Abstract
The rapid growth of new energy vehicles (NEVs) in Shenzhen has necessitated the expansion of the city’s supercharging infrastructure. As of June 2023, Shenzhen has established a comprehensive charging network with over 7,600 stations and 190,000 facilities, including 44 supercharging stations. This study analyzes the operational characteristics and impacts of these supercharging stations on the local distribution network. Through clustering analysis of charging load data from 20 typical stations, four distinct load patterns were identified: “Multiple Peaks in a Day,” “Noon Peak,” “Morning Valley and Evening Peak,” and “Flat.” The study highlights the influence of user travel habits and charging costs on these patterns. Additionally, variations in load characteristics between weekdays and weekends were observed, indicating changes in user behavior. The findings provide insights into the efficient integration of supercharging facilities into urban power grids and support the strategic planning of future infrastructure development in line with Shenzhen’s “Supercharging City” initiative.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang, Y., Wang, C.: Impact of electric vehicle charging on power grid load and solutions. J. Power. Sources 450, 227667 (2020)
Li, J., Chen, H.: Analysis of electric vehicle charging station distribution and its impact on urban power grids. Energy Rep. 5, 1115–1123 (2019)
Wang, X., Liu, Z.: Optimization of charging infrastructure for electric vehicles: a review. Renew. Sustain. Energy Rev. 145, 111081 (2021)
Zhao, L., Sun, Y.: The role of fast charging stations in urban electric vehicle adoption. Transp. Res. Part D: Transp. Environ. 85, 102390 (2020)
Chen, M., Zhang, T.: Electric vehicle charging infrastructure planning: a review of models and methods. Renew. Sustain. Energy Rev. 82, 1927–1940 (2018)
Liu, Y., Gao, J.: The impact of electric vehicle charging on power grid stability. J. Clean. Prod. 215, 444–456 (2019)
Xu, Q., Li, S.: Strategies for integrating electric vehicle charging stations into smart grids. Energy 219, 119555 (2021)
Huang, R., Wang, J.: Assessing the impact of electric vehicle charging on distribution networks. Appl. Energy 262, 114553 (2020)
Feng, S., Yang, X.: Electric vehicle charging infrastructure and its impact on power grid load. Energy Procedia 158, 4363–4368 (2019)
Zhang, L., Zhou, P.: The development of electric vehicle charging infrastructure in china: challenges and opportunities. Energy Policy 149, 112023 (2021)
Wang, H., Li, Y.: Electric vehicle charging demand and its impact on power grid load. J. Energy Storage 32, 101859 (2020)
Chen, X., Liu, H.: The role of electric vehicle charging stations in urban energy systems. Energy Convers. Manage. 171, 133–142 (2018)
Zhao, Y., Zhang, Q.: Electric vehicle charging infrastructure: a review of current development and future perspectives. Renew. Sustain. Energy Rev. 113, 109254 (2019)
Li, F., Wang, Z.: The impact of electric vehicle charging on power grid load and solutions. Energy Rep. 6, 1115–1123 (2020)
Sun, J., Chen, L.: Electric vehicle charging infrastructure and its impact on power grid load. Energy Procedia 158, 4363–4368 (2021)
Acknowledgement
The authors gratefully acknowledge the editor and the reviewers’ comments and helpful suggestions. This research is supported in part by the Guangdong Provincial Department of Education’s General University Characteristic Innovation Project (2022WTSCX265), the Shenzhen Philosophy and Social Science Co-construction Project (SZ2022D038), the Shenzhen Polytechnic University Research Start-up Project (6022312019K), and the Shenzhen Polytechnic University Social Science Youth Innovation Project (6022310013S).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ma, Y., Wang, X. (2025). Analysis of the Operational Characteristics and Impact of Large-Scale Integration of Supercharging Equipment in Shenzhen. In: Zeng, J., Zhang, LJ. (eds) Edge Computing – EDGE 2024. EDGE 2024. Lecture Notes in Computer Science, vol 15424. Springer, Cham. https://doi.org/10.1007/978-3-031-77069-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-77069-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-77068-5
Online ISBN: 978-3-031-77069-2
eBook Packages: Computer ScienceComputer Science (R0)