Optimal Sizing of Electric Vehicle Charging Stations in Residential Parking

被引：11

作者：

Borhani, Abdelhak ^{[1
]}

Ouadi, Hamid ^{[1
]}

Najoui, Mohamed ^{[1
]}

机构：

[1] Mohammed V Univ Rabat, ERERA Lab, ENSAM Rabat, Rabat, Morocco

来源：

IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2021年

关键词：

Electric vehicle; optimization; charging stations; particle swarm optimization; sizing;

D O I：

10.1109/IECON48115.2021.9589453

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The number of Electric vehicles in the world increases rapidly. To satisfy the vehicles owners, a sufficient number of charging stations will be required especially for smart buildings. The sizing of EV infrastructure in residential parking will support the deployment of the electric vehicles. This paper presents a model for optimizing the number of EV charging stations combining the multi-types charging stations and charging strategies. The objective of the optimization model is to find the suitable number of each station type while minimizing the annualized social cost, which includes the investment cost, operation and maintenance costs. The optimization problem was solved with particle swarm optimization (PSO) algorithm. The results show the impact of using different charging station types on the social cost.

引用

页数：6

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