高速列车动态间隔优化的弹性调整策略

为保证列车运行安全性, 提高铁路线路运载效能, 针对移动闭塞系统, 研究了高速列车追踪运行的间隔弹性调整策略和操纵轨迹的动态优化问题; 以高速列车运行安全性、效率、能耗和乘客舒适度作为列车运行控制策略曲线的优化目标, 研究了列车的追踪运行过程; 采用差分进化算法求解了列车运行过程多目标优化模型, 设计了离线最优运行控制策略曲线; 提出了列车弹性追踪间隔模型, 分析了列车运行过程中追踪间隔的实时变化; 基于弹性间隔模型设计列车追踪运行控制策略动态调整机制, 采集列车实际运行数据, 实时监测相邻列车间的实际追踪间隔, 评估其是否符合安全性与效率约束条件, 并分析了评估结果; 依据工况调整原则在线调整追踪列车的运行状态与工况, 实时优化列车追踪间隔; 应用武广高速铁路赤壁北—长沙南区间的实际运行数据进行了仿真验证。仿真结果表明: 与真实区间运行数据相比, 采用离线最优运行控制策略曲线后, 运行能耗降低了6.86%;与固定追踪时间间隔模型相比, 采用基于弹性模型的控制策略动态调整机制有效提升了铁路整体运输效能, 将临界安全发车间隔从234 s缩短至161 s, 线路整体运行效率由6 434 s缩短至6 376 s, 与真实运行数据相比, 追踪列车的运行能耗降低了7.194%。 

Elastic adjustment strategy of dynamic interval optimization for high-speed train

To ensure the train operation safety and improve the carrying efficiency of railway line, the interval elastic adjustment strategy of high-speed train tracking operation and dynamic optimization of manipulating trajectory were researched under the moving block system. The optimal objectives including the operation safety, efficiency, energy consumption of high-speed train and comfort of passengers were taken into account to obtain the train operation control strategy curve, and the train tracking operation process was researched. The multi-objective optimization of high-speed train model of train operation process was solved through the differential evolution algorithm, and the offline optimal operation control strategy curve was obtained. The train elastic tracking interval model was proposed, and the real-time change of tracking interval during the train operation process was analyzed. On the basis of the elastic interval model, a dynamic train tracking operation control strategy adjustment mechanism was designed. The train actual operation data were collected, and the actual tracking interval between adjacent trains was monitored in real-time. The interval was evaluated whether it meets the safety and time-efficiency constraints, and the assessment result was analyzed. The following train's operation state and condition were adjusted online according to the conversion principle of operation phases, and the train tracking interval was optimized in real-time. The numerical simulation using the real operation data of Wuhan-Guangzhou High-speed Railway Line from Chibi North Station to Changsha South Station was conducted. Simulation result indicates that compared with the real section operation data, the energy consumption reduces by 6.86% by adopting the offline optimal operation control strategy curve. Compared with the fixed tracking time interval model, the transport efficiency of the overall railway line is efficiently promoted by adopting the control strategy dynamic adjustment mechanism based on the elastic model, which reduces the critical safety departure interval from 234 s to 161 s. The overall railway line operation efficiency is shortened from 6 434 s to 6 376 s, and the energy consumption of tracking train reduces by 7.194% compared with the actual operation data.