城轨列车运行时分节能优化方法

基于传统的城轨列车站间运行曲线优化模型，研究列车运行图中的运行时分优化模型和方法。同时在满足运营需求的前提下，以降低城轨列车运行能耗为目标利用遗传算法对列车全周转内各个站间的运行时分进行优化。根据北京地铁亦庄线的实际数据，对以上方法的节能效果进行实际验证和比较。结果表明，基于遗传算法的城轨列车运行时分优化方法相比城轨列车实际运行与仅优化站间驾驶策略方法分别可以获得17.3%与4.1%的节能效果。

Optimization of Train Running Time for Saving Energy in Urban Rail Transit

This study investigates the running optimization model and method based on the traditional optimization model of the train driving strategy. To reduce energy consumption, we optimize the operating time of the trains between stations (depending on the demand) using a genetic algorithm. Finally, we verify and compare the effects of two energy-saving methods based on the actual data from the Yizhuang Line of Beijing metro. The genetic algorithm optimization-based method can reduce the energy by 17.3% compared to the energy consumption during actual operation, and by 4.1% compared to the energy consumption when only optimizing the driving strategy.