考虑调度可行性的电动出租车时空双层充电优化  

Spatiotemporal Bi-Level Charging Optimization of Electric Taxi Considering Scheduling Feasibility

作　　者：田晟[1] 李乐洋 TIAN Sheng;LI Leyang(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China)

机构地区：[1]华南理工大学土木与交通学院,广州510640

出　　处：《南方电网技术》2025年第2期57-67,共11页Southern Power System Technology

基　　金：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)。

摘　　要：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;在空间层模型中,以各充电站平均利用率均衡及用户充电时间成本最小为目标对电动出租车充电空间负荷进行实时调度,为用户分配最优充电站。最后,通过算例仿真验证了所提优化策略的有效性,能够兼顾配电网、充电站运营商、电动出租车用户三方的利益。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”,which proposes a spatiotemporal bi-level charging optimization of electric taxi considering the feasibility of user participation in scheduling.In the temporal level model,a multi-objective optimization model is established based on minimizing the peak-valley difference,standard deviation and the charging cost of users.This model optimizes the charging time load of electric taxis in advance and reserves charging time windows for each user.In the spatial level model,real-time scheduling of the spatial load of electric taxi charging is carried out with the objectives of balanc-ing the average utilization rate of each charging station and minimizing users′charging time cost,in order to allocate the optimal charging station for each user.Finally,the effectiveness of the proposed optimization strategy is verified through a case simulation,demonstrating its ability to balance the interests of power distribution network,charging station operators and electric taxi users.

关 键 词：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 

分 类 号：U491.8[交通运输工程—交通运输规划与管理] TM73[交通运输工程—道路与铁道工程]