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<p>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 <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="43069_2025_461_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="34" /> </InlineMediaObject> <EquationSource Format="TEX">\(CO_2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>C</mi> <msub> <mi>O</mi> <mn>2</mn> </msub> </mrow> </math></EquationSource> </InlineEquation> 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.</p>

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Strategic Optimization of Electric Vehicle Charging Station Placement in Romania

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月10日

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  • Alexandru Popa,
  • Tiberiu-Iulian Sîrbu

摘要

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 \(CO_2\) C O 2 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.