.png){kind=icon}
返回
Input Source Identification Algorithm For Isolated Buck-Boost DC-DC Converter
.png){kind=icon}
PRE
AI
DOI：10.1109/COMPEL53829.2022.9829973.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The paper focuses on the galvanically isolated series-resonant dc-dc converter (SRC) operating at low values of the quality factor of the resonant tank. This topology is considered a bidirectional step-up front-end dc-dc converter with buck-boost functionality for integrating renewable energy sources or battery energy storage in dc microgrids. The main aim of the study is to develop a universal dc-dc converter, which can operate with different input voltage sources such as PV modules or batteries. The paper presents an input source identification method capable of distinguishing between a PV module or a battery energy storage connected to the input. The developed algorithm is based on the I-V curve scanning of an input source. Experimental results show the effectiveness of the developed algorithm in the identification of a PV module under different partial shading conditions and a battery with subsequent charging or discharging.
Keyword:
DC-DC convertor
dc microgrid
SRC
identification
PV module
storage battery
期刊
I
IF:
0
论文数:
40
被引数:
0
机构
引用论文
A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings.png)
APPLIED ENERGY
OAAI
APPLIED ENERGYIF11
OAAI分享收藏 没有更多内容
没有更多内容