基于遗传算法的列车运行能耗优化算法

研究了CBTC系统中列车控制模型和列车运行调整,以降低能耗为目标,对列车在区间的运行控制进行优化组合,提出了基于遗传算法的能耗优化算法,根据具体的线路条件,计算了在不同的运行等级下或不同区间运行时分对应的列车运行速度曲线。以一段2 400m长,具有典型节能坡设置,且包含一段60km.h-1区间限速的线路为例,进行了能耗计算和优化仿真。研究结果表明:优化之后速度曲线与其对应的运行等级2、3、4的速度曲线相比,列车牵引能耗减少到原来的62%、58%、60%,节能效果显著,算法有效。

Optimization algorithm of train operation energy consumption based on genetic algorithm

Train control model and train operation regulation in communication based train control(CBTC) system were studied,train operation control in inter-station section was optimized combinatorially for the purpose of reducing energy consumption,and the optimization algorithm of train operation energy consumption based on genetic algorithm was provided.Train operation speed curves were calculated for each performance level or specified run time of each section under particular line conditions.Energy consumption calculation and optimization simulation were performed on a 2 400-meter long track line with the setting of a typical energy saving grade and a 60 km·h-1 speed restriction area.Analysis result shows that the traction energy consumptions of optimized speed curve reduce to 62%,58%,60% of speed curves for performance levels 2,3,4 respectively,energy saving effect is remarkable,and the optimization algorithm is efficient.