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25 April 2023 Analysis of carbon emission reduction benefits of interaction between V2G energy storage clusters of electric vehicles and power grids
Xiaofeng Peng, Wen Wang, Yunlong Chen, Ruohan Wang, Jing Li, Mengjiao Zou, Ye Yang, Mingcai Wang, Yunjuan Liu, Dunnan Liu
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Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 125981M (2023) https://doi.org/10.1117/12.2672899
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China
Abstract
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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Xiaofeng Peng, Wen Wang, Yunlong Chen, Ruohan Wang, Jing Li, Mengjiao Zou, Ye Yang, Mingcai Wang, Yunjuan Liu, and Dunnan Liu "Analysis of carbon emission reduction benefits of interaction between V2G energy storage clusters of electric vehicles and power grids", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 125981M (25 April 2023); https://doi.org/10.1117/12.2672899
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KEYWORDS
Carbon
Renewable energy
Power grids
Power consumption
Transportation
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