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Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output

Author

Listed:
  • Ruifeng Shi

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
    China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China)

  • Yuqin Gao

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Jin Ning

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Keyi Tang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Limin Jia

    (China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Highways are a critical consumer of energy. The integration of the highway and the energy system (ES) is a proven method towards carbon neutrality. The increasing energy demands of highway transportation infrastructure and the development of distributed energy and energy storage technologies drive the coupling between the highway system (HS) and the energy supply network, which is becoming tighter than ever before. Many scholars have explored the mode and path of integrated transportation and energy development. However, the energy and transportation systems’ coupling relationship and the collaborative planning scheme have not been thoroughly studied. Facing the increasing interconnection between transportation and energy networks, as well as addressing the demand for clean energy in highway transportation effectively, this paper proposes a highway self-consistent energy system (HSCES) planning model integrating uncertain wind and photovoltaic (PV) power output, so as to analyze the energy supply mode of the HS and determine the multi-energy capacity configuration of the self-consistent energy system (SCES). Firstly, the mathematical model related to each micro-generator of the SCES and the load aggregation scenario of the HS is established. Secondly, considering the uncertainty of renewable energy, this paper focuses on wind and PV power generation, and abatement technology, under uncertain conditions to ensure the best solution for reliability. Thirdly, taking the economy, reliability and the renewable energy utilization rate of the system into account, the system planning model is established under the condition of ensuring the system correlation constraints. Finally, the proposed method is validated using a section of the highway transportation system in western China. The results show that the hybrid energy storage planning scheme can cause the system’s renewable energy utilization rate to reach 99.61%, and the system’s power supply reliability to reach 99.74%. Therefore, it is necessary to carry out coordinated planning while considering the characteristics of the HS and the ES, which can minimize the planning cost of a HSCES, reduce the waste of wind and solar energy, and ensure the reliability of the power supply for the HS.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3166-:d:1062967
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    References listed on IDEAS

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    Cited by:

    1. Ruifeng Shi & Li Ji & Han Liu & Zhe Zhang, 2025. "Sustainable Transition in Transport Energy Consumption: The Charging/Discharging Infrastructure and Self-Containing Transport Energy System of New Energy Vehicles," Sustainability, MDPI, vol. 17(4), pages 1-4, February.
    2. Zhang, Lingzhi & Shi, Ruifeng & Ning, Jin & Jia, Limin & Lee, Kwang Y., 2025. "RAMS assessment methodology for road transport self-contained energy systems considering source-load dual uncertainty," Renewable Energy, Elsevier, vol. 239(C).
    3. Ye, Yujiang & Zhang, Tengxi & Shi, Ruifeng & Liu, Zhuangzhuang & Jia, Limin, 2025. "A multi-stage stochastic-robust planning approach for highway service area self-contained energy system considering multiple uncertainties," Energy, Elsevier, vol. 340(C).
    4. Zhang, Lingzhi & Shi, Ruifeng & Ma, Xiaolei & Jia, Limin & Lee, Kwang Y., 2025. "Highway self-contained multi-microgrid energy management strategy based on universal gravitation," Energy, Elsevier, vol. 327(C).

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