Please wait a minute...
浙江大学学报(工学版)  2018, Vol. 52 Issue (1): 106-116    DOI: 10.3785/j.issn.1008-973X.2018.01.015
土木工程、交通工程     
考虑列车混行的运行调度一体化优化方法
陆源源, 王慧, 宋春跃
浙江大学 控制科学与工程学院, 浙江 杭州 310027
Integrated optimization method of scheduling and control in express/slow train
LU Yuan-yuan, WANG Hui, SONG Chun-yue
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
 全文: PDF(1226 KB)   HTML
摘要:

研究考虑列车混行的运行-调度一体化优化方法.通过对再生制动能量的利用,将列车的运行与调度联系起来,建立以能耗最优为目标的列车运行-调度一体化优化模型.考虑不同速度等级列车之间的追踪间隔和越行行为,确保在列车行车安全的情况下,在优化列车运行曲线的同时优化列车时刻表,实现线路上运行能耗的全局最优.采用粒子群算法对模型进行求解,获得不同速度列车的运行曲线及时刻表.仿真算例表明,该方法的节能效果明显,不仅可以在运行能耗方面节省9.6%,列车之间的再生能利用也可以达到13.2%,平均每辆车节能可以达到7.6%;采用改进后的再生制动能量利用方法,可以将能量利用在常规方法的基础上提升12.7%.

Abstract:

The integrated optimization method of scheduling and control in express/slow rail transit was analyzed. The running control and scheduling of the train were related by using regenerative energy. An integrated model of scheduling and control was constructed by optimizing energy consumption. The different levels of speed tracking intervals between trains, the overtaking behavior and the safety of the trains were considered in order to optimize train operation curve and train schedules at the same time and get the global optimum value of operation energy consumption. The particle swarm optimization algorithm was used to solve the model in order to obtain the operation curve and timetable of the different levels of speed trains. Results show that the model not only can save energy by 9.6% in the aspects of running, but also can save energy by 13.2% in the aspects of regenerative braking energy by the comparison with the current situation. The average energy saving can reach 7.6% per car, and the improved method of regenerative braking energy can save energy 12.7% more than the original design.

收稿日期: 2016-11-17 出版日期: 2017-12-15
CLC:  U292  
基金资助:

国家自然科学基金资助项目(61673342,61273085).

通讯作者: 王慧,女,教授.orcid.org/0000-0001-8695-5649.     E-mail: hwang@iipc.zju.edu.cn
作者简介: 陆源源(1993-),女,硕士生,从事列车运行与调度的研究.orcid.org/0000-0002-6605-3936.E-mail:753942485@qq.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章  

引用本文:

陆源源, 王慧, 宋春跃. 考虑列车混行的运行调度一体化优化方法[J]. 浙江大学学报(工学版), 2018, 52(1): 106-116.

LU Yuan-yuan, WANG Hui, SONG Chun-yue. Integrated optimization method of scheduling and control in express/slow train. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(1): 106-116.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2018.01.015        http://www.zjujournals.com/eng/CN/Y2018/V52/I1/106

[1] 韩瑛. 不同速度等级列车混行对高速铁路通过能力的影响研究[D]. 兰州:兰州交通大学,2013. HAN Ying. Study on influence of mixed traffic with different speed grade on high-speed railway carrying capacity[D]. Lanzhou:Lanzhou Jiaotong University, 2013.
[2] 董霄. 不同速度等级列车混跑对高速铁路运输能力的影响研究[D]. 北京:北京交通大学,2012. DONG Xiao. Study on theinfluence of mixed traffic on high-speed railway transport capacity[D]. Beijing:Beijing Jiaotong University, 2012.
[3] 陈尔超. 城市轨道交通调度与控制一体化方法的研究[D]. 北京:北京交通大学,2015. CHEN Er-chao. Study on integrated method of scheduling and control in urban rail transit[D]. Beijing:Beijing Jiaotong University, 2015.
[4] MILROY I P. Aspect of automatic train control[D]. Leicestershire:Loughborough University, 1980.
[5] HOWLETT P G, PUDNEY P J, XUAN V. Local energy minimization in optimal train control[J]. Automatica, 2009, 45(11):2692-2698.
[6] LI X, LI L, GAO Z, et al.Train energy-efficient operation with stochastic resistance coefficient[J]. International Journal of Innovative Computing, Information and Control, 2013, 9(8):3471-3483.
[7] LI X, GAO Z, SUN W. Existence of an optimal strategy for stochastic train energy-efficient operation problem[J]. Soft Computing, 2013, 17(4):651-657.
[8] 冯晓云.模糊预测控制及其在列车自动驾驶中的应用研究[D]. 成都:西南交通大学,2001. FENG Xiao-yun. Fuzzy predictive control and its application in the automatic train operation[D]. Chengdu:Southwest Jiaotong University, 2001.
[9] 王成莉. 基于遗传算法的高速列车节能运行控制研究[D].北京:北京交通大学,2016. WANG Cheng-li. Research on high speed train energy-saving control methods based on genetic algorithm[D]. Beijing:Beijing Jiaotong University, 2016.
[10] KOKOTOVIC P,SINGH G. Minimum-energy control of a traction motor[J]. IEEE Transactions on Automatic Control,1972,17(1):92-95.
[11] GORDON S P,LEHRER D G. Coordinated train control and energy management control strategies[C]//Proceedings of the 1998 ASME/IEEE Joint Railroad Conference. Philadelphia:IEEE, 1998:165-176.
[12] ALBRECHT T. Reducing power peaks and energy consumption in rail transit systems by simultaneous train running time control[J]. Computers in Railways, 2004,74(3):885-894.
[13] CHEN J F, LIN R L, LIU Y C. Optimization of an MRT train schedule:reducing maximum traction power by using genetic algorithms[J]. IEEE Transactions on Power Systems, 2005, 20(3):1366-1372.
[14] KIM K M, KIM K T, HAN M S. A model and approaches for synchronized energy saving in timetable[C]//9th World Congress of Railway Research. France:[s. n.], 2011:22-26.
[15] PEÑA-ALCARAZ M, FERNÁNDEZ A, CUCALA A P, et al. Optimal underground timetable design based on power flow for maximizing the use of regenerative-braking energy[J]. Part F:Journal of Rail and Rapid Transit, 2011, 226(4):397-408.
[16] NASRI A, MOGHADAM M F, MOKHATARI H. Timetable optimization for maxmun usage of regenerative energy of braking in electrical railway system[C]//2010 International Symposium on Power Electronics Electrical Drives Automation and Motion (SPEEDAM). Pisa:IEEE, 2010:1218-1221.
[17] 赵莹莹. 考虑再生制动能量利用的城轨交通多列车节能运行研究[D]. 北京:北京交通大学,2015. ZHAO Ying-ying. Research of multiple train operation for maximum usage of regenerative energy[D]. Beijing:Beijing Jiaotong University, 2015.
[18] 赵乐. 基于再生制动的地铁列车时刻表优化模型与算法研究[D]. 北京:北京交通大学,2014. ZHAO Le. Research on metro timetable optimization model and algorithm based on regenerative braking[D]. Beijing:Beijing Jiaotong University, 2014.
[19] YANG X, LI X, GAO Z, et al. A cooperative scheduling model for timetable optimization in subway systems[J]. IEEE Transactions on Intelligence Transportation System, 2013, 14(1):438-447.
[20] 丁奕. 基于列车节能的时刻表制定方法的研究[D]. 北京:北京交通大学,2013. DING Yi. The study of timetable design based on the train energy saving[D]. Beijing:Beijing Jiaotong University, 2013.
[21] 孙亚华. 高速列车运行控制与调度一体化研究[D]. 北京:北京交通大学, 2015. SUN Ya-hua. The integration study of high-speed train operation control and scheduling[D]. Beijing:Beijing Jiaotong University, 2015.
[22] 路飞. 移动闭塞条件下地铁列车的运行优化[D]. 济南:山东大学,2007. LU Fei. Operation optimization of the subway train under moving block system[D]. Jinan:Shandong University, 2007.

No related articles found!