路网中的列车节能操纵优化方法研究  

Optimization Method of Energy Saving Train Operation for Railway Network

作　　者：付印平[1] 高自友[1] 李克平[1] 

机构地区：[1]北京交通大学轨道交通控制与安全国家重点实验室,北京100044

出　　处：《交通运输系统工程与信息》2009年第4期90-96,共7页Journal of Transportation Systems Engineering and Information Technology

基　　金：国家自然科学基金(60634010;60776829);长江学者和创新团队发展计划基金(IRT0605);新世纪优秀人才支持计划基金(NCET-06-0074)

摘　　要：在铁路网络中,列车运行通过车站时可能会受到其他运行线列车运行的干扰,本文对列车运行受干扰时的节能操纵优化进行了研究.根据问题的数学描述和列车运行动力学方程,建立了最优化模型,并采用变长度染色体遗传算法,结合工况序列表,对问题进行了求解.通过仿真计算,给出了受干扰时列车运行的速度距离曲线,与无干扰时的速度距离曲线进行了比较,分析了速度、时间之间的相互变化,并结合能耗距离曲线,揭示了列车节能操纵的一些原则,最后将运算结果与其他方法计算出的结果进行了比较.比较结果表明,变长度染色体遗传算法是一个有效的算法,可以很好地应用在列车节能操纵优化的研究中.In railway network, trains running through stations may be disturbed by trains in other lines. This paper investigates energy saving train operation under disturbance condition. According to the mathematical description of the problem and dynamic equation for train movement, the authors propose an optimization model of energy saving train operation. A changeable chromosome length genetic algorithm and table of control modes list are applied to solve the optimization problem. The simulation is carried out and the speedposition curve of disturbed train is compared with that of train which moves normally. The variation of speed with time is analyzed. Some principles for energy saving are revealed in speed-position curve and energy-position curve. At last, the simulation result is compared with that obtained by other methods. The comparison shows that the changeable chromosome length genetic algorithm is an effective method to be applied in energy saving train operation.

关 键 词：列车节能操纵 遗传算法 工况序列表 列车运行干扰 

分 类 号：U268.6[机械工程—车辆工程]