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

International Conference on Manufacturing Technology, Materials and Chemical Engineering

材料科学;化学工业

Dong, Yunxia^1 ; Li, Li^1

North China Electric Power University, Beijing, China^1

关键词: Charging station;    Charging station planning;    Electric vehicle charging;    Improved particle swarm optimization algorithms;    Location planning;    Simulation analysis;    Time cost;    Volume modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/592/1/012136/pdf
DOI  :  10.1088/1757-899X/592/1/012136

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.