Solving Optimal Electric Vehicle Charger Deployment Problem

Electric vehicles (EVs) have already been acknowledged to be the most viable solution to the climate change that the entire globe has long been combating. Along the same line, it is a salient subject to expand the availability of EV charging infrastructure, which quintessentially necessitates the op...

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Bibliographic Details
Published in:Applied sciences 2024-06, Vol.14 (12), p.5092
Main Authors: Kim, Seungmo, Jeong, Yeonho, Nam, Jae-Won
Format: Article
Language:English
Subjects:
Algorithms
Case studies
Climatic changes
Comparative analysis
Customer services
electric vehicle (EV) charging
Electric vehicle charging stations
Electric vehicles
facility location problem (FLP)
Industrial locations
integer program
Integer programming
Linear programming
Machine learning
optimization solvers
Optimization techniques
Site selection
Variables
Citations: Items that this one cites
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Summary:Electric vehicles (EVs) have already been acknowledged to be the most viable solution to the climate change that the entire globe has long been combating. Along the same line, it is a salient subject to expand the availability of EV charging infrastructure, which quintessentially necessitates the optimization of the charger’s locations. This paper proposes to formulate the optimal EV charger location problem into a facility location problem (FLP). As an effort to find an efficient method to solve the well-known nonpolynomial deterministic (NP) hard problem, we present a comparative quantification among several representative solving techniques. This paper features two comprehensive case studies representing regions with an average and a high density of EVs. As such, this paper shows that the proposed framework can lead to successful location optimization with adequate refinement of solving techniques.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14125092