[1]矫岩峻,刘思恺,马 啸,等.中低速磁浮交通多车协同利用制动能量的研究[J].机车电传动,2017,(04):85.[doi:10.13890/j.issn.1000-128x.2017.04.106]
 JIAO Yanjun,LIU Sikai,MA Xiao,et al.Research on Multi-train Cooperative Utilization of Regenerative Braking Energy for Low-speed Maglev Traffic[J].Electric Drive for Locomotives,2017,(04):85.[doi:10.13890/j.issn.1000-128x.2017.04.106]
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中低速磁浮交通多车协同利用制动能量的研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2017年04期
页码:
85
栏目:
城市轨道车辆
出版日期:
2017-07-10

文章信息/Info

Title:
Research on Multi-train Cooperative Utilization of Regenerative Braking Energy for Low-speed Maglev Traffic
文章编号:
1000-128X(2017)04-0085-06
作者:
矫岩峻刘思恺马 啸刘少克
(国防科学技术大学机电工程与自动化学院 , 湖南长沙 410073)
Author(s):
JIAO Yanjun LIU Sikai MA Xiao LIU Shaoke
( School of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China)
关键词:
磁浮列车列车运行控制节能驾驶节能优化多种群遗传算法
Keywords:
maglev train train operation control energy saving driving energy saving optimization multi population genetic algorithm
分类号:
U292.91+7;U268.6
DOI:
10.13890/j.issn.1000-128x.2017.04.106
文献标志码:
A
摘要:
首先分析了中低速磁浮交通单列车运行能耗和供电系统,在此基础上建立多列车运行能耗模型。为了充分利用再生制动能量,提出了可对运行间隔、停站时间和区间运行时分微调的列车运行时刻表制定方法。设计了多种群遗传算法,以多列车运行能耗最低和最大程度利用再生制动能量为目标,优化列车运行时刻表。通过采用精英保留策略和移民策略算法,提高了寻优过程的稳定性和速度。仿真结果表明,本文方法可将再生制动能量的利用率由传统14.8% 提高到80.9%,将被利用的再生制动能量与运行能耗比值由传统0.74% 提高到4.2%。
Abstract:
Single train model of operation energy consumption and power supply system was analyzed firstly, and on the basis of this, a multi-train operation energy consumption model was established. In order to make full use of the regenerative braking energy, a method was put forward to set up the train operation schedule which could implement fine tune of departure interval, the stopping time and the running time. A multiple population genetic algorithm was designed to optimize the train operation schedule with the minimum energy consumption and the maximum utilization of the regenerative braking energy as the goal. The elite reservation strategy and migration strategy were adopted to improve the stability and speed of the optimization process in the algorithm. Simulation results showed that this method could increase the utilization rate of regenerative braking energy from 14.8% to 80.9%, and the ratio of regenerative braking energy utilization and operation energy consumption could be increased from 0.74% to 4.2%.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:矫岩峻(1991-),男,硕士研究生,主要从事磁悬浮直线传动技术、轨道交通牵引节能相关研究。
更新日期/Last Update: 2017-07-10