| Issue |
EPJ Web Conf.
Volume 372, 2026
Advanced Power Systems (APS 2026)
|
|
|---|---|---|
| Article Number | 07001 | |
| Number of page(s) | 7 | |
| Section | Power and Energy Systems | |
| DOI | https://doi.org/10.1051/epjconf/202637207001 | |
| Published online | 11 June 2026 | |
https://doi.org/10.1051/epjconf/202637207001
Dynamic power redistribution among electric vehicle charging stations in distribution networks
1 Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Masiarska 74, Kosice, Slovakia
2 Department of Power Electronics and Power Engineering, Rzeszow University of Technology, Rzeszow, Poland
3 TÜV Rheinland Polska Sp. z o.o., ul. Wolności 347, 41-800 Zabrze, Poland
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 11 June 2026
Abstract
The rapid growth of electric vehicle charging in urban areas imposes increasing stress on low- and medium-voltage distribution networks, leading to voltage deviations, higher current loading, and harmonic distortion. This paper investigates dynamic power redistribution among multiple EV charging stations as a means of mitigating these effects. A detailed simulation model of a residential-commercial distribution feeder, including EV chargers and power electronic interfaces, was developed in MATLAB/Simulink. Single-phase and three-phase charging scenarios, with and without LCL filters, were analysed. The proposed dynamic control strategy adapts charging currents according to available feeder capacity and real-time network conditions. Simulation results show that dynamic power redistribution improves voltage profiles, reduces peak loading of lines and transformers, and decreases total harmonic distortion compared to conventional fixed-power charging. The paper confirms that coordinated and adaptive charging can significantly increase the hosting capacity of distribution networks for EV without immediate grid reinforcement.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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