The installed capacity of renewable energy in the distribution network poses challenges to the stability of the networks due to their intermittency and volatility. To address this issue, an optimized scheduling strategy for electric vehicle charging and discharging considering traffic network information is proposed. Firstly, the interaction factors and methods of the electric transportation coupling network are analyzed, and a control framework for electric vehicle charging and discharging is proposed. Secondly, an optimization model for electric vehicle charging and discharging travel paths is proposed based on road resistance information and vehicle origin-destination matrices. Finally, considering the curtailment cost of renewable energy, an electric vehicle charging and discharging scheduling model based on the system's optimal cost is established. Simulations on the improved IEEE 33-node system demonstrate that the proposed strategy effectively solves the low-voltage problem at the terminal nodes of the distribution network while considering the system cost, achieving efficient integration of renewable energy.


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    Title :

    An Optimized Scheduling Strategy for Electric Vehicle Charging and Discharging Considering Traffic Network Information


    Contributors:
    Chen, Huaming (author) / Chen, Yinggao (author) / Ling, Lang (author) / Ma, Tiejun (author) / Wang, Zheng (author) / Jin, Tao (author)


    Publication date :

    2024-11-15


    Size :

    2106102 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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