Alnuman, H., Gladwin, D.T., Foster, M.P. et al. (1 more author) (2019) Adaptive control method to manage SOC for energy storage in DC electric railways. In: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 14-17 Oct 2019, Lisbon, Portugal. IEEE , Lisbon, Portugal , pp. 261-266. ISBN 9781728148793
Abstract
Incorporating energy storage systems (ESSs) into electric railways has been shown to be advantageous for energy saving and power quality enhancement. For DC railways, the connection method of the ESS to the track may impose restrictions on charging and discharging the ESS to control the state of charge (SOC). Without management of the SOC, the ESS is shown in this study to reach minimum or maximum limits, reducing its effectiveness due to unavailability. Whilst it is possible to oversize the capacity of ESS, this incurs increased costs and requires more physical space. The main objective of this study is to propose and validate a control algorithm that prevents the ESS from reaching the maximum or minimum SOC limits whilst maintaining the benefits of the system. The main concept of the proposed control method is to dynamically update the voltage and current setpoints of the ESS to manage its SOC. The control algorithm is implemented in the MATLAB software and the simulation results are validated against experimental results, using a track emulator and supercapacitor. The findings demonstrate that, with appropriate dynamic charge/discharge control, the SOC levels can be adequately managed and no external load or source is required.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | electric railways; energy storage system; rail track; regenerative braking; supercapacitor |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Dec 2019 14:37 |
Last Modified: | 09 Dec 2020 01:38 |
Published Version: | https://ieeexplore.ieee.org/abstract/document/8927... |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/IECON.2019.8927602 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154658 |