New energy vehicle charging station location method based on improved particle swarm optimization algorithm

被引：0

作者：

Zhang, Liang-Li ^{[1
]}

Ma, Xiao-Feng ^{[2
]}

机构：

[1] School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan

[2] Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2024年 / 54卷 / 08期

关键词：

genetic algorithm; location of charging station; new energy vehicles; objective function; particle swarm optimization;

D O I：

10.13229/j.cnki.jdxbgxb.20230249

中图分类号：

学科分类号：

摘要：

In order to improve the rationality of vehicle charging station layout and reduce resource waste，a new energy vehicle charging station location method based on improved particle swarm optimization algorithm is proposed. Predict the future distribution of electric vehicles， and take the user travel characteristics，traffic density，service radius and other factors as the reference basis for location selection；Taking the shortest distance between the demand point and the charging station as the objective function，set the relevant constraints and establish the location model；Explore the implementation process of classical particle swarm optimization algorithm，and obtain particle velocity and position update formula；Aiming at the problem that the method is easy to fall into local optimum，genetic algorithm is used to improve it；The improved algorithm is used to solve the objective function，set the initial parameters and judgment conditions，increase the particle crossover，mutation and other operations，and improve the quality of particle swarm. When the requirements of iteration times are met，the optimal location of the individual is output，that is，the optimal scheme for the location of the charging station. The experimental results show that the location selected by the proposed method can meet the demand of the objective function，balance the charging demand，and avoid resource waste. © 2024 Editorial Board of Jilin University. All rights reserved.

引用

页码：2275 / 2281

页数：6

共 20 条

[11] Mowry A M, Mallapragada D S., Grid impacts of highway electric vehicle charging and role for mitiga⁃ tion via energy storage, Energy Policy, 157, (2021)
[12] Akbari-Dibavar A, Tabar V S, Zadeh S G, Et al., Two-stage robust energy management of a hybrid charging station integrated with the photovoltaic sys⁃ tem, International Journal of Hydrogen Energy, 46, 24, pp. 12701-12714, (2021)
[13] Schmidt M, Zmuda-Trzebiatowski P, Kicinski M, Et al., Multiple-criteria-based electric vehicle charging in⁃ frastructure design problem, Energies, 14, 11, (2021)
[14] Anzola J, Aizpuru I, Arruti A., Partial power process⁃ ing based converter for electric vehicle fast charging stations, Electronics, 10, 3, (2021)
[15] Welzel F, Klinck C F, Pohlmann Y, Et al., Grid and user-optimized planning of charging processes of an electric vehicle fleet using a quantitative optimization model[J], Applied Energy, 290, 1, (2021)
[16] Xiao Y, Zhang Y, Kaku I, Et al., Electric vehicle routing problem: a systematic review and a new com⁃ prehensive model with nonlinear energy recharging and consumption, Renewable and Sustainable En⁃ ergy Reviews, 151, 9, (2021)
[17] Ma Yun-qing, Ma Guo-shun, Application analysis of PPP mode in new energy vehicle battery exchange mode from the perspective of evolutionary game, Advances in Applied M athematics, 10, 6, pp. 1887-1903, (2021)
[18] Li Cui-yu, Hu Ya-meng, Kang Ya-wei, Et al., Coor⁃ dination scheduling of electric vehicle charge and dis⁃ charge using adaptive genetic algorithm, Journal of Jilin University (Engineering and Technology Edi⁃ tion), 52, 11, pp. 2508-2513, (2022)
[19] Chen Q, Huang K, Ferguson M R., Capacity expan⁃ sion strategies for electric vehicle charging networks: model, algorithms, and case study, Naval Re⁃ search Logistics (NRL), 69, 3, pp. 442-460, (2022)
[20] Fescioglu-Unver N, Akta M Y, Kasnakolu C., Feed⁃ back controlled resource management model for ex⁃ press service in electric vehicle charging stations, Journal of Cleaner Production, 311, 1, (2021)

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