Mobile energy storage vehicles (MESVs) are increasingly becoming a promising solution to deal with the imbalance between electricity supply and demand along highways. The paper assumes a scenario where multiple MESVs charge the energy storage battery pack (ESBP) in the highway management center (HMC) and drive separately to the highway service area (HSA) to meet energy demands from flexible loads. The paper proposes a novel scheduling strategy for highway MESVs, considering flexible loads and the renewable generation. The proposed scheduling strategy aims to maximize the net revenue of energy sales from MESVs scheduling with reducing scheduling and charging costs. Based on the traffic characteristics of the highway, the paper establishes the time-space and energy constraints for MESVs. Then, the paper adopts a mixed integer quadratic constraint programming (MIQCP) model to obtain the optimal MESVs path and charging/discharging strategy. Numerical case studies have shown that the proposed scheduling strategy can alleviate the problem of insufficient power supply along highways, and improve the utilization rate of renewable resources.


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    Title :

    Scheduling Strategy for Highway Mobile Energy Storage Vehicles


    Contributors:
    Wang, Dawei (author) / Xu, Hongke (author) / Dai, Liang (author) / Zhang, Chunyang (author) / Zhang, Lina (author)


    Publication date :

    2023-11-17


    Size :

    1631739 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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