The Effect of the Performance of Using a Boost Converter on the Voltage of the Solar Panel

E Supraptono, B P Abiyasa, R D M Putri,T Andrasto

IOP Conference Series: Earth and Environmental Science（2022）

Cited 1|Views9

Abstract

In designing a grid-connected photovoltaic generator system, a DC-DC converter is needed to increase the photovoltaic output voltage. In designing this converter, a converter with high static gain is usually used in order to increase the photovoltaic output voltage and obtain high conversion efficiency. However, conventional converter has static gain with low output voltage. Conventional converter can only increase the output voltage from the input voltage when the Duty Cycle is 0.75. To meet the high standard of static gain, an output voltage of 2.93 – 3.59 times the input voltage is required. To overcome that problem, the authors propose the use of DC-DC converter topology. Modification on the conventional converter is carried out by adding capacitors and diodes. With the application of this converter, it can be concluded that the output voltage of the converter can be increased for photovoltaic application.

Translated text

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper