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

Civil Engineering

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