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Optimizing Energy Efficiency and Grid Stability via Public EV Charging Flexibility

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Mathematics > Optimization and Control

arXiv:2608.18126 (math)
[Submitted on 23 Jul 2026]

Title:Optimizing Energy Efficiency and Grid Stability via Public EV Charging Flexibility

View a PDF of the paper titled Optimizing Energy Efficiency and Grid Stability via Public EV Charging Flexibility, by Marek Miltner and Artem Bryksa and Ond\v{r}ej \v{S}togl and Daniel Va\v{s}ata and Magda Friedjungov\'a and Ram Rajagopal and Old\v{r}ich Star\'y
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Abstract:This study evaluates the potential of electric vehicle (EV) charging flexibility to enhance both energy efficiency and power grid stability. Using real-world data from public charging stations in Prague, we analyze individual and aggregated charging sessions to explore how optimizing charging times can reduce energy waste, minimize grid imbalances, and support the integration of renewable energy. By aligning EV charging with periods of lower grid demand and higher renewable generation, we demonstrate a significant improvement in energy efficiency, reduc ing the need for costly system support and ancillary services. Our findings suggest that cooperation between power distributors and transmission system operators can unlock new opportunities for maintaining grid stability while promoting sustainable energy use in an increasingly uncertain energy landscape.
Comments: Submitted to Young Energy Researchers Conference at World Sustainable Energy Days 2025
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Systems and Control (eess.SY)
Cite as: arXiv:2608.18126 [math.OC]
  (or arXiv:2608.18126v1 [math.OC] for this version)
  https://doi.org/10.48550/arXiv.2608.18126
arXiv-issued DOI via DataCite

Submission history

From: Magda Friedjungová [view email]
[v1] Thu, 23 Jul 2026 18:24:47 UTC (2,420 KB)
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