Strategic Optimization of Electric Vehicle Charging Station Placement in Romania

Abstract The article studies a variant of the facility location problem applied for electric vehicle charging station infrastructure in Romania. The best places are chosen from the locations without a charging station to minimize a combination between the maximum distance from a location without a charging station to the closest location with a charging station, the total electricity consumption of each location, the $$CO_2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>C</mml:mi> <mml:msub> <mml:mi>O</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> </mml:math> emission for each city based on the electrical grid configuration, and the electric vehicles penetration rate for respective locations. A formulation using mixed integer linear programming is presented, along with the results of the conducted simulations.

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Publication Details

Journal
Operations Research Forum
Published
2025-05-10
DOI
https://doi.org/10.1007/s43069-025-00461-w
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.46

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article

Strategic Optimization of Electric Vehicle Charging Station Placement in Romania

Alexandru Popa, Tiberiu-Iulian Sîrbu
2 citations
Operations Research Forum
Electric Vehicles and Infrastructure
1.46
article

Strategic Optimization of Electric Vehicle Charging Station Placement in Romania

Alexandru Popa, Tiberiu-Iulian Sîrbu
article en
2 citations

Abstract

Abstract The article studies a variant of the facility location problem applied for electric vehicle charging station infrastructure in Romania. The best places are chosen from the locations without a charging station to minimize a combination between the maximum distance from a location without a charging station to the closest location with a charging station, the total electricity consumption of each location, the $$CO_2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>C</mml:mi> <mml:msub> <mml:mi>O</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:mrow> </mml:math> emission for each city based on the electrical grid configuration, and the electric vehicles penetration rate for respective locations. A formulation using mixed integer linear programming is presented, along with the results of the conducted simulations.

Operations Research ForumVol. 6(2)
University of Bucharest (RO)
Ministerul Cercetării, Inovării şi Digitalizării, Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii
Openalex Percentile: Top 18%
Electric Vehicles and Infrastructure
1.46
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