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1.上海电力大学电气工程学院,上海市 200090
2.电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
Received:13 November 2023,
Revised:2024-02-03,
Published Online:21 May 2024,
Published:10 September 2024
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YANG Huanhong,CHAI Lei,HUANG Wentao,et al.Collaborative Optimization of Dual-source Trolleybuses and Electric Buses Considering Traffic Information[J].Automation of Electric Power Systems,2024,48(17):77-87.
杨欢红,柴磊,黄文焘等.考虑道路交通信息的双源无轨电车与电动公交车协同优化[J].电力系统自动化,2024,48(17):77-87. DOI: 10.7500/AEPS20231113002.
YANG Huanhong,CHAI Lei,HUANG Wentao,et al.Collaborative Optimization of Dual-source Trolleybuses and Electric Buses Considering Traffic Information[J].Automation of Electric Power Systems,2024,48(17):77-87. DOI: 10.7500/AEPS20231113002.
随着双源无轨电车在城市电动公交领域展现出高效的服务能力,交通网与电网的耦合进一步加深。考虑到双源无轨电车短期内无法完全取代电动公交车,为有效调度两种车型,解决当前城市公交系统生命周期成本高、车辆配置数量多的问题,对双源无轨电车与电动公交车的配置与调度进行联合建模。首先,搭建交通网-电网耦合的城市公交系统运行框架,并考虑道路交通信息建立城市公交的速度模型。然后,分析不同类型公交车的运营模式,综合考虑公交车能耗差异与分时电价,精细化运营成本建模,建立以生命周期成本最小化为目标的城市公交系统生命周期成本模型,并采用遗传算法对模型进行求解。最后,采用中国上海市公共交通现有双源无轨电车路线的数据进行仿真验证。结果表明,所提精细化模型可以在完成既定行程表的情况下,减少车辆配置数量,降低生命周期成本,满足不同规模混合公交车队的合理配置与调度优化。
With the dual-source trolleybus showing efficient service capability in the field of urban electric buses
the coupling between transportation network and power grids is further deepened. Considering that the dual-source trolleybuses cannot completely replace the electric buses in the short term
in order to effectively dispatch the two types of vehicles and solve the problems of high life-cycle cost and large number of deployed vehicles in the current urban public transportation system (UPTS)
the deployment and scheduling of the dual-source trolleybuses and the electric buses are jointly modeled. First
an operation framework for the UPTS with the coupling of transportation network and power grid is built
and the speed model of the urban public transportation is established considering the traffic information. Then
the operation modes of different types of buses are analyzed
the bus energy consumption differences and time-of-use electricity price are comprehensively considered
the operation cost modeling is refined
and the life-cycle cost model of UPTS with the goal of minimizing life-cycle cost is established and solved by the genetic algorithm. Finally
the simulation verification is conducted using data of existing dual-source trolleybus routes in Shanghai
China. The simulation results show that the proposed refined model can reduce the number of deployed vehicles and the life-cycle cost
and meet the reasonable allocation and scheduling optimization of mixed bus fleets with different sizes on the premise of completing established schedules.
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