Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm
Joint Authors
Liu, Kun
Liu, Di
Zhu, Song-Qing
Bi, Yun-Rui
Xu, You-Xiong
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Urban metro trains have the characteristics of short running distance between stations and frequent starting and braking.
A large amount of regenerative braking energy is generated during the braking process.
The effective utilization of the regenerative braking energy can substantially reduce the total energy consumption of train operation.
In this paper, we establish two integer programming models of train operation that maximize the overlap time between train traction and braking in peak hours and nonpeak hours.
On this basis, an improved differential evolution (IDE) algorithm is developed for solving the two integer programming models.
The results demonstrate that the overlap time increases by 51.44% after optimization using the IDE algorithm when the headway is set to 154 s in peak hours.
The overlap time is further increased by 14.87% by optimizing the headway.
In nonpeak hours, the overlap time of traction and braking of the trains in opposite directions at the same station is increased by optimizing the bidirectional departure interval, thereby reducing the total energy consumption of the system.
American Psychological Association (APA)
Liu, Di& Zhu, Song-Qing& Bi, Yun-Rui& Liu, Kun& Xu, You-Xiong. 2020. Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175958
Modern Language Association (MLA)
Liu, Di…[et al.]. Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1175958
American Medical Association (AMA)
Liu, Di& Zhu, Song-Qing& Bi, Yun-Rui& Liu, Kun& Xu, You-Xiong. Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175958
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175958