Artificial neural network based active power management controller for electric vehicle charging station

被引：0

作者：

Singh A.P. ^{[1
]}

Kumar Y. ^{[1
]}

机构：

[1] Electrical Engineering Department, Maulana Azad National Institute of Technology, Bhopal

来源：

International Journal of Ambient Energy | 2024年 / 45卷 / 01期

关键词：

Artificial neural network (ANN); bidirectional converter; electric vehicle charging station; hybrid microgrid; stationary battery storage;

D O I：

10.1080/01430750.2023.2268102

中图分类号：

学科分类号：

摘要：

This paper presents a DC microgrid-based electric vehicle charging station (EVCS). It consists of a solar photovoltaic (PV) system, stationary battery storage (SBS), grid as a power generation source and electric vehicle as load. An adaptive interaction artificial neural network (ANN)-based active power management controller (APMC) is proposed for DC microgrid-based EVCS. It works in three different modes of operation. The mode of operation depends upon the PV power available and the current state of charge of SBS. This APMC is designed to get the electricity from the PV array and SBS preferably. If the PV and battery power are not sufficient to fulfil the requirement, power is drawn from the grid. When a solar PV system generates excess power and the SBS is sufficiently charged, then excess power is delivered to the grid. The proposed APMC is tested for three different modes using MATLAB Simulink software. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

引用

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