An Energy-efficient Train Driving Strategy Based on Regime Sequences Optimization

被引：0
|
作者：
Zhao D. [1 ]
Zhao P. [1 ]
Yao X. [1 ]
Yang Z. [2 ]
Zhang B. [1 ]
机构：
[1] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
[2] School of Electrical Engineering, Beijing Jiaotong University, Beijing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2024年 / 24卷 / 02期
关键词：
complex running conditions; energy-efficient train driving; multi-objective optimization; operation regime sequences; urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2024.02.016
中图分类号：
学科分类号：
摘要：
The traditional "three-phase" and "four-phase" fixed regimes sequences of train driving mode can hardly meet the demand for energy-efficient train operation under the complex line conditions of urban rail transits. An energy-efficient operation strategy optimization method based on condition sequence optimization is proposed. A physical line section is discretized into several equidistant sub-sections, the mapping relationship between the sequence of driving regimes and sub-sections is established, and the multi-objective optimization model of train energy-saving maneuvering strategy is constructed with the objective of minimizing the total traction energy consumption and running time in the section. In order to improve the solution efficiency, the crossover operator and distance operator of the Non-dominated Sorting Genetic Algorithm-II are improved, and the set of energy-efficient train driving strategies is solved based on the discrete simulation method. Two typical sections of Fuzhou Metro Line 1 are used for the case study and the results show that the average reduction of traction energy consumption of trains after optimization is about 19% compared with the traditional manipulation mode. The proposed method can effectively construct operating condition sequences adapted to different line conditions by reasonably selecting the algorithm parameters, and generate a set of energy-efficient train operation strategies with accurate seconds of running time. © 2024 Science Press. All rights reserved.
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页码：157 / 165
页数：8
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