructioncharging/swapping station
《重庆理工大学学报》 2024 (9)
30-37,8
国家社会科学基金项目(22BGL273)
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