Energy consumption optimization of tramway operation based on improved PSO algorithm

被引:55
作者
Xing, Zongyi [1 ]
Zhu, Junlin [1 ]
Zhang, Zhenyu [1 ]
Qin, Yong [2 ]
Jia, Limin [2 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
关键词
Tramway; Energy consumption optimization; Particle swarm optimization; Competition mechanism; ATO SPEED PROFILES; GENETIC ALGORITHM; DESIGN;
D O I
10.1016/j.energy.2022.124848
中图分类号
O414.1 [热力学];
学科分类号
摘要
Tramway has the advantages of reliable operation, energy-saving, and environmental protection, which is an important way to alleviate traffic pressure. Energy consumption optimization of tramway operation is significant in reducing the operation cost. Therefore, the energy consumption optimization model of tramway operation based on the improved PSO algorithm is developed. Firstly, the energy consumption model of the tramway is established based on the energy-saving operation strategy. Then, the compe-tition mechanism-based particle swarm optimization (CM-PSO) algorithm is developed to improve energy-saving performance. Finally, the Guangzhou Haizhu tramway is taken as an example to illustrate the effectiveness of the developed method. The results show that the developed model effectively re-duces the tramway operation energy consumption and performs better than the previous methods.(c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
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