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Co-optimize recovery modeling for transportation and power network with multi-type mobile resources dispatching

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  • Sun, Shaohua
  • Li, Gengfeng
  • Yang, Qiming
  • Bie, Zhaohong

Abstract

The dispatching of repair resources and mobile energy storage systems (MESSs) is essential for rapid recovery of distribution systems (DS) after extreme events. However, while causing high losses to power system, extreme events also significantly affect normal operation of transportation network (TN). Therefore, the coordinate recovery model of transportation and power network (TPN) is introduced. The dispatching model of road repair crews (RRCs) and shortest road update model will involve plenty of variables, which are extremely time-consuming. To address this issue, firstly the coupling nexus between TPN and multi-type mobile resources (MMRs) is analyzed. Then, the concept of road island and radial constraints of road repair are introduced to simplify the update of transportation topology and shortest path searching. Finally, we propose a coordinate recovery model of TPN considering the dispatching of MMRs. The case analysis demonstrates that comprehensive recovery strategy of TPN are generated to improve power recovery, especially by power transfer of MESSs, topologized by the behavior of RRCs for TN, and topologized by the behavior of line repair crews (LRCs) for DS. The simplification method reduces model scale and computational complexity, significantly improves the solution efficiency.

Suggested Citation

  • Sun, Shaohua & Li, Gengfeng & Yang, Qiming & Bie, Zhaohong, 2024. "Co-optimize recovery modeling for transportation and power network with multi-type mobile resources dispatching," Applied Energy, Elsevier, vol. 366(C).
    • Handle: RePEc:eee:appene:v:366:y:2024:i:c:s0306261924004574
    DOI: 10.1016/j.apenergy.2024.123074
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    References listed on IDEAS

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    1. Pan, Shouzheng & Yan, Hai & He, Jia & He, Zhengbing, 2021. "Vulnerability and resilience of transportation systems: A recent literature review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    2. Sun, Lishan & Huang, Yuchen & Chen, Yanyan & Yao, Liya, 2018. "Vulnerability assessment of urban rail transit based on multi-static weighted method in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 108(C), pages 12-24.
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