TITLE
SIMULATION AND OPTIMIZATION OF ELECTRIC VEHICLE CHARGING IN LOW-VOLTAGE DISTRIBUTION NETWORKS USING PYTHON
AUTHOR(S)
Plamen Stanchev*, Yordan Petkov
ABSTRACT
The article presents a simulation model of an LV power distribution network with integrated charging stations for electric vehicles, implemented in the Python programming environment using the pandapower library. The model combines static loads (households and public consumers) and dynamic loads based on real hourly profiles of charging stations from public points in Hamburg, Germany. Through a 24-hour simulation, the change in the voltage profile, active power losses, and the total load of the network under different charging modes are analyzed.
The results show that the simultaneous charging of several electric vehicles leads to a decrease in the voltage at the end nodes to 0.90 p.u. and an increase in active losses by over 20% compared to the minimum values. The proposed model provides a reliable basis for studying the impact of electric vehicles on the LV power distribution network and for developing strategies for optimal and intelligent charging management (smart charging). Keywords: charging station, energy flows, smart charging, efficiency.
DOI
How to cite this article:
Plamen Stanchev*, Yordan Petkov, SIMULATION AND OPTIMIZATION OF ELECTRIC VEHICLE CHARGING IN LOW-VOLTAGE DISTRIBUTION NETWORKS USING PYTHON, UNITECH – SELECTED PAPERS - 2025