基于多目标仿真技术的牵引节能优化关键算法及应用研究

刘明亮1郑俊锋1吕鑫男2

Research on Traction Energy-saving Optimization Key Algorithms and Application Based on Multi-objective Simulation Technology

LIU MingliangZHENG JunfengLYU Xinnan
摘要:
城市轨道交通供电系统中牵引供电能耗受列车运行策略、运行时刻表编制和线路断面设计等多种因素影响。利用多列车仿真技术开发了一套牵引能耗仿真分析模型和多车牵引供电模型,研究了单车驾驶策略和基于运行时刻表的多车协同牵引节能优化技术。基于合肥轨道交通1号线列车运行数据的仿真结果表明,该优化技术效益较为明显,综合节能效果可达5%。
Abstracts:
The energy consumption of traction power supply in urban rail transit power supply system is affected by factors such as train operation strategy, operation timetable compilation, line cross section design. A set of traction energy consumption simulation analysis model and multi-vehicle traction power supply model are developed by using multi\|train simulation technology. The single-vehicle driving strategy and the energy-saving optimization technology of multi-vehicle cooperative traction based on operation timetable are studied. The simulation results based on Hefei Rail Transit Line 1 train operation data show that the benefit of the optimization technology is evident, with the comprehensive energy-saving effect up to 5%.
引文 / Ref:
刘明亮,郑俊锋,吕鑫男.基于多目标仿真技术的牵引节能优化关键算法及应用研究[J].城市轨道交通研究,2022,25(1):170.
LIU Mingliang,ZHENG Junfeng,LYU Xinnan.Research on Traction Energy-saving Optimization Key Algorithms and Application Based on Multi-objective Simulation Technology[J].Urban mass transit,2022,25(1):170.
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