摘要
针对动车组列车运行需综合考虑准点、节能、安全、舒适的复杂问题,将运行时间视为旅客满意标准,能耗视为铁路公司的满意标准,同时考虑过电分相对列车运行的影响,使列车的运行更符合实际情况,建立列车运行多目标优化模型,该模型受安全性、轨道特点、乘客舒适度等的约束。提出一种NSGA-Ⅱ算法与黄金比例技术相结合的算法,解决使用NSGA-Ⅱ算法优化时个体在解空间中分配不均的问题,通过对算法的测试,表明黄金比例NSGA-Ⅱ算法的分布性和收敛性比NSGA-Ⅱ算法好。最后以武广客运专线中某一区段的线路CRH3型动车组为仿真实例,展示仿真的一些结果,进一步表明所建模型与所提算法是可行的。
Aiming at the complex problem that the EMU(Electric Multiple Units) trains operation need to consider punctuality, energy saving, safety and comfort, the operation time was regarded as the standard of passenger satisfaction, and the energy consumption was seen as the standard of the railway company satisfaction. Meanwhile, considering the influence of electrical phases in order to make the train operation more in line with the actual situation, a multi-objective optimization model for the train operation was established, which was constrained by safety, track characteristics and passenger comfort and so on. Then, a kind of algorithm combining NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithm-Ⅱ) with golden ratio technology was proposed to solve the problem of uneven individuals distribution in the solution space when using NSGA-Ⅱ to optimize. The tests of the algorithms show that the golden ratio NSGA-Ⅱ algorithm has better distribution and convergence than the NSGA-Ⅱ algorithm. Finally, taking CRH3 of a certain section of Wuhan-Guangzhou line as a simulation case, some simulation results are shown, which further indicate that the model and the proposed algorithm are feasible.
作者
汤旻安
王茜茜
蔚璠
TANG Minan;WANG Qianqian;YU Fan(School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2020年第10期2469-2478,共10页
Journal of Railway Science and Engineering
基金
国家自然科学基金资助项目(61663021)。
