A quantitative assessment method for electric vehicle acceptance capacity considering orderly charging

Liyong Wei; Jian Zhang; Yanjun Xi; Qiang Wang; Xuze Zhang; Yang Ji

doi:10.1117/12.3004529

25 September 2023 A quantitative assessment method for electric vehicle acceptance capacity considering orderly charging

Liyong Wei, Jian Zhang, Yanjun Xi, Qiang Wang, Xuze Zhang, Yang Ji

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127881M (2023) https://doi.org/10.1117/12.3004529
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In this paper, by studying the sensitivity of reliability indicators to the scale of electric vehicles, a new perspective can be found to quantitatively assess the electric vehicle acceptance capacity. Firstly, an EV charging load model and an optimization strategy for orderly peak and valley tariff periods are established; secondly, indicators such as maximum acceptance and reliability sensitivity are proposed to quantitatively characterize the system's ability to withstand EV access; finally, a quantitative assessment method for EV acceptance taking into account orderly charging is proposed in combination with traditional reliability assessment methods, and a significant sampling method is used to improve the sampling simulation efficiency. The quantitative assessment method and metrics can be extended and applied to the actual grid regulation of EV access scale to ensure the safety and reliability of the system.

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

Citation Download Citation

Liyong Wei, Jian Zhang, Yanjun Xi, Qiang Wang, Xuze Zhang, and Yang Ji "A quantitative assessment method for electric vehicle acceptance capacity considering orderly charging", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127881M (25 September 2023); https://doi.org/10.1117/12.3004529

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