Charging station planning considering the total cost of construction of users and charging stations

Based on the improved particle swarm optimization algorithm, this paper considers the user time cost and the total cost of electric vehicle charging station construction, and establishes the site selection and volume model. The simulation analysis of MATLAB fully verified the feasibility of this alg...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 592; no. 1; pp. 12136 - 12141
Main Authors Dong, Yunxia, Li, Li
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.08.2019
Subjects
Algorithms
Construction costs
Electric vehicle charging
Feasibility
Particle swarm optimization
Site selection
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Summary:Based on the improved particle swarm optimization algorithm, this paper considers the user time cost and the total cost of electric vehicle charging station construction, and establishes the site selection and volume model. The simulation analysis of MATLAB fully verified the feasibility of this algorithm in the location planning of a city. The experimental results show that the model can fully reduce the user's bypass distance, reduce the queuing time and the total cost of charging station construction, and has certain feasibility.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/592/1/012136