城市轨道交通节能列车时刻表优化方法
Energy-efficient optimization method for urban rail transit timetable
查看参考文献17篇
文摘
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从降低列车运行能耗、利用再生制动能角度,提出了城市轨道交通时刻表节能优化问题.考虑区间运行时分、交路运行总时间、开行间隔等约束条件,通过基于区间运行曲线集的区间运行时间分配策略,以及合理安排列车始发时刻的供电分区内列车间的再生制动能利用策略,建立城市轨道交通列车节能时刻表优化模型,设计了基于遗传算法的求解方法.以广州地铁八号线节能时刻表编制为例,验证优化方法的有效性.结果表明:优化后的列车时刻表再生制动能利用率增加12.2%,总能耗降低10.9%,具有良好的节能效果. |
其他语种文摘
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From the perspective of reducing the energy consumption of train and utilizing the regenerative braking energy, the energy-efficient optimization problem of urban rail transit timetable is proposed. Considering the constraints such as the operation time between stations, total operation time and headway, the energy-efficient optimization model of timetable is established. And the method based on genetic algorithm is designed by the operation time allocation strategy between stations based on the operation curve set and the strategy that rationally manages the departure time of the trains to utilize the regenerative braking energy in the power supply sections. Taking the energy-efficient timetable of Guangzhou Metro Line 8 as an example, the effectiveness of the optimization method is verified. The results show that the regenerative braking energy utilization rate of the optimized timetable increases by 12.2%, the total energy consumption decreases by 10.9%, and has a good energy saving effect. |
来源
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系统工程理论与实践
,2021,41(6):1486-1495 【核心库】
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DOI
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10.12011/SETP2019-1526
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关键词
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城市轨道交通
;
节能时刻表
;
区间运行时间分配
;
再生制动能利用
;
遗传算法
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地址
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1.
中南大学交通运输工程学院, 轨道交通大数据湖南省重点实验室, 长沙, 410075
2.
广州地铁集团有限公司, 广州, 510000
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1000-6788 |
学科
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铁路运输 |
基金
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国家自然科学基金
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文献收藏号
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CSCD:7010695
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参考文献 共
17
共1页
|
1.
Howlett P G. An optimal strategy for the control of a train.
Journal of the Australian Mathematical Society,1990,31(4):454-471
|
CSCD被引
29
次
|
|
|
|
2.
Bocharnikov Y V. Optimal driving strategy for traction energy saving on DC suburban railways.
IET Electric Power Applications,2007,1(5):675-682
|
CSCD被引
21
次
|
|
|
|
3.
Feng X S. Study on the maximum operation speeds of metro trains for energy saving as well as transport efficiency improvement.
Energy,2011,36(11):6577-6582
|
CSCD被引
3
次
|
|
|
|
4.
Su S. Energy-efficient train control in urban rail transit systems.
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail & Rapid Transit,2015,229(4):446-454
|
CSCD被引
4
次
|
|
|
|
5.
Lu S. Single-train trajectory optimization.
IEEE Transactions on Intelligent Transportation Systems,2013,14(2):743-750
|
CSCD被引
23
次
|
|
|
|
6.
柏赞. 长大下坡道区间地铁列车节能操纵方法.
中国铁道科学,2018,39(1):108-115
|
CSCD被引
1
次
|
|
|
|
7.
黄友能. 基于粒子群算法的城轨列车节能驾驶优化模型.
交通运输工程学报,2016,16(2):118-124
|
CSCD被引
18
次
|
|
|
|
8.
Pena-Alcaraz M. Optimal underground timetable design based on power flow for maximizing the use of regenerative-braking energy.
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit,2012,226(4):397-408
|
CSCD被引
4
次
|
|
|
|
9.
Yang X. A cooperative scheduling model for timetable optimization in subway systems.
IEEE Transactions on Intelligent Transportation Systems,2013,14(1):438-447
|
CSCD被引
28
次
|
|
|
|
10.
陈志杰. 城市轨道交通追踪列车定时节能操纵优化.
铁道学报,2017(8):13-20
|
CSCD被引
1
次
|
|
|
|
11.
Zhao L. A multi-objective timetable optimization model for subway systems.
Lecture Notes in Electrical Engineering,2014,287:557-565
|
CSCD被引
2
次
|
|
|
|
12.
彭其渊. 基于再生制动的地铁列车开行策略研究.
铁道学报,2017,39(3):7-13
|
CSCD被引
5
次
|
|
|
|
13.
Yang X. An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems.
Transportation Research Part C: Emerging Technologies,2015,57:13-29
|
CSCD被引
7
次
|
|
|
|
14.
Ning J J. A synergistic energy-efficient planning approach for urban rail transit operations.
Energy,2018,151:854-863
|
CSCD被引
3
次
|
|
|
|
15.
Zhao N. An integrated metro operation optimization to minimize energy consumption.
Transportation Research Part C: Emerging Technologies,2017,75:168-182
|
CSCD被引
7
次
|
|
|
|
16.
Zhou Y H. Integrated optimization on train control and timetable to minimize net energy consumption of metro lines.
Journal of Advanced Transportation,2018,2018:7905820
|
CSCD被引
3
次
|
|
|
|
17.
步兵. 城市轨道交通多车协作节能控制方法研究.
铁道学报,2018,250(8):47-55
|
CSCD被引
2
次
|
|
|
|
|