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A method for optimizing urban rail transit timetable based on accurate power flow

Authors :
Haoran GENG
Masafumi MIYATAKE
Qingyuan WANG
Pengfei SUN
Bo JIN
Source :
Mechanical Engineering Journal, Vol 10, Iss 3, Pp 22-00360-22-00360 (2023)
Publication Year :
2023
Publisher :
The Japan Society of Mechanical Engineers, 2023.

Abstract

The timetable of urban rail greatly affects its daily energy consumption. To improve the utilization of renewable energy between trains using timetabling has become an effective way to reduce energy consumption. Previous studies ignore or simplify the modelling of traction power supply network, which failed to accurately describe the flow of energy between trains through the power network. This paper proposed an optimisation method of energy efficiency timetabling considering the power flow of traction power supply network. First, an urban rail transit DC traction network model is established, and the current-vector iterative method is used to characterize the energy consumption. Then, a train timetable optimisation model is proposed to minimize the total energy consumption of the traction network system by adjusting the dwell time and section running time. The genetic algorithm is used to solve the optimisation problem. Finally, simulation result shows that the proposed method can accurately characterize the energy flow and effectively reduce the total energy consumption of the urban rail transit.

Details

Language :
English
ISSN :
21879745
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Mechanical Engineering Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.5c011ff674f545e7994ccac55b5650d0
Document Type :
article
Full Text :
https://doi.org/10.1299/mej.22-00360