Multi-objective optimal charging scheduling strategy for electric vehicles considering traffic flow, power grid, and charging stations

Weiwei Kong; Tianmao Cai; Yuezhen Fan; Fachao Jiang; Shuang Wan

doi:10.1117/12.2627941

14 March 2022 Multi-objective optimal charging scheduling strategy for electric vehicles considering traffic flow, power grid, and charging stations

Weiwei Kong, Tianmao Cai, Yuezhen Fan, Fachao Jiang, Shuang Wan

Author Affiliations +

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121650B (2022) https://doi.org/10.1117/12.2627941
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

This paper aims to propose a multi-objective optimal charging scheduling strategy for large-scale electric vehicles (EVs), considering traffic flow, power grid and charging stations all together. First, based on the characteristics of these three systems, the mathematical model that characterizes the performance of the traffic flow, power grid and charging stations is designed separately. The multi-objective optimization function and constraints are established, taking the speed of traffic flow, charging load of the power grid, and the quantity of EVs in charging stations as the optimization targets. Then, a simulation platform is built, and a practical case is studied within the third ring of Beijing. 24 h simulation test for 242,880 EVs is performed, and the effectiveness of the proposed strategy is verified by comparative analysis.

Citation Download Citation

Weiwei Kong, Tianmao Cai, Yuezhen Fan, Fachao Jiang, and Shuang Wan "Multi-objective optimal charging scheduling strategy for electric vehicles considering traffic flow, power grid, and charging stations", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121650B (14 March 2022); https://doi.org/10.1117/12.2627941

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