| Issue |
E3S Web Conf.
Volume 561, 2024
The 8th International Conference on Energy, Environment and Materials Science (EEMS 2024)
|
|
|---|---|---|
| Article Number | 02023 | |
| Number of page(s) | 5 | |
| Section | Intelligent Environment Planning and Green Development | |
| DOI | https://doi.org/10.1051/e3sconf/202456102023 | |
| Published online | 09 August 2024 | |
Carbon emission reduction prediction of integrated light-storage charging station based on electric vehicle charging demand
1 Economic Research Institute of State Grid Jiangxi Electric Power Company, Nanchang, Jiangxi 330096, China
2 State Grid Jiangxi Electric Vehicle Service Co., LTD, China
3 Changsha University of Science and Technology, Changsha, Hunan 410114, China
* Corresponding author: liyuting18@126.com
Our country will further promote carbon peak, carbon neutral, build a new type of power system with new energy as the main body, and the development of light storage integration becomes an inevitable trend. Therefore, this paper takes electric vehicle charging load curve and photovoltaic power generation curve as the main indicators to predict carbon emission reduction. Firstly, factors affecting the charging load of electric vehicles are analyzed, and the charging load of electric vehicles is predicted by Monte Carlo method. Then, a distributed photovoltaic sunrise force model is established considering weather factors to study the relationship between photovoltaic output and the supply and demand of electric vehicles, so as to establish a carbon emission reduction model considering the charging demand of electric vehicles, so as to realize the carbon emission reduction prediction of integrated optical storage charging stations. It provides the basis for the future development of renewable energy.
© The Authors, published by EDP Sciences, 2024
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