Research on Method of Cooperation among Trains for Energy Saving in Urban Rail Transportation

被引:0
作者
Bu B. [1 ]
Teng C. [1 ]
Chen E. [2 ]
Qin G. [1 ]
机构
[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing
[2] The Third Railway Survey and Design Institute Group Corporation, Tianjin
来源
| 2018年 / Science Press卷 / 40期
关键词
Cooperation among multi-trains; Energy saving; Regenerative energy; Train dispatch and control integrated method;
D O I
10.3969/j.issn.1001-8360.2018.08.006
中图分类号
学科分类号
摘要
In this paper, a method of saving tractive energy through the coordination among trains using regenerative energy was presented. A "time-slot and energy cell" model was proposed which can analyze the usage of regenerative energy used among bidirectional running, multi-trains in the same power supply zone, during multiple traction or brake. Based on the model, a unified train dispatch and control integrated strategy was designed to find the global optimal solution of the total net tractive energy consumption of all the trains through selecting the running curve between train stations, adjusting the running time of trains between stations, the station dwell time and the headway. The proposed method was compared with the current train dispatch and control integrated method, and verified through simulation, based on the line and train parameters of Beijing Yizhuang and Beijing Changping lines. The simulation results show that the proposed method has strong practicability with significant improvement of the regeneration energy utilization rate and remarkable reduction of the total net tractive energy under different lengths of sections and headway. © 2018, Department of Journal of the China Railway Society. All right reserved.
引用
收藏
页码:43 / 51
页数:8
相关论文
共 16 条
  • [1] Xie H., Man C., Shang Y., Analysis on Main Influencing Factors of Metro Energy Consumption and Energy Saving Measures, Modern Urban Transit, 4, pp. 65-67, (2013)
  • [2] Hu W., Sun Q., Lu J., Et al., Energy Conversation Based on the Optimization of Train Timetable, Urban Mass Transit, 19, 5, pp. 67-73, (2016)
  • [3] Yang X., Li X., Gao Z.Y., Et al., A Cooperative Scheduling Model for Timetable Optimization in Subway Systems, IEEE Transactions on Intelligent Transportation Systems, 14, 1, pp. 438-447, (2013)
  • [4] Yang X., Ning B., Li X., Et al., A Two-objective Timetable Optimization Model in Subway Systems, IEEE Transactions on Intelligent Transportation Systems, 15, 5, pp. 1913-1921, (2014)
  • [5] Qiu Y., Fan Y., Hou X., Et al., Regenerative Braking Energy Based Optimization Model for Departure Interval Time in Subway System, Shandong Science, 28, 5, pp. 64-71, (2015)
  • [6] Bu B., Ding Y., Li C., Et al., Research on Integration of Train Control and Train Scheduling, Journal of the China Railway Society, 35, 12, pp. 64-71, (2013)
  • [7] Zhu Y., Mao B., Shi R., Et al., Optimization of Urban Rail Timetable with Consideration of Passenger Departure Time Choices, Journal of the China Railway Society, 38, 5, pp. 1-10, (2016)
  • [8] Bocharnikov Y.V., Tobias A.M., Roberts C., Et al., Optimal Driving Strategy for Traction Energy Saving on DC Suburban Railways, Iet Electric Power Applications, 1, 5, pp. 675-682, (2007)
  • [9] Wong K.K., Ho T.K., Coast Control of Train Movement with Genetic Algorithm, The 2003 Congress on Evolutionary Computation, pp. 1280-1287, (2003)
  • [10] Milroy I.P., Aspect of Automatic Train Control, (1980)