Estimation of regional electric vehicle ownership considering master-slave game of carbon trading
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(1. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China;2. Zhenjiang Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd. , Zhenjiang 212000, China)

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TM715;U491

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    Abstract:

    In order to further promote the development of electric vehicles, a method for estimating the ownership of electric vehicles is pro posed considering the master-slave game of carbon trading among the government, suppliers, and consumers. Firstly, based on the interests of the three parties, a master-slave game model led by the government is established. Secondly, considering the innovation, imitation effect,and price factors of the population, the Bass model is improved to predict the regional electric vehicle ownership. Furthermore, the utility functions of the three parties in the game are optimized as the objective function, in order to obtain the basic data under the Nash equilibrium solution for the parameters of the Bass model. And then, establishes a regional electric vehicle ownership prediction method is established by alternating between ownership prediction and vehicle market game simulation. Finally, with actual vehicle data from Shanghai,the impact of introducing carbon trading into the vehicle market on the number of electric vehicles is analyzed in the coming years.Through scenario comparison, the feasibility and economy of the proposed method are verified.

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王嘉诚,刘晓峰,梅文卿,孙海翔,季振亚,刘国宝.计及碳交易主从博弈的区域电动汽车保有量推演[J].电力需求侧管理英文版,2025,27(3):71-76.

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History
  • Received:March 02,2025
  • Revised:April 03,2025
  • Adopted:
  • Online: June 25,2025
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