A systematic literature review of optimal placement of fast charging station

Electric vehicles (EV) have increased in the last few decades due to their ability to reduce greenhouse gas emissions (GHG). Support for the electrification of the transportation sector has encouraged researchers to investigate the optimal placement of fast charging stations (FCS). In this study, we...

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Main Authors: Jimmy Trio Putra, M. Isnaeni Bambang Setyonegoro, Taco Niet, Sarjiya
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:e-Prime: Advances in Electrical Engineering, Electronics and Energy
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Online Access:http://www.sciencedirect.com/science/article/pii/S277267112400398X
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author Jimmy Trio Putra
M. Isnaeni Bambang Setyonegoro
Taco Niet
Sarjiya
author_facet Jimmy Trio Putra
M. Isnaeni Bambang Setyonegoro
Taco Niet
Sarjiya
author_sort Jimmy Trio Putra
collection DOAJ
description Electric vehicles (EV) have increased in the last few decades due to their ability to reduce greenhouse gas emissions (GHG). Support for the electrification of the transportation sector has encouraged researchers to investigate the optimal placement of fast charging stations (FCS). In this study, we conducted a systematic literature review of 84 primary studies between 2019 and 2024 by identifying objective function and solution techniques, uncertainty, stakeholders, and network classification. We identified the objective functions most commonly used by authors related to technical and cost-solving problems using techniques: conventional (41.7%), metaheuristic (33.3%), hybrid (22.6%), and other (2.4%). Several researchers have also considered various uncertainty parameters from EV, FCS demand, and distributed generation (DG) power output with the most popular probabilistic method to solve problems. Furthermore, the role of stakeholders and network classification is also reviewed in this article. Our study contributes to the field by providing a comprehensive overview of the most significant journals and highlighting future research on the optimal placement of FCS. Future work must focus on improving parameters, models, methods, and using real data from various factors related to FCS demand.
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series e-Prime: Advances in Electrical Engineering, Electronics and Energy
spelling doaj-art-263a1cbd16b64e4ba52feb587923e25d2024-12-16T05:38:54ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112024-12-0110100818A systematic literature review of optimal placement of fast charging stationJimmy Trio Putra0M. Isnaeni Bambang Setyonegoro1Taco Niet2 Sarjiya3Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jl. Grafika No. 2, Bulaksumur, Yogyakarta, 55281, Indonesia; Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Jl. Yacaranda, Sekip Unit III, Yogyakarta, 55281, IndonesiaDepartment of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jl. Grafika No. 2, Bulaksumur, Yogyakarta, 55281, Indonesia; Corresponding author.School of Sustainable Energy Engineering, Simon Fraser University, 10285 University Drive, Surrey, BC, V3T 4B7, CanadaDepartment of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jl. Grafika No. 2, Bulaksumur, Yogyakarta, 55281, Indonesia; Center of Energy Studies, Universitas Gadjah Mada, Sekip Blok K1-A, Yogyakarta, 55281, IndonesiaElectric vehicles (EV) have increased in the last few decades due to their ability to reduce greenhouse gas emissions (GHG). Support for the electrification of the transportation sector has encouraged researchers to investigate the optimal placement of fast charging stations (FCS). In this study, we conducted a systematic literature review of 84 primary studies between 2019 and 2024 by identifying objective function and solution techniques, uncertainty, stakeholders, and network classification. We identified the objective functions most commonly used by authors related to technical and cost-solving problems using techniques: conventional (41.7%), metaheuristic (33.3%), hybrid (22.6%), and other (2.4%). Several researchers have also considered various uncertainty parameters from EV, FCS demand, and distributed generation (DG) power output with the most popular probabilistic method to solve problems. Furthermore, the role of stakeholders and network classification is also reviewed in this article. Our study contributes to the field by providing a comprehensive overview of the most significant journals and highlighting future research on the optimal placement of FCS. Future work must focus on improving parameters, models, methods, and using real data from various factors related to FCS demand.http://www.sciencedirect.com/science/article/pii/S277267112400398XElectric vehicleFast charging stationOptimal placementPRISMASystematic literature reviewUncertainty
spellingShingle Jimmy Trio Putra
M. Isnaeni Bambang Setyonegoro
Taco Niet
Sarjiya
A systematic literature review of optimal placement of fast charging station
e-Prime: Advances in Electrical Engineering, Electronics and Energy
Electric vehicle
Fast charging station
Optimal placement
PRISMA
Systematic literature review
Uncertainty
title A systematic literature review of optimal placement of fast charging station
title_full A systematic literature review of optimal placement of fast charging station
title_fullStr A systematic literature review of optimal placement of fast charging station
title_full_unstemmed A systematic literature review of optimal placement of fast charging station
title_short A systematic literature review of optimal placement of fast charging station
title_sort systematic literature review of optimal placement of fast charging station
topic Electric vehicle
Fast charging station
Optimal placement
PRISMA
Systematic literature review
Uncertainty
url http://www.sciencedirect.com/science/article/pii/S277267112400398X
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