Implementation and Simulation of a Load Balancing Solution for Electric Vehicle Charge Points

The rising prevalence of electric vehicles (EVs) necessitates advancements in supporting infrastructure, particularly in charging point (CP) management. This paper proposes a solution to determine the maximum power limit for one or more charge points, considering the actual power consumption of the building and charger parameters. The problem formulation highlights the necessity of load balance algorithms due to challenges posed by existing power grid limitations and dynamic consumer demands. The paper reviews existing solutions, introduces a load balance algorithm, presents simulation results, and discusses potential enhancements. The algorithm dynamically adjusts charger power limits based on real-time data, prioritizing efficient charging while ensuring system stability.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/sisy62279.2024.10737522
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

Implementation and Simulation of a Load Balancing Solution for Electric Vehicle Charge Points

Gergely Sebestyén, József Kopják, István Szűcs
1 citations
Electric and Hybrid Vehicle Technologies
0.20
article

Implementation and Simulation of a Load Balancing Solution for Electric Vehicle Charge Points

Gergely Sebestyén, József Kopják, István Szűcs
article en
1 citations

Abstract

The rising prevalence of electric vehicles (EVs) necessitates advancements in supporting infrastructure, particularly in charging point (CP) management. This paper proposes a solution to determine the maximum power limit for one or more charge points, considering the actual power consumption of the building and charger parameters. The problem formulation highlights the necessity of load balance algorithms due to challenges posed by existing power grid limitations and dynamic consumer demands. The paper reviews existing solutions, introduces a load balance algorithm, presents simulation results, and discusses potential enhancements. The algorithm dynamically adjusts charger power limits based on real-time data, prioritizing efficient charging while ensuring system stability.

Obuda University (HU), Buda Health Center (HU)
Affordable and clean energy
Openalex Percentile: Top 49%
Electric and Hybrid Vehicle Technologies
0.20
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Implementation and Simulation of a Load Balancing Solution for Electric Vehicle Charge Points — Gergely Sebestyén, József Kopják, et al. · (2024) | TGRS Research Map | TGRS