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OPTIMAL DISTRIBUTION OF ELECTRICAL POWER BETWEEN A PAIR UNITS OF CHARGING STATION

Krasimira Stoilova, Todor Stoilov

First published: 2025-08-15https://doi.org/10.5593/sgem2025/4.1/s16.16View metrics

Abstract

One of the directions towards a green energy transition is the spread of electric vehicles in the transportation sector. This necessitated the installation of electric charging stations, but as their number increases, so do the problems with their management and the increasing consumption of electricity. In this regard, there is a need to search for intelligent management solutions in the transition to alternative energy sources. This research is related to the development of a project to build a smart system for powering electric vehicles using renewable energy sources. An element of this system is the optimal redistribution of energy. This research focuses on distributing electrical power between different connectors of a charging station. Due to infrastructure constraints, the charging station can receive limited electrical power. This power must be distributed to charge the battery between simultaneously charging electric vehicles (EV). This distribution is estimated by minimizing the total charging time of all vehicles. The paper provides a formal representation of this optimization problem. Since dual charging stations are most commonly encountered, the problem is defined for the case of two simultaneously charging EVs. In the case the EVs power demand is higher than the station power, the solution allows minimizing the charging time for all EVs. Numerical simulations illustrate the benefit of power distribution.

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Publication details

Title
OPTIMAL DISTRIBUTION OF ELECTRICAL POWER BETWEEN A PAIR UNITS OF CHARGING STATION
Authors
Krasimira Stoilova, Todor Stoilov
Proceedings
25th International Multidisciplinary Scientific GeoConference Proceedings SGEM2025, Energy and Clean Technologies, Vol25, Issue 4.1
Publisher
STEF92 Technology
Year
2025
Pages
125-132
SWS Citekey
Stoilova202516125132
ISSN
1314-2704; 13142704
ISBN
9786197603835
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References11
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