Research on optimal configuration method of multi-functional electric vehicle charging station in energy market environment

Zhao Yang; Bao-sheng Chen; Dong-ni Wei; Bin Che

doi:10.1117/12.3007609

25 October 2023 Research on optimal configuration method of multi-functional electric vehicle charging station in energy market environment

Zhao Yang, Bao-sheng Chen, Dong-ni Wei, Bin Che

Author Affiliations +

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280155 (2023) https://doi.org/10.1117/12.3007609
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

In this paper, a method for optimizing the configuration of a multi-station fusion system is proposed, taking into account the energy market conditions, to address the needs of renewable energy utilization, energy saving and emission reduction in the context of "carbon neutrality". The objective of this method is to maximize the life-cycle operational efficiency of the multi-station fusion system in the market environment, based the price signals of power trading and carbon trading in the external energy market, as well as random factors and constraints such as resource endowment, geographic conditions, charging load demand, and backup capacity. The analysis based on typical cases is presented in the paper to verify the correctness and effectiveness of the method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhao Yang, Bao-sheng Chen, Dong-ni Wei, and Bin Che "Research on optimal configuration method of multi-functional electric vehicle charging station in energy market environment", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280155 (25 October 2023); https://doi.org/10.1117/12.3007609

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