The increasingly frequent occurrence of natural disasters has severely interfered with the operation of fundamental infrastructures such as power, transportation, and communication systems. For these decades-old infrastructures, enhancing the system resilience requires extremely high upgrade expenditure. Therefore, more flexible and cost-efficient solutions are in urgent demand. Equipped with on-broad large-capacity batteries, electric vehicles (EVs) could serve as mobile post-disaster rescue devices, namely mobile energy storage (MES). This paper proposes a flexible post-disaster rescue scheme using mobile and connected EVs as MESs to supply emergency resources before the fundamental infrastructures fully recover. Different from existing literature, this paper uncovers the potential energy supply and communication capabilities of MESs to provide damaged areas with on-demand energy and communication resources. Specifically, the uncertainty of natural disasters of tornadoes and flooding is modelled during different scenario generations. Then, a two-stage stochastic programming problem is formulated to determine the MES deployment location in the pre-disaster stage and the MES service operation in the post-disaster stage. The generated disaster scenarios are integrated into the formulated problem to ensure a statistically optimal result. Simulation results validate the optimality of the proposed scheme compared to benchmark schemes.


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    Titel :

    Resilient Post-Disaster Rescue Framework Using Mobile and Connected Electric Vehicles


    Beteiligte:
    Zheng, Yang (Autor:in) / Chen, Nan (Autor:in) / Wang, Miao (Autor:in)


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    300621 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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