Maximise the regenerative braking energy using linear programming

Shaofeng Lu; Paul Weston; Ning Zhao

doi:10.1109/ITSC.2014.6958090

Maximise the regenerative braking energy using linear programming

Shaofeng Lu
, Paul Weston
, Ning Zhao

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Regenerative braking improves the energy efficiency of railway transportation by converting the kinetic energy into the electrical energy. In this paper, Linear Programming (LP) is applied to search for the train braking trajectory with the maximum Regenerative Braking Energy (RBE). LP takes the advantages of simplicity in modelling, efficiency in computation, flexibility in applications. Compared with the previously proposed model in [1], the proposed LP optimisation model takes into account the speed limit constraints during the braking operation. Four case studies have been performed with different speed limits and initial braking speeds. While the maximum allowed braking time takes a key role for the RBE recovery, a threshold exists when the impact of maximum allowed braking time starts to become negligible. It has been demonstrated in this paper that LP is a robust and effective method to locate the optimal braking trajectory with the maximum RBE. The results of the optimisation are of significant interest for urban transportation systems where the regenerative braking is frequently applied. Future work of this paper is to investigate the optimisation of RBE in a more complicated scenario where the gradients are present and the motoring operation of train is allowed.

Original language	English
Title of host publication	2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2499-2504
Number of pages	6
ISBN (Electronic)	978-1-4799-6078-1
DOIs	https://doi.org/10.1109/ITSC.2014.6958090
Publication status	Published - 20 Nov 2014
Event	2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China Duration: 8 Oct 2014 → 11 Oct 2014 Conference number: 17th

Publication series

Name	IEEE Conference on Intelligent Transportation Systems (ITSC)
Publisher	IEEE
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

Conference

Conference	2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Country/Territory	China
City	Qingdao
Period	8/10/14 → 11/10/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Trajectory
Optimization
Rail transportation
Mathematical model
Linear programming
Rails
Educational institutions

ASJC Scopus subject areas

Computer Science Applications
Automotive Engineering
Mechanical Engineering

Access to Document

10.1109/ITSC.2014.6958090Licence: None: All rights reserved

https://ieeexplore.ieee.org/document/6958090Licence: None: All rights reserved

Cite this

Lu, S., Weston, P., & Zhao, N. (2014). Maximise the regenerative braking energy using linear programming. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (pp. 2499-2504). Article 6958090 (IEEE Conference on Intelligent Transportation Systems (ITSC)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ITSC.2014.6958090

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title = "Maximise the regenerative braking energy using linear programming",

abstract = "Regenerative braking improves the energy efficiency of railway transportation by converting the kinetic energy into the electrical energy. In this paper, Linear Programming (LP) is applied to search for the train braking trajectory with the maximum Regenerative Braking Energy (RBE). LP takes the advantages of simplicity in modelling, efficiency in computation, flexibility in applications. Compared with the previously proposed model in [1], the proposed LP optimisation model takes into account the speed limit constraints during the braking operation. Four case studies have been performed with different speed limits and initial braking speeds. While the maximum allowed braking time takes a key role for the RBE recovery, a threshold exists when the impact of maximum allowed braking time starts to become negligible. It has been demonstrated in this paper that LP is a robust and effective method to locate the optimal braking trajectory with the maximum RBE. The results of the optimisation are of significant interest for urban transportation systems where the regenerative braking is frequently applied. Future work of this paper is to investigate the optimisation of RBE in a more complicated scenario where the gradients are present and the motoring operation of train is allowed.",

keywords = "Trajectory, Optimization, Rail transportation, Mathematical model, Linear programming, Rails, Educational institutions",

author = "Shaofeng Lu and Paul Weston and Ning Zhao",

year = "2014",

month = nov,

day = "20",

doi = "10.1109/ITSC.2014.6958090",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems (ITSC)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "2499--2504",

booktitle = "2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014",

note = "2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 ; Conference date: 08-10-2014 Through 11-10-2014",

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Lu, S, Weston, P & Zhao, N 2014, Maximise the regenerative braking energy using linear programming. in 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014., 6958090, IEEE Conference on Intelligent Transportation Systems (ITSC), Institute of Electrical and Electronics Engineers (IEEE), pp. 2499-2504, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 8/10/14. https://doi.org/10.1109/ITSC.2014.6958090

Maximise the regenerative braking energy using linear programming. / Lu, Shaofeng; Weston, Paul ; Zhao, Ning.
2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 2499-2504 6958090 (IEEE Conference on Intelligent Transportation Systems (ITSC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Maximise the regenerative braking energy using linear programming

AU - Lu, Shaofeng

AU - Weston, Paul

AU - Zhao, Ning

N1 - Conference code: 17th

PY - 2014/11/20

Y1 - 2014/11/20

N2 - Regenerative braking improves the energy efficiency of railway transportation by converting the kinetic energy into the electrical energy. In this paper, Linear Programming (LP) is applied to search for the train braking trajectory with the maximum Regenerative Braking Energy (RBE). LP takes the advantages of simplicity in modelling, efficiency in computation, flexibility in applications. Compared with the previously proposed model in [1], the proposed LP optimisation model takes into account the speed limit constraints during the braking operation. Four case studies have been performed with different speed limits and initial braking speeds. While the maximum allowed braking time takes a key role for the RBE recovery, a threshold exists when the impact of maximum allowed braking time starts to become negligible. It has been demonstrated in this paper that LP is a robust and effective method to locate the optimal braking trajectory with the maximum RBE. The results of the optimisation are of significant interest for urban transportation systems where the regenerative braking is frequently applied. Future work of this paper is to investigate the optimisation of RBE in a more complicated scenario where the gradients are present and the motoring operation of train is allowed.

AB - Regenerative braking improves the energy efficiency of railway transportation by converting the kinetic energy into the electrical energy. In this paper, Linear Programming (LP) is applied to search for the train braking trajectory with the maximum Regenerative Braking Energy (RBE). LP takes the advantages of simplicity in modelling, efficiency in computation, flexibility in applications. Compared with the previously proposed model in [1], the proposed LP optimisation model takes into account the speed limit constraints during the braking operation. Four case studies have been performed with different speed limits and initial braking speeds. While the maximum allowed braking time takes a key role for the RBE recovery, a threshold exists when the impact of maximum allowed braking time starts to become negligible. It has been demonstrated in this paper that LP is a robust and effective method to locate the optimal braking trajectory with the maximum RBE. The results of the optimisation are of significant interest for urban transportation systems where the regenerative braking is frequently applied. Future work of this paper is to investigate the optimisation of RBE in a more complicated scenario where the gradients are present and the motoring operation of train is allowed.

KW - Trajectory

KW - Optimization

KW - Rail transportation

KW - Mathematical model

KW - Linear programming

KW - Rails

KW - Educational institutions

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DO - 10.1109/ITSC.2014.6958090

M3 - Conference contribution

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T3 - IEEE Conference on Intelligent Transportation Systems (ITSC)

SP - 2499

EP - 2504

BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Y2 - 8 October 2014 through 11 October 2014

ER -

Maximise the regenerative braking energy using linear programming

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this