At present, the charge station operator (CSO) has invested a lot of money in the construction of charging stations, but it is difficult to make profits due to problems such as competitive pressure and single business mode; therefore, a charging pricing strategy of CSOs considering dual business mode based on noncooperative game is proposed. First, the dynamic road network and Floyd algorithm are combined to simulate the travel of electric vehicles (EVs) and predict the spatial-temporal distribution of the charging demand. Second, an EV charging station selection and charging quantity decision model that considers charging preference is established. Considering the business mode of behavior-based pricing (BBP) and service level difference, a CSO charging pricing model based on a noncooperative game is then constructed with the goal of maximizing the profits of CSOs. Finally, the effectiveness of the proposed strategy is verified by the simulation based on a regional road network and the IEEE33 node distribution system. The results demonstrate that the proposed strategy can alleviate direct price competition and increase profitability. The proposed strategy will improve investment enthusiasm among CSOs and meet the diverse charging demand of EV users.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Charging Pricing Strategy of Charging Operators Considering Dual Business Mode Based on Noncooperative Game


    Contributors:
    Dong, Xiaohong (author) / Si, Qianyu (author) / Yu, Xiaodan (author) / Mu, Yunfei (author) / Ren, Yanqi (author) / Dong, Xing (author)


    Publication date :

    2025-06-01


    Size :

    1511451 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English