Study on Generation of Energy-saving Driving Curves of High-speed Train Based on Pareto Multi-objective Optimization

被引：0
|
作者：
Zhang H. [1 ,3 ]
Jia L. [1 ,4 ]
Wang L. [2 ,3 ]
机构：
[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing
[2] School of Traffic and Transportation, Beijng Jiaotong University, Beijing
[3] Beijing Engineering Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies, Beijing
[4] National Engineering Laboratory for System Safety and Operation Assurance of Urban Rail Transit, Guangzhou
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2021年 / 43卷 / 03期
关键词：
Energy-efficient driving; Multi-objective optimization; Pareto curve; Railway transportation; Simulation;
D O I：
10.3969/j.issn.1001-8360.2021.03.011
中图分类号：
学科分类号：
摘要：
Energy-saving driving refers to the driving method with the least energy consumed by a train in a given running time, which is an important energy-saving measure for the railway system. Considering the long distance and complex line conditions of high-speed railway, and the characteristics of train operation being easily disturbed and deviating from the original plan, this paper aims to generate a set of energy-saving driving curves balancing the energy consumption and time. A method capable of simplifying the frequently changing line conditions was designed and an improved algorithm was proposed, namely Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ), which combines differential evolution algorithm and a new congestion distance operator. On the basis of non-fixed step size simulation method, the generation of energy-saving driving curve set with energy consumption-time balance was realized. In the case of actual high-speed railway data, a set of feasible strategies was obtained by simulation calculation, which can provide railway managers with effective alternatives under disturbance conditions and lay a foundation for the optimization of energy-saving timetable. © 2021, Department of Journal of the China Railway Society. All right reserved.
引用
收藏
页码：85 / 91
页数：6
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