Selection of Power Semiconductor Devices for a Standalone System based on Power Loss Analysis

IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Latin America Transactions Pub Date : 2024-03-20 DOI:10.1109/TLA.2024.10534300
Leandro Leysdian Oro Carralero;Edemar de Oliveira Prado;André Pires Nóbrega Tahim;Fabiano Fragoso Costa;José Renes Pinheiro
{"title":"Selection of Power Semiconductor Devices for a Standalone System based on Power Loss Analysis","authors":"Leandro Leysdian Oro Carralero;Edemar de Oliveira Prado;André Pires Nóbrega Tahim;Fabiano Fragoso Costa;José Renes Pinheiro","doi":"10.1109/TLA.2024.10534300","DOIUrl":null,"url":null,"abstract":"This paper presents a comprehensive methodology for the selection of power semiconductor devices in a standalone photovoltaic (PV)-battery system (SPBS) based on power loss analysis. The SPBS configuration is modeled analytically, and the waveforms for the system are obtained in a Hardware-In-the-Loop (HIL) and by simulation environment using Matlab. The study focuses on identifying the most cost-effective power semiconductor devices by assessing power loss at three distinct operating points. The algorithm evaluates losses in each component, facilitating the selection of optimal devices for enhanced system performance. The evaluation is performed for different operational modes, incorporating worst-case scenarios for current and voltage, providing a robust analysis of system behavior. By emphasizing the importance of power loss analysis in isolated PV systems, this research contributes to the advancement of energy efficiency in SPBS. The proposed methodology enables the identification of power semiconductor devices experiencing the highest losses, aiding in the selection of components that minimize overall losses and maximize energy utilization from PV panels and batteries.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534300","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Latin America Transactions","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10534300/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a comprehensive methodology for the selection of power semiconductor devices in a standalone photovoltaic (PV)-battery system (SPBS) based on power loss analysis. The SPBS configuration is modeled analytically, and the waveforms for the system are obtained in a Hardware-In-the-Loop (HIL) and by simulation environment using Matlab. The study focuses on identifying the most cost-effective power semiconductor devices by assessing power loss at three distinct operating points. The algorithm evaluates losses in each component, facilitating the selection of optimal devices for enhanced system performance. The evaluation is performed for different operational modes, incorporating worst-case scenarios for current and voltage, providing a robust analysis of system behavior. By emphasizing the importance of power loss analysis in isolated PV systems, this research contributes to the advancement of energy efficiency in SPBS. The proposed methodology enables the identification of power semiconductor devices experiencing the highest losses, aiding in the selection of components that minimize overall losses and maximize energy utilization from PV panels and batteries.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于功率损耗分析为独立系统选择功率半导体器件
本文介绍了一种基于功率损耗分析的独立光伏电池系统(SPBS)中功率半导体器件选择的综合方法。对 SPBS 配置进行了分析建模,并在硬件在环 (HIL) 和使用 Matlab 的仿真环境中获得了系统波形。研究重点是通过评估三个不同工作点的功率损耗,确定最具成本效益的功率半导体器件。该算法评估了每个组件的损耗,有助于选择最佳器件以提高系统性能。评估针对不同的工作模式进行,包括电流和电压的最坏情况,从而对系统行为进行稳健的分析。通过强调隔离光伏系统中功率损耗分析的重要性,这项研究有助于提高 SPBS 的能效。所提出的方法能够识别出损耗最大的功率半导体器件,有助于选择能最大限度减少总体损耗并最大限度提高光伏电池板和电池能量利用率的元件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Latin America Transactions
IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
3.50
自引率
7.70%
发文量
192
审稿时长
3-8 weeks
期刊介绍: IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.
期刊最新文献
Mathematical Modeling for Pectin Extraction in Melon waste Impact of the Extreme Operating Gusts on Power Converter Connected to PMSG-based Wind Turbine for Reliability Analysis Comparative Study of Tire Models Applied to Electronic Stability Control in Automotive Simulator IoT-based Environmental Monitoring and Prediction of Banana Moisture Content in a Solar Greenhouse Dryer Learnable Query Contrast and Spatio-temporal Prediction on Point Cloud Video Pre-training
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1