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Route Profile Dependent Tram Regenerative Braking Algorithm with Reduced Impact on the Supply Network

Author

Listed:
  • Ivan Radaš

    (Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

  • Ivan Župan

    (Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

  • Viktor Šunde

    (Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

  • Željko Ban

    (Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

Abstract

Electric trams are one of the standard forms of public transport. They are characterized by large amounts of electric current and electric current gradient from the power grid, especially during acceleration. For this reason, a regenerative braking system is considered with the aim of reducing electric current peaks and increasing energy efficiency by reducing the total energy consumption of the power grid. A supercapacitor module is used as a storage device for storing and utilizing the braking energy. The supercapacitor module and the power grid constitute a hybrid energy system, for which a control algorithm has been developed. The control algorithm takes into account the influence of the elevation profile and the slope of the vehicle route in storing and using the braking energy. The operation of the algorithm was simulated and analyzed using the MATLAB/Simulink software package for tram lines with different elevation profiles.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2411-:d:542063
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    References listed on IDEAS

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    1. 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.
    2. Julius Partridge & Dina Ibrahim Abouelamaimen, 2019. "The Role of Supercapacitors in Regenerative Braking Systems," Energies, MDPI, vol. 12(14), pages 1-15, July.
    3. Mihaela Popescu & Alexandru Bitoleanu, 2019. "A Review of the Energy Efficiency Improvement in DC Railway Systems," Energies, MDPI, vol. 12(6), pages 1-25, March.
    4. Mazen Yassine & Drazen Fabris, 2017. "Performance of Commercially Available Supercapacitors," Energies, MDPI, vol. 10(9), pages 1-12, September.
    5. 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.
    6. Zhuang Xiao & Pengfei Sun & Qingyuan Wang & Yuqing Zhu & Xiaoyun Feng, 2018. "Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route," Energies, MDPI, vol. 11(3), pages 1-21, February.
    7. Petru Valentin Radu & Adam Szelag & Marcin Steczek, 2019. "On-Board Energy Storage Devices with Supercapacitors for Metro Trains—Case Study Analysis of Application Effectiveness," Energies, MDPI, vol. 12(7), pages 1-22, April.
    8. Ovalle, Andres & Pouget, Julien & Bacha, Seddik & Gerbaud, Laurent & Vinot, Emmanuel & Sonier, Benoît, 2018. "Energy storage sizing methodology for mass-transit direct-current wayside support: Application to French railway company case study," Applied Energy, Elsevier, vol. 230(C), pages 1673-1684.
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    Cited by:

    1. Yibo Deng & Chushan Li & Yan Deng & Ting Chen & Shaoyu Feng & Yujie Chu & Chengmin Li, 2023. "Energy Efficiency Optimization of Collaborative Power Supply System with Supercapacitor Storages," Energies, MDPI, vol. 16(3), pages 1-15, January.
    2. Mihaela Popescu, 2022. "Energy Efficiency in Electric Transportation Systems," Energies, MDPI, vol. 15(21), pages 1-5, November.

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