Charging load prediction of electric vehicle based on Monte Carlo method

Jie Hu; Shengguo Zhang; Chao Ma; Zihao Wang; Changxun Yu

doi:10.1117/12.3024473

13 May 2024 Charging load prediction of electric vehicle based on Monte Carlo method

Jie Hu, Shengguo Zhang, Chao Ma, Zihao Wang, Changxun Yu

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315993 (2024) https://doi.org/10.1117/12.3024473
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Large-scale Electric Vehicle (EV) charging may have a series of impacts on the power grid. Based on Vehicle-to-Grid (V2G) technology, to predict the charging load of electric vehicles, this paper analyses the driving habits of electric vehicles and the charging characteristics of cluster electric vehicles connected to the power grid, establishes a mathematical model, and calculates the charging load of electric vehicles using Monte Carlo method. Taking Lanzhou as an example, the charging load is predicted on the basis of the numerical prediction of electric vehicles, and the load curve is finally obtained.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Hu, Shengguo Zhang, Chao Ma, Zihao Wang, and Changxun Yu "Charging load prediction of electric vehicle based on Monte Carlo method", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315993 (13 May 2024); https://doi.org/10.1117/12.3024473

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