Optimal Location of Charging Stations for Electric Vehicles in Distribution Networks: A Literature Review

Currently, the global use of electric vehicles is still low; however, a significant increase is expected in the coming years. Determining the optimal location of charging stations in distribution systems can influence the increased adoption of this technology in transportation, as it contributes to the proper functioning of distribution networks. There are several optimization methods, which can be classified into exact, heuristic, and metaheuristic methods, each with different characteristics and applications. This article presents a literature review of the main optimization methods currently used to determine the location of charging stations in distribution systems. It concludes that metaheuristic optimization methods are the most widely used. In addition, the review identifies current research gaps, particularly the limited use of real EV demand data and the lack of stochastic approaches to represent demand variability. The main contribution of this work lies in emphasizing the importance of incorporating stochastic methods to adequately address the uncertainty of EV demand in distribution networks.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-10-25
DOI
https://doi.org/10.3390/en18215616
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Location of Charging Stations for Electric Vehicles in Distribution Networks: A Literature Review

Yandi Gallego Landera, Luis García-Santander, Lesyani Teresa León Viltre, Oscar Cuaresma Zevallos et al.
Energies
Electric Vehicles and Infrastructure
article

Optimal Location of Charging Stations for Electric Vehicles in Distribution Networks: A Literature Review

Yandi Gallego Landera, Luis García-Santander, Lesyani Teresa León Viltre, Oscar Cuaresma Zevallos, David Lara Leon, Fredy Antonio Muñoz Jarpa
article en

Abstract

Currently, the global use of electric vehicles is still low; however, a significant increase is expected in the coming years. Determining the optimal location of charging stations in distribution systems can influence the increased adoption of this technology in transportation, as it contributes to the proper functioning of distribution networks. There are several optimization methods, which can be classified into exact, heuristic, and metaheuristic methods, each with different characteristics and applications. This article presents a literature review of the main optimization methods currently used to determine the location of charging stations in distribution systems. It concludes that metaheuristic optimization methods are the most widely used. In addition, the review identifies current research gaps, particularly the limited use of real EV demand data and the lack of stochastic approaches to represent demand variability. The main contribution of this work lies in emphasizing the importance of incorporating stochastic methods to adequately address the uncertainty of EV demand in distribution networks.

EnergiesVol. 18(21)
University of Concepción (CL), University of Bío-Bío (CL), Universidade do Estado do Rio de Janeiro (BR)
Universidad de Concepción, Universidad del Bío-Bío
Openalex Percentile: Top 69%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.