Energy-Efficient Optimization Method of Urban Rail Train Based on Following Consistency

Ruxun Xu (), Jianjun Meng (), Decang Li and Xiaoqiang Chen
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Ruxun Xu: Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
Jianjun Meng: Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
Decang Li: Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
Xiaoqiang Chen: Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China

Energies, 2023, vol. 16, issue 4, 1-15

Abstract: Because of the short distance between stations in urban rail transit, frequent braking of urban rail trains during operation will generate a large amount of regenerative braking energy. Urban rail trains can reduce their actual traction energy consumption using regenerative braking energy. Therefore, an energy-efficient optimization method for urban rail trains is proposed. By taking the punctuality of trains as the premise, the weighted acceleration of trains is taken as the synergetic variable, the synergetic coefficient is introduced to construct the following consistency model, and its convergence is proved. By analyzing the influencing factors of the following consistency coordination time, an adaptive parameter adjustment strategy is designed to solve the latest secondary traction time and the corresponding maximum speed of the primary traction. In order to save communication resources, the event trigger function is used to construct trigger conditions, and the consistency algorithm is used to update the cooperative controller. The simulation results show that the weighted acceleration of the follower train achieves the following consistency on the premise of ensuring punctuality, and the actual traction energy consumption of the follower train is reduced by 5.73%. The proposed method provides a new strategy for the energy-efficient operation of urban rail trains.

Keywords: urban rail train; energy-efficient; consistency cooperative control; parameter adaptation; events trigger (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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