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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Published in | IOP conference series. Materials Science and Engineering Vol. 592; no. 1; pp. 12136 - 12141 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.08.2019
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/592/1/012136 |