考虑调度可行性的电动出租车时空双层充电优化OA北大核心
Spatiotemporal Bi-Level Charging Optimization of Electric Taxi Considering Scheduling Feasibility
随着各城市电动出租车群体不断扩大,其规模化的无序充电行为不仅会加剧电网负荷曲线的波动,威胁电网的稳定和安全,也会降低偏远充电站的设备利用率.为此,基于"车-站-网"信息协同建立了电动出租车有序充电引导系统,该系统在考虑用户参与调度可行性的基础上提出了一种电动出租车时空双层充电优化策略.在时间层模型中,以电网负荷曲线峰谷差、标准差最小以及用户充电成本最小建立多目标优化模型.该模型提前优化电动出租车的充电时间负荷,为各用户预约充电时间窗口;在空间层模…查看全部>>
With the continuous expansion of electric taxi fleets in various cities,their large-scale and unregulated charging behaviors will not only aggravate the fluctuation of the power grid load curve,threaten the stability and security of the power grid,but also reduce the equipment utilization rates of remote charging stations.Therefore,an electric taxi orderly charging guidance system is established based on the information cooperation of"vehicle-station-network…查看全部>>
田晟;李乐洋
华南理工大学土木与交通学院,广州 510640华南理工大学土木与交通学院,广州 510640
交通运输
电动出租车充电引导调度可行性时空负荷调度多目标优化
electric taxicharging guidancescheduling feasibilityspatiotemporal load schedulingmulti-objective optimization
《南方电网技术》 2025 (2)
57-67,11
国家重点研发计划资助项目(2021年国家科技部"新能源汽车"重点专项"(2021YFB2501104))广东省自然科学基金资助项目(2021A1515011587,2020A1515010382). Supported by the National Key Research and Development Program(2021YFB2501104)the Natural Science Foundation of Guangdong Province(2021A1515011587,2020A15150 10382).
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