The upcoming paradigm shift of transportation electrification will crucially change the spatial-temporal power demand profile imposed on our power grid. This paper proposes aggregated macroscopic traffic models that can be scalable to metropolitan scale real-time applications. Moreover, the prime focus lies on first-principle-based models that can properly capture the spatial-temporal evolution of traffic jams. This paper develops unified modeling frameworks for coupled traffic and power infrastructure, that capture the major cross-interactions between vehicular traffic flow and the power grid. The proposed models can then be used for long-time development of the power grid to facilitate possible traffic scenarios, energy trading, and short-time control to implement power grid response actions to traffic incidents.


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    Title :

    Spatial-Temporal EV Charging Demand Model Considering Generic Second-Order Traffic Flows


    Contributors:
    Ross, Megan (author) / Du, Liang (author) / Seibold, Benjamin (author)


    Publication date :

    2021-06-21


    Size :

    2676555 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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