Optimal Power Management of Multi-Port Converter System in Electric Vehicle Charging Station

被引：0

作者：

Meikap, Somnath ^{[1
]}

Kumar, Chandan ^{[1
]}

Kumar, Abhishankar ^{[2
]}

机构：

[1] IIT Guwahati, Dept EEE, Gauhati, India

[2] MPM India Pvt Ltd, Data Sci Technol, Chennai, Tamil Nadu, India

来源：

2022 IEEE 13TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG) | 2022年

关键词：

Microgrid; Particle swarm optimization; Multi-port; Photovoltaic; electric vehicle; Isolated converter system; DEMAND;

D O I：

10.1109/PEDG54999.2022.9923296

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

With rising energy storage capacity and distributed generation in the electric grid, optimal power management of converters help to reduce running price and optimize power transfer. This paper develops a particle swarm optimization (PSO) based technique to minimize the cost of energy (CoE) purchased from the grid to reduce the running cost of a multi-port converter system for electric vehicle (EV) charging station. The multi-port system discussed in the paper integrates a photovoltaic (PV) system, battery storage, electric grid, and EV charging system. The developed optimal power management system supervises the controllers of different converters in the multi-port converter system. The performance of the optimal power management system is validated through simulation.

引用

页数：6

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