Under the background of 30.60 double carbon target, the development space and market prospect of energy-saving and emission reduction electric vehicles are generally optimistic. Interacting with the grid through the V2G energy storage cluster for electric vehicles can further promote carbon emission reduction in response to the consumption of renewable energy. Firstly, combined with the historical data of electric vehicle ownership in Beijing from 2016 to 2021, this paper uses Bass model to predict the electric vehicle ownership in Beijing from 2022 to 2030. Secondly, it puts forward the calculation method of carbon emission reduction under non aggregation operation and aggregation operation mode and explains the steps of signing agency contract between load aggregator and electric vehicle load resource operator. Finally, a multi-objective optimization model considering the minimization of aggregate user response compensation cost and the minimization of carbon emissions of electric vehicles is constructed, and the carbon emission reduction benefits of V2G energy storage clusters of electric vehicles are analyzed.
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