Research on optimal planning of electric vehicle charging station based on ADMM algorithm

Xuze Zhang; Yinming Bai; Fuqing Wang; Jian Zhang; Qin Xie

doi:10.1117/12.2674591

23 May 2023 Research on optimal planning of electric vehicle charging station based on ADMM algorithm

Xuze Zhang, Yinming Bai, Fuqing Wang, Jian Zhang, Qin Xie

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 1260443 (2023) https://doi.org/10.1117/12.2674591
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

With the popularity of electric vehicles, the impact of electric vehicle charging on the power grid is also growing. The planning of charging stations not only affects the user experience, but also affects the stable operation of the power grid. By analyzing the impact of charging stations on the power grid and users, as well as the correlation between their construction costs and operating costs, the planning problem of electric vehicle charging stations is modeled as a solution problem under multi-objective and multi constraint conditions, and ADMM algorithm is used to solve the problem. A commercial district is taken as an example for analysis and testing, and the results prove the effectiveness of the proposed algorithm.

Citation Download Citation

Xuze Zhang, Yinming Bai, Fuqing Wang, Jian Zhang, and Qin Xie "Research on optimal planning of electric vehicle charging station based on ADMM algorithm", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 1260443 (23 May 2023); https://doi.org/10.1117/12.2674591

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