铁道科学与工程学报2018，Vol.15Issue(4)：821-828,8.
基于2阶段优化的高速列车节能运行仿真研究
Research on simulation for energy-saving operation of high-speed trains based on two-stage optimization
摘要
Abstract
According to high-speed train traction calculation, the two-stage optimization method for ramp operation optimization and whole coasting optimization was proposed. The train energy-saving model under the constraint of timing was constructed, by taking energy-saving operation as the goal and considering the actual running condition of the ramp. In the first stage, the railway line ramp was discretized, and the genetic algorithm was employed to search the speed combination sequence of the energy consumption of the train. The model was transformed into an optimization problem, and the train speed curve was obtained. In the second stage, the genetic algorithm was used to select the coasting position and the reasonable interval of coasting speed in the middle stage of the train running, and the train speed curve was optimized again. Taking Jinan-Tai'an high-speed railway station as an example, after two-stage optimization, the energy-saving effect of CRH3high-speed train is 11.63%.关键词
高速列车/节能运行/2阶段优化/遗传算法/仿真Key words
high-speed train/energy-saving operation/two-stage optimization/genetic algorithm/simulation分类
交通工程引用本文复制引用
曹佳峰,刘斌..基于2阶段优化的高速列车节能运行仿真研究[J].铁道科学与工程学报,2018,15(4):821-828,8.基金项目
国家自然科学基金资助项目(61364026) （61364026）
兰州交通大学科技支撑基金资助项目(ZC2013005) （ZC2013005）
