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-  2016 

高速列车的节能操纵策略研究
Research on energy-saving operation strategy for high-speed train

Keywords: 高速列车,节能策略,组合优化技术,遗传算法,坡度
high-speed train
, energy-saving strategy, combination optimization technique, genetic algorithm, gradient

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Abstract:

以高速列车的节能运行为研究目标,充分考虑列车的牵引特性和运行线路条件,构建定时约束下的列车操纵模型,进而提出针对优化运行速度曲线的节能操纵策略。首先引入组合优化技术,通过遗传算法为子区间搜索最优的速度码组合序列,将模型求解转换为最优化问题,获得列车节能运行的速度操纵范围。然后在此基础上,充分利用线路坡度,提出坡道加速度一次变更原则,并结合列车牵引、巡航、惰性和制动的操纵模式,最后获得能耗最小的运行速度曲线,指导高速列车下一站间的运行。通过京沪线上的站间实例仿真,验证了节能操纵策略的有效性。
The energy-saving running of high-speed train was taken as a research target, in which the train traction characteristic and railway conditions were fully considered. The train operation model was established under the constraint of fixed time, and an energy-saving operation strategy for optimizing the speed curve was proposed. At first, combination optimization technique and genetic algorithm were introduced to search the optimal combination sequence of speed codes for subsections, thus the model solution problem was transformed into an optimization problem and the energy-saving operation range of train speed was determined. Then on the basis of this, the principle of changing acceleration one time on a slope was proposed to make full use of the energy-saving advantage of a slope, in tandem with traction, cruise, coast and braking operation modes. Finally, the running speed curve with minimal energy consumption was obtained, which guided the train running between the two successive stations. In order to verify the effectiveness of the proposed strategy, operation of CHR-3 on high-speed railway was simulated

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