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Resilience enhancement for power distribution networks in coordination with electric vehicle fleets

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  • Dong, Qianyu
  • Zhou, Guanyu
  • Huang, Qilin
  • Dong, Zhaoyang
  • Jia, Youwei

Abstract

With the global shift towards decarbonized transportation, the adoption of company-owned electric vehicle (EV) fleets is rapidly increasing worldwide. This paper explores the potential of these EV fleets to enhance resilience in power distribution networks through strategic charging station planning and effective post-disaster restoration. Towards this end, a tri-level optimization model is proposed to tackle i) the optimal location problem for charging stations considering grid resilience, and ii) the post-disaster restoration challenge by incentivizing EV fleets for backup power provision. Specifically, multiple performance indices are proposed within the coupled network to facilitate optimal charging station deployment. In addition, an advanced choice model is constructed to analyze the behavioral tendencies of fleet operators. To resolve the proposed model, an accelerated nested column-and-constraint generation (A-NC&CG) algorithm is presented. Numerical case studies performed on two illustrative coupled networks demonstrate that the proposed model can incentivize EV fleets to enhance grid resilience cost-effectively.

Suggested Citation

  • Dong, Qianyu & Zhou, Guanyu & Huang, Qilin & Dong, Zhaoyang & Jia, Youwei, 2025. "Resilience enhancement for power distribution networks in coordination with electric vehicle fleets," Applied Energy, Elsevier, vol. 390(C).
    • Handle: RePEc:eee:appene:v:390:y:2025:i:c:s0306261925004866
    DOI: 10.1016/j.apenergy.2025.125756
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    References listed on IDEAS

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    1. Dwivedi, Divyanshi & Babu, K. Victor Sam Moses & Yemula, Pradeep Kumar & Chakraborty, Pratyush & Pal, Mayukha, 2025. "A comprehensive metric for resilience evaluation in electrical distribution systems under extreme conditions," Applied Energy, Elsevier, vol. 380(C).
    2. Pacheco Paneque, Meritxell & Bierlaire, Michel & Gendron, Bernard & Sharif Azadeh, Shadi, 2021. "Integrating advanced discrete choice models in mixed integer linear optimization," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 26-49.
    3. Zhang, Xi & Dong, Zihang & Huangfu, Fenyu & Ye, Yujian & Strbac, Goran & Kang, Chongqing, 2024. "Strategic dispatch of electric buses for resilience enhancement of urban energy systems," Applied Energy, Elsevier, vol. 361(C).
    4. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
    5. Liu, Shanshan & Vlachokostas, Alex & Kontou, Eleftheria, 2025. "Leveraging electric vehicles as a resiliency solution for residential backup power during outages," Energy, Elsevier, vol. 318(C).
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, June.
    7. Zhou, Yizhou & Li, Xiang & Han, Haiteng & Wei, Zhinong & Zang, Haixiang & Sun, Guoqiang & Chen, Sheng, 2024. "Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach," Applied Energy, Elsevier, vol. 353(PA).
    8. Mishra, Dillip Kumar & Ghadi, Mojtaba Jabbari & Li, Li & Zhang, Jiangfeng & Hossain, M.J., 2022. "Active distribution system resilience quantification and enhancement through multi-microgrid and mobile energy storage," Applied Energy, Elsevier, vol. 311(C).
    9. Wang, Zhaoqi & Zhang, Lu & Tang, Wei & Ma, Ziyao & Huang, Jiajin, 2024. "Equilibrium configuration strategy of vehicle-to-grid-based electric vehicle charging stations in low-carbon resilient distribution networks," Applied Energy, Elsevier, vol. 361(C).
    10. Chow, Joseph Y.J. & Regan, Amelia C., 2011. "Network-based real option models," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 682-695, May.
    11. Fei Xue & Yingyu Xu & Huaiying Zhu & Shaofeng Lu & Tao Huang & Jinling Zhang, 2017. "Structural Evaluation for Distribution Networks with Distributed Generation Based on Complex Network," Complexity, Hindawi, vol. 2017, pages 1-10, October.
    12. Mohseni, Soheil & Khalid, Roomana & Brent, Alan C., 2023. "Stochastic, resilience-oriented optimal sizing of off-grid microgrids considering EV-charging demand response: An efficiency comparison of state-of-the-art metaheuristics," Applied Energy, Elsevier, vol. 341(C).
    13. Xu, Yihao & Xing, Yankai & Zhang, Guangdou & Li, Jian & An, Haopeng & Bamisile, Olusola & Huang, Qi, 2024. "Multi-objective resilient recovery strategy for urban wind-solar-MPS-EV electric system after disastrous events," Applied Energy, Elsevier, vol. 369(C).
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