基于FAPSO的地铁列车节能运行优化研究OA
Research on Optimization of Energy Saving Operation of Subway Train Based on FAPSO
以地铁列车节能、准点运行为研究目标,在充分考虑实际运行线路条件下,构建满足约束条件下的多质点列车运行能耗模型,并在此基础上,将萤火虫算子引入到标准粒子群算法中,构建一种包含萤火虫算子的粒子群优化算法(FAPSO),进而提出基于FAPSO算法的双层结构一体化优化控制方法.上层结构优化通过使用FAPSO算法对获得的总冗余时间进行分配,进而得出各站间最佳运行时间,优化列车运行时刻表;下层结构优化在上层结构优化所得站间最佳运行时间下,对不同运行策略下列车…查看全部>>
The energy-saving and punctual operation of Subway train was taken as a research goal.Under the conditions of full consideration of the actual running route,a multi-point train running energy consumption model that satisfies the constraints is constructed,and on this basis,the firefly operator is introduced into the standard particle swarm algorithm to build a particle swarm optimization algorithm(FAPSO)containing the firefly operator,and then a two-layer st…查看全部>>
黄江平;郑帅沁
华东交通大学电气与自动化工程学院,南昌 330013华东交通大学电气与自动化工程学院,南昌 330013
交通运输
地铁列车FAPSO算法双层结构一体化优化冗余时间分配运行策略
subway trainFAPSO algorithmintegrated optimization of double-layer structureredundant time allocationoperation strategy
《铁道标准设计》 2024 (1)
25-31,7
江西省教育厅科技项目(GJJ160490)
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