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Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route

Author

Listed:
  • Zhuang Xiao

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Pengfei Sun

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Qingyuan Wang

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Yuqing Zhu

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Xiaoyun Feng

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

A tram with on-board hybrid energy storage systems based on batteries and supercapacitors is a new option for the urban traffic system. This configuration enables the tram to operate in both catenary zones and catenary-free zones, and the storage of regenerative braking energy for later usage. This paper presents a multiple phases integrated optimization (MPIO) method for the coordination of speed profiles and power split considering the signal control strategy. The objective is to minimize the equivalent total energy consumption of all the power sources, which includes both the energy from the traction substation and energy storage systems. The constraints contain running time, variable gradients and curves, speed limits, power balance and signal time at some intersections. The integrated optimization problem is formulated as a multiple phases model based on the characters of the signalized route. An integrated calculation framework, using hp-adaptive pseudospectral method, is proposed for the integrated optimization problem. The effectiveness of the method is verified under fixed time signal (FTS) control strategy and tram priority signal (TPS) control strategy. Illustrative results show that this method can be successfully applied for trams with hybrid energy storage systems to improve their energy efficiency.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:478-:d:133146
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    References listed on IDEAS

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    1. Haahr, Jørgen Thorlund & Pisinger, David & Sabbaghian, Mohammad, 2017. "A dynamic programming approach for optimizing train speed profiles with speed restrictions and passage points," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 167-182.
    2. Xuan Lin & Qingyuan Wang & Pengling Wang & Pengfei Sun & Xiaoyun Feng, 2017. "The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections," Energies, MDPI, vol. 10(6), pages 1-26, June.
    3. Liu, Rongfang (Rachel) & Golovitcher, Iakov M., 2003. "Energy-efficient operation of rail vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 917-932, December.
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    Cited by:

    1. Jaewon Kim & Joorak Kim & Changmu Lee & Gildong Kim & Hansang Lee & Byongjun Lee, 2018. "Optimal Capacity Estimation Method of the Energy Storage Mounted on a Wireless Railway Train for Energy-Sustainable Transportation," Energies, MDPI, vol. 11(4), pages 1-19, April.
    2. Andrzej Czerepicki & Tomasz Krukowicz & Anna Górka & Jarosław Szustek, 2021. "Traffic Light Priority for Trams in Warsaw as a Tool for Transport Policy and Reduction of Energy Consumption," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    3. Ying Yang & Weige Zhang & Shaoyuan Wei & Zhenpo Wang, 2020. "Optimal Sizing of On-Board Energy Storage Systems and Stationary Charging Infrastructures for a Catenary-Free Tram," Energies, MDPI, vol. 13(23), pages 1-21, November.
    4. Mo Chen & Zhuang Xiao & Pengfei Sun & Qingyuan Wang & Bo Jin & Xiaoyun Feng, 2019. "Energy-Efficient Driving Strategies for Multi-Train by Optimization and Update Speed Profiles Considering Transmission Losses of Regenerative Energy," Energies, MDPI, vol. 12(18), pages 1-25, September.
    5. Ying Wang & Ya Guo & Xiaoqiang Chen & Yunpeng Zhang & Dong Jin & Jing Xie, 2023. "Research on the Energy Management Strategy of a Hybrid Energy Storage Type Railway Power Conditioner System," Energies, MDPI, vol. 16(15), pages 1-16, August.
    6. 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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