Abstract:Under the dual carbon goal, electric vehicles, due to their advantages of green, low-carbon, energy-saving and emission reduction, can reduce human dependence on fossil fuels and become an important means of achieving "dual carbon" development. After proposing the "dual carbon target" in 2020, according to statistics from the China Association of Automobile Manufacturers, the market penetration rate of electric vehicles in China increased from 6% in 2020 to 26% in 2022. It has the world''s largest electric vehicle market, and a large number of electric vehicles are connected to the grid for charging, which will have an impact on the safety and stability of grid operation. Therefore, it is necessary to accurately model the load of electric vehicles. On the basis of conventional electric vehicle load statistics, this article supplements the consideration of vehicle pile adaptation, supply demand adaptation, and comprehensively considers the influencing factors of the two, and proposes a park electric vehicle load statistics method under different adaptation degrees. Through the basic situation of the park, simulation modeling is conducted to verify the rationality and effectiveness of the proposed method. Through comparative analysis, the accuracy of the proposed method is verified.