Research on multi-train energy saving optimization based on cooperative multi-objective particle swarm optimization algorithm

被引:0
|
作者
Zhang, Yong [1 ]
Zuo, Tingting [1 ]
Zhu, Muhan [1 ]
Huang, Cheng [1 ]
Li, Jun [1 ]
Xu, Zhiliang [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
基金
国家重点研发计划;
关键词
cooperative multi-objective PSO; cooperative multi-train; multi-objective PSO; rail transport; train energy-saving; TIMETABLE OPTIMIZATION; SPEED; TIME; CONSUMPTION; SYSTEMS; STORAGE; MODEL;
D O I
10.1002/er.5958
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
An energy saving optimization method of multi-train collaboration is studied. According to the different scenarios of two and three trains, the corresponding overlapping time calculation model was established respectively. Minimizing the total energy consumption, a multi-train collaborative energy consumption optimization model is established. The cooperative multi-objective PSO algorithm was used to solve the model from the aspects of optimizing stop time and departure interval as well as the train speed curve. Finally, the energy optimization of the whole line of multi-train during the morning rush hour were carried out by the actual data of Guangzhou metro line 7. The results show that the optimization model can greatly improve the utilization efficiency of regenerative energy and save energy consumption of the whole line by 11.74%.
引用
收藏
页码:2644 / 2667
页数:24
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