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Research and analysis of a flexible integrated development model of railway system and photovoltaic in China

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  • Ning, Fuwei
  • Ji, Li
  • Ma, Jing
  • Jia, Limin
  • Yu, Zhenwei

Abstract

Greening of the railway energy supply chain is an irreversible trend, and photovoltaics (PVs) provide the most suitable type of renewable energy to integrate with railways. The integration of variable and uncertain PV power generation with the dynamic loads on a railway increases the flexibility needed to maintain load-generation balance. A new evolutionary model of a railway energy supply system (RESS) for railway PV integration systems (RPISs) is proposed by constructing a three-in-one “traction-storage-information integrated station” (TSIIS). A flexibility evaluation approach is proposed to estimate the system flexibility of both the individual TSIIS and the banded featured microgrid group through energy storage capacity configuration and dynamic scheduling via a multileader multifollower Stackelberg game. Finally, the Lanzhou-Xinjiang Railway is taken as an example to calculate the emission reduction and flexibility. The results show that through application of the storage configuration and scheduling strategy to the TSIIS network, the flexibility index of the Lanzhou-Xinjiang Railway increased by 8.40%, which promoted a corresponding decrease in carbon dioxide emissions and increase in PV permeability. In addition, with the gradual construction of PV and energy storage systems, an RPIS can basically achieve self-consistent energy utilization, offering environmental benefits and strong flexibility.

Suggested Citation

  • Ning, Fuwei & Ji, Li & Ma, Jing & Jia, Limin & Yu, Zhenwei, 2021. "Research and analysis of a flexible integrated development model of railway system and photovoltaic in China," Renewable Energy, Elsevier, vol. 175(C), pages 853-867.
    • Handle: RePEc:eee:renene:v:175:y:2021:i:c:p:853-867
    DOI: 10.1016/j.renene.2021.04.119
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    References listed on IDEAS

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    1. Shravanth Vasisht, M. & Vashista, G.A. & Srinivasan, J. & Ramasesha, Sheela K., 2017. "Rail coaches with rooftop solar photovoltaic systems: A feasibility study," Energy, Elsevier, vol. 118(C), pages 684-691.
    2. Wei, F. & Jing, Z.X. & Wu, Peter Z. & Wu, Q.H., 2017. "A Stackelberg game approach for multiple energies trading in integrated energy systems," Applied Energy, Elsevier, vol. 200(C), pages 315-329.
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    Citations

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    Cited by:

    1. Ruifeng Shi & Yuqin Gao & Jin Ning & Keyi Tang & Limin Jia, 2023. "Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    2. Ding, Feng & Yang, Jianping & Zhou, Zan, 2023. "Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    3. Jing Teng & Longkai Li & Yajun Jiang & Ruifeng Shi, 2022. "A Review of Clean Energy Exploitation for Railway Transportation Systems and Its Enlightenment to China," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    4. Kumar, Gokula Manikandan Senthil & Cao, Sunliang, 2023. "Leveraging energy flexibilities for enhancing the cost-effectiveness and grid-responsiveness of net-zero-energy metro railway and station systems," Applied Energy, Elsevier, vol. 333(C).
    5. Lei Yao & Chongtao Bai & Hao Fu & Suhua Lou & Yan Fu, 2023. "Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading," Energies, MDPI, vol. 16(18), pages 1-17, September.
    6. Wu, Zhongqun & Yang, Chan & Zheng, Ruijin, 2022. "Developing a holistic fuzzy hierarchy-cloud assessment model for the connection risk of renewable energy microgrid," Energy, Elsevier, vol. 245(C).

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