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Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit

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  • Fei Lin

    (School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China)

  • Xuyang Li

    (School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China)

  • Yajie Zhao

    (School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China)

  • Zhongping Yang

    (School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China)

Abstract

Recuperation of braking energy offers great potential for reducing energy consumption in urban rail transit systems. The present paper develops a new control strategy with variable threshold for wayside energy storage systems (ESSs), which uses the supercapacitor as the energy storage device. First, the paper analyzes the braking curve of the train and the V - I characteristics of the substation. Then, the current-voltage dual-loop control method is used for ESSs. Next, in order to achieve the best energy-saving effect, the paper discusses the selection principle of the charge and discharge threshold. This paper proposes a control strategy for wayside supercapacitors integrated with dynamic threshold adjustment control on the basis of avoiding the onboard braking chopper’s operation. The proposed control strategy is very useful for obtaining good performance, while not wasting any energy in the braking resistor. Therefore, the control strategy has been verified through simulations, and experimental tests, have been implemented on the Batong Line of Beijing subway using the 200 kW wayside supercapacitor energy storage prototype. The experimental results show that the proposed control is capable of saving energy and considerably reducing energy consumption in the braking resistor during train braking.

Suggested Citation

  • Fei Lin & Xuyang Li & Yajie Zhao & Zhongping Yang, 2016. "Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit," Energies, MDPI, vol. 9(4), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:4:p:257-:d:66947
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    References listed on IDEAS

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    1. Qin, Feifei & Zhang, Xiaoning & Zhou, Qiang, 2014. "Evaluating the impact of organizational patterns on the efficiency of urban rail transit systems in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 89-99.
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    Cited by:

    1. Yizhi Yan & Haolin Tang & Fan Wu & Rui Wang & Mu Pan, 2017. "One-Step Self-Assembly Synthesis α-Fe 2 O 3 with Carbon-Coated Nanoparticles for Stabilized and Enhanced Supercapacitors Electrode," Energies, MDPI, vol. 10(9), pages 1-13, August.
    2. Zhongping Yang & Zhihong Yang & Huan Xia & Fei Lin & Feiqin Zhu, 2017. "Supercapacitor State Based Control and Optimization for Multiple Energy Storage Devices Considering Current Balance in Urban Rail Transit," Energies, MDPI, vol. 10(4), pages 1-19, April.
    3. Timur Yunusov & Maximilian J. Zangs & William Holderbaum, 2017. "Control of Energy Storage," Energies, MDPI, vol. 10(7), pages 1-5, July.
    4. Vladimir Dmitrievskii & Vladimir Prakht & Vadim Kazakbaev, 2023. "Design Optimization of a Synchronous Homopolar Motor with Ferrite Magnets for Subway Train," Mathematics, MDPI, vol. 11(3), pages 1-17, January.
    5. Marcin Szott & Marcin Jarnut & Jacek Kaniewski & Łukasz Pilimon & Szymon Wermiński, 2021. "Fault-Tolerant Control in a Peak-Power Reduction System of a Traction Substation with Multi-String Battery Energy Storage System," Energies, MDPI, vol. 14(15), pages 1-23, July.
    6. Sergio Mayrink & Janaína G. Oliveira & Bruno H. Dias & Leonardo W. Oliveira & Juan S. Ochoa & Gustavo S. Rosseti, 2020. "Regenerative Braking for Energy Recovering in Diesel-Electric Freight Trains: A Technical and Economic Evaluation," Energies, MDPI, vol. 13(4), pages 1-16, February.
    7. Nursaid Polater & Pietro Tricoli, 2022. "Technical Review of Traction Drive Systems for Light Railways," Energies, MDPI, vol. 15(9), pages 1-26, April.
    8. Flavio Ciccarelli & Luigi Pio Di Noia & Renato Rizzo, 2018. "Integration of Photovoltaic Plants and Supercapacitors in Tramway Power Systems," Energies, MDPI, vol. 11(2), pages 1-14, February.
    9. Pan, Deng & Zhao, Liting & Luo, Qing & Zhang, Chuansheng & Chen, Zejun, 2018. "Study on the performance improvement of urban rail transit system," Energy, Elsevier, vol. 161(C), pages 1154-1171.
    10. Ivan Radaš & Ivan Župan & Viktor Šunde & Željko Ban, 2021. "Route Profile Dependent Tram Regenerative Braking Algorithm with Reduced Impact on the Supply Network," Energies, MDPI, vol. 14(9), pages 1-22, April.

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