基于FAPSO的地铁列车节能运行优化研究OA

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 structure integrated optimization control method based on FAPSO algorithm is proposed.The upper level optimization uses the FAPSO algorithm to allocate the total redundant time obtained,and then obtains the best running time between stations and optimize the train running timetable;On the basis of the optimal running time between stations obtained from the optimization of the upper level,the lower-level optimization compares the operation energy consumption of trains under different operation strategies,and then optimizes the train operation strategy of the whole line.Finally,the optimal driving strategy for energy-saving and punctual operation of trains between stations is obtained.Through the MATLAB simulation of the selected line,the simulation results show that the energy consumption of the train operation is reduced by 10.8%after the integrated optimization of the two-layer structure,and it meets the requirements of train running on time.