IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v238y2025ics0960148124019839.html

Coordinated operation of source–station–road–network system considering traffic flow uncertainty

Author

Listed:
  • Hou, Min
  • Liu, Xinrui
  • Wang, Rui
  • Wang, Yating
  • Li, Zhengmao
  • Sun, Qiuye

Abstract

Promoting large-scale transportation electrification and developing new solar energy harvesting and converting technologies are effective ways to achieve ’dual carbon goals’. In this paper, a new road energy harvesting technology, solar road (SR) power generation technology, is introduced. A SR power generation model considering the variation of solar radiation intensity, traffic flow and dynamic shadows of vehicles is constructed. Secondly, considering the uncertainty of traffic network (TN) caused by users’ stochastic routing behavior, a model of TN under stochastic user equilibrium (SUE) is constructed. Then the influence of traffic flow on the electric load of charging and battery swapping stations (CBSSs) is analyzed, and the local consumption strategy of SR is established. Meanwhile, information gap decision theory (IGDT) is introduced to reduce the impact of uncertainty on the system. Finally, the coupling system of IEEE-33 node of distribution network (DN) and Nguyen–Dupuis of TN is used to verify the effectiveness of the proposed model and optimal management method, which improves the utilization rate of solar energy, promotes carbon emission reduction, reduces the congestion degree of DN, and ensures the safe and stable operation of the system.

Suggested Citation

  • Hou, Min & Liu, Xinrui & Wang, Rui & Wang, Yating & Li, Zhengmao & Sun, Qiuye, 2025. "Coordinated operation of source–station–road–network system considering traffic flow uncertainty," Renewable Energy, Elsevier, vol. 238(C).
    • Handle: RePEc:eee:renene:v:238:y:2025:i:c:s0960148124019839
    DOI: 10.1016/j.renene.2024.121915
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124019839
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.121915?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. González-Garrido, Amaia & González-Pérez, Mikel & Asensio, Francisco Javier & Cortes-Borray, Andrés Felipe & Santos-Mugica, Maider & Vicente-Figueirido, Ibon, 2024. "Hierarchical control for collaborative electric vehicle charging to alleviate network congestion and enhance EV hosting in constrained distribution networks," Renewable Energy, Elsevier, vol. 230(C).
    2. Wu, Xiong & Li, Nailiang & He, Mingkang & Wang, Xiuli & Ma, Song & Cao, Jingjing, 2022. "Risk-constrained day-ahead scheduling for gravity energy storage system and wind turbine based on IGDT," Renewable Energy, Elsevier, vol. 185(C), pages 904-915.
    3. Gong, Lili & Cao, Wu & Liu, Kangli & Yu, Yue & Zhao, Jianfeng, 2020. "Demand responsive charging strategy of electric vehicles to mitigate the volatility of renewable energy sources," Renewable Energy, Elsevier, vol. 156(C), pages 665-676.
    4. Xiang, Bo & Cao, Xiaoling & Yuan, Yanping & Hasanuzzaman, M. & Zeng, Chao & Ji, Yasheng & Sun, Liangliang, 2018. "A novel hybrid energy system combined with solar-road and soil-regenerator: Sensitivity analysis and optimization," Renewable Energy, Elsevier, vol. 129(PA), pages 419-430.
    5. Kalim Ullah & Sajjad Ali & Taimoor Ahmad Khan & Imran Khan & Sadaqat Jan & Ibrar Ali Shah & Ghulam Hafeez, 2020. "An Optimal Energy Optimization Strategy for Smart Grid Integrated with Renewable Energy Sources and Demand Response Programs," Energies, MDPI, vol. 13(21), pages 1-17, November.
    6. Zhang, Yachao & Xie, Shiwei & Shu, Shengwen, 2022. "Multi-stage robust optimization of a multi-energy coupled system considering multiple uncertainties," Energy, Elsevier, vol. 238(PC).
    7. Zhang, Yijie & Ma, Tao & Yang, Hongxing & Li, Zongyu & Wang, Yuhong, 2023. "Simulation and experimental study on the energy performance of a pre-fabricated photovoltaic pavement," Applied Energy, Elsevier, vol. 342(C).
    8. Kalim Ullah & Taimoor Ahmad Khan & Ghulam Hafeez & Imran Khan & Sadia Murawwat & Basem Alamri & Faheem Ali & Sajjad Ali & Sheraz Khan, 2022. "Demand Side Management Strategy for Multi-Objective Day-Ahead Scheduling Considering Wind Energy in Smart Grid," Energies, MDPI, vol. 15(19), pages 1-14, September.
    9. Zhang, Yachao & Liu, Wei & Huang, Zhanghao & Zheng, Feng & Le, Jian & Zhu, Shu, 2021. "Distributionally robust coordination optimization scheduling for electricity-gas-transportation coupled system considering multiple uncertainties," Renewable Energy, Elsevier, vol. 163(C), pages 2037-2052.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Myers, Jeff & Hanna, Ryan & Garg, Teevrat & Kavanagh, Josh & Kleissl, Jan & Tebbe, Sebastian & Washom, Byron & Victor, David G., 2025. "Design of workplace and destination-based EV charging networks considering driver behavior, habits, and preferences," Renewable Energy, Elsevier, vol. 242(C).
    2. Zhu, Yansong & Liu, Jizhen & Hu, Yong & Xie, Yan & Zeng, Deliang & Li, Ruilian, 2024. "Distributionally robust optimization model considering deep peak shaving and uncertainty of renewable energy," Energy, Elsevier, vol. 288(C).
    3. Hou, Min & Liu, Xinrui & Li, Ming & Li, Yushuai & Wang, Rui & Li, Zhengmao & Sun, Qiuye, 2025. "Towards intelligent cooperation of urban electric-traffic coupling network: A distributionally robust hierarchical optimization method with dependency of uncertainties," Energy, Elsevier, vol. 338(C).
    4. Agha Kassab, Fadi & Celik, Berk & Locment, Fabrice & Sechilariu, Manuela & Liaquat, Sheroze & Hansen, Timothy M., 2025. "Microgrid sizing with EV flexibility: Cascaded MILP and embedded APSO-MILP approaches," Applied Energy, Elsevier, vol. 396(C).
    5. Fahad R. Albogamy, 2022. "Optimal Energy Consumption Scheduler Considering Real-Time Pricing Scheme for Energy Optimization in Smart Microgrid," Energies, MDPI, vol. 15(21), pages 1-31, October.
    6. Ahmad Alzahrani & Ghulam Hafeez & Sajjad Ali & Sadia Murawwat & Muhammad Iftikhar Khan & Khalid Rehman & Azher M. Abed, 2023. "Multi-Objective Energy Optimization with Load and Distributed Energy Source Scheduling in the Smart Power Grid," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    7. Taimoor Ahmad Khan & Amjad Ullah & Ghulam Hafeez & Imran Khan & Sadia Murawwat & Faheem Ali & Sajjad Ali & Sheraz Khan & Khalid Rehman, 2022. "A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach," Energies, MDPI, vol. 15(23), pages 1-14, November.
    8. Nie, Binjian & She, Xiaohui & Du, Zheng & Xie, Chunping & Li, Yongliang & He, Zhubing & Ding, Yulong, 2019. "System performance and economic assessment of a thermal energy storage based air-conditioning unit for transport applications," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings interactions, uncertainty and sensitivity analysis," Applied Energy, Elsevier, vol. 288(C).
    10. Farzan, Hadi & Zaim, Ehsan Hasan & Ameri, Mehran & Amiri, Tayebeh, 2021. "Study on effects of wind velocity on thermal efficiency and heat dynamics of pavement solar collectors: An experimental and numerical study," Renewable Energy, Elsevier, vol. 163(C), pages 1718-1728.
    11. Zhang, Chenyu & Wang, Ning & Yang, Qiguo & Xu, Hongtao & Qu, Zhiguo & Fang, Yuan, 2022. "Energy and exergy analysis of a switchable solar photovoltaic/thermal-phase change material system with thermal regulation strategies," Renewable Energy, Elsevier, vol. 196(C), pages 1392-1405.
    12. Wang, Qi & Huang, Chunyi & Wang, Chengmin & Li, Kangping & Xie, Ning, 2024. "Joint optimization of bidding and pricing strategy for electric vehicle aggregator considering multi-agent interactions," Applied Energy, Elsevier, vol. 360(C).
    13. Jasrul Jamani Jamian & Nurul Nadia Ibrahim & Madihah Md Rasid, 2025. "Social Factor in Quadrilemma Optimization of Grid-Connected Industrial Microgrid Sizing Supporting Socio-Economic Development," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 2732-2742, September.
    14. Alya AlHammadi & Nasser Al-Saif & Ameena Saad Al-Sumaiti & Mousa Marzband & Tareefa Alsumaiti & Ehsan Heydarian-Forushani, 2022. "Techno-Economic Analysis of Hybrid Renewable Energy Systems Designed for Electric Vehicle Charging: A Case Study from the United Arab Emirates," Energies, MDPI, vol. 15(18), pages 1-20, September.
    15. Zhang, Liu & Zheng, Zhong & Chai, Yi & Zhang, Kaitian & Lian, Xiaoyuan & Zhang, Kai & Zhao, Liuqiang, 2024. "Enhancing robustness: Multi-stage adaptive robust scheduling of oxygen systems in steel enterprises under demand uncertainty," Applied Energy, Elsevier, vol. 359(C).
    16. Shijing Chen & Luxi Wei & Chan Huang & Yinghong Qin, 2025. "A Review on the Technologies and Efficiency of Harvesting Energy from Pavements," Energies, MDPI, vol. 18(15), pages 1-19, July.
    17. Kalim Ullah & Taimoor Ahmad Khan & Ghulam Hafeez & Imran Khan & Sadia Murawwat & Basem Alamri & Faheem Ali & Sajjad Ali & Sheraz Khan, 2022. "Demand Side Management Strategy for Multi-Objective Day-Ahead Scheduling Considering Wind Energy in Smart Grid," Energies, MDPI, vol. 15(19), pages 1-14, September.
    18. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu & Liu, Junyao, 2023. "A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective," Applied Energy, Elsevier, vol. 331(C).
    19. Junchao Cheng & Yongyi Huang & Hongjing He & Abdul Matin Ibrahimi & Tomonobu Senjyu, 2023. "Optimal Operation of CCHP System Combined Electric Vehicles Considering Seasons," Energies, MDPI, vol. 16(10), pages 1-21, May.
    20. Siqin, Zhuoya & Niu, DongXiao & Li, MingYu & Gao, Tian & Lu, Yifan & Xu, Xiaomin, 2022. "Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation," Applied Energy, Elsevier, vol. 321(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:238:y:2025:i:c:s0960148124019839. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.