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ARTICLE

Dispatchable Capability of Aggregated Electric Vehicle Charging in Distribution Systems

by Shiqian Wang1, Bo Liu1, Yuanpeng Hua1, Qiuyan Li1, Binhua Tang2,*, Jianshu Zhou2, Yue Xiang2

1 Economic and Technology Research Institute, State Grid Henan Electric Power Company, Zhengzhou, 450052, China
2 College of Electrical Engineering, Sichuan University, Chengdu, 610065, China

* Corresponding Author: Binhua Tang. Email: email

Energy Engineering 2025, 122(1), 129-152. https://doi.org/10.32604/ee.2024.054867

Abstract

This paper introduces a method for modeling the entire aggregated electric vehicle (EV) charging process and analyzing its dispatchable capabilities. The methodology involves developing a model for aggregated EV charging at the charging station level, estimating its physical dispatchable capability, determining its economic dispatchable capability under economic incentives, modeling its participation in the grid, and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable capability. The results indicate that using economic dispatchable capability reduces charging prices by 9.7% compared to physical dispatchable capability and 9.3% compared to disorderly charging. Additionally, the peak-to-valley difference is reduced by 64.6% when applying economic dispatchable capability with 20% EV penetration and residential base load, compared to disorderly charging.

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Cite This Article

APA Style
Wang, S., Liu, B., Hua, Y., Li, Q., Tang, B. et al. (2025). Dispatchable capability of aggregated electric vehicle charging in distribution systems. Energy Engineering, 122(1), 129-152. https://doi.org/10.32604/ee.2024.054867
Vancouver Style
Wang S, Liu B, Hua Y, Li Q, Tang B, Zhou J, et al. Dispatchable capability of aggregated electric vehicle charging in distribution systems. Energ Eng. 2025;122(1):129-152 https://doi.org/10.32604/ee.2024.054867
IEEE Style
S. Wang et al., “Dispatchable Capability of Aggregated Electric Vehicle Charging in Distribution Systems,” Energ. Eng., vol. 122, no. 1, pp. 129-152, 2025. https://doi.org/10.32604/ee.2024.054867



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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