一种基于MLI和LeBlanc变压器的新型并网光伏电源转换结构

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2023-11-08 DOI:10.1177/0958305x231210994
C Sonia, S Tamilselvi
{"title":"一种基于MLI和LeBlanc变压器的新型并网光伏电源转换结构","authors":"C Sonia, S Tamilselvi","doi":"10.1177/0958305x231210994","DOIUrl":null,"url":null,"abstract":"This article proposes a new energy conversion structure by employing a hybrid approach for grid-tied photovoltaic (PV) applications. This structure depends on the LeBlanc transformer and multilevel inverter (MLI). The proposed hybrid system combines the honey badger algorithm (HBA) and the reptile search algorithm (RSA). Crocodiles hunting behavior is enhanced by the HBA technique, also known as the IRSA technique. Voltage source inverters (VSI) are used in the proposed multilevel power converter. The MLI output is attached to the LeBlanc transformer. Multi-string technology is essential to the PV system's configuration. This innovative power converter's structural layout allows for an output voltage at the MLI's output. The proposed IRSA approach is utilized to regulate this power converter. This control system permits a fast and robust response from the MLI. This is also ensured by using the IRSA technique. The performance of the proposed hybrid method is run in MATLAB, and the performance is compared with various existing methods. From the simulation, the proposed approach-based efficiency is higher than the existing one. The proposed method shows a high efficiency of 99% compared with other existing methods, such as the salp swarm algorithm (SSA), bee colony optimization (BCO), and grasshopper optimization algorithm (GOA).","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel power conversion structure for grid-connected photovoltaic applications based on MLI and LeBlanc transformer using IRSA technique\",\"authors\":\"C Sonia, S Tamilselvi\",\"doi\":\"10.1177/0958305x231210994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article proposes a new energy conversion structure by employing a hybrid approach for grid-tied photovoltaic (PV) applications. This structure depends on the LeBlanc transformer and multilevel inverter (MLI). The proposed hybrid system combines the honey badger algorithm (HBA) and the reptile search algorithm (RSA). Crocodiles hunting behavior is enhanced by the HBA technique, also known as the IRSA technique. Voltage source inverters (VSI) are used in the proposed multilevel power converter. The MLI output is attached to the LeBlanc transformer. Multi-string technology is essential to the PV system's configuration. This innovative power converter's structural layout allows for an output voltage at the MLI's output. The proposed IRSA approach is utilized to regulate this power converter. This control system permits a fast and robust response from the MLI. This is also ensured by using the IRSA technique. The performance of the proposed hybrid method is run in MATLAB, and the performance is compared with various existing methods. From the simulation, the proposed approach-based efficiency is higher than the existing one. The proposed method shows a high efficiency of 99% compared with other existing methods, such as the salp swarm algorithm (SSA), bee colony optimization (BCO), and grasshopper optimization algorithm (GOA).\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2023-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0958305x231210994\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0958305x231210994","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种新的能源转换结构,采用混合方法用于并网光伏(PV)应用。这种结构依赖于勒布朗变压器和多电平逆变器(MLI)。该混合系统结合了蜜獾算法(HBA)和爬行动物搜索算法(RSA)。HBA技术(也称为IRSA技术)增强了鳄鱼的狩猎行为。该多电平功率变换器采用电压源逆变器(VSI)。MLI输出连接到勒布朗变压器。多管柱技术对光伏系统的配置至关重要。这种创新的功率转换器的结构布局允许输出电压在MLI的输出。采用IRSA方法对该功率变换器进行了控制。该控制系统允许MLI的快速和鲁棒响应。这也可以通过使用IRSA技术来保证。在MATLAB中运行了所提出的混合方法的性能,并与现有的各种方法进行了性能比较。仿真结果表明,该方法的效率高于现有方法。与salp swarm algorithm (SSA)、bee colony optimization (BCO)、grasshopper optimization algorithm (GOA)等现有算法相比,该方法的效率高达99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A novel power conversion structure for grid-connected photovoltaic applications based on MLI and LeBlanc transformer using IRSA technique
This article proposes a new energy conversion structure by employing a hybrid approach for grid-tied photovoltaic (PV) applications. This structure depends on the LeBlanc transformer and multilevel inverter (MLI). The proposed hybrid system combines the honey badger algorithm (HBA) and the reptile search algorithm (RSA). Crocodiles hunting behavior is enhanced by the HBA technique, also known as the IRSA technique. Voltage source inverters (VSI) are used in the proposed multilevel power converter. The MLI output is attached to the LeBlanc transformer. Multi-string technology is essential to the PV system's configuration. This innovative power converter's structural layout allows for an output voltage at the MLI's output. The proposed IRSA approach is utilized to regulate this power converter. This control system permits a fast and robust response from the MLI. This is also ensured by using the IRSA technique. The performance of the proposed hybrid method is run in MATLAB, and the performance is compared with various existing methods. From the simulation, the proposed approach-based efficiency is higher than the existing one. The proposed method shows a high efficiency of 99% compared with other existing methods, such as the salp swarm algorithm (SSA), bee colony optimization (BCO), and grasshopper optimization algorithm (GOA).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
期刊最新文献
Red ginseng polysaccharide promotes ferroptosis in gastric cancer cells by inhibiting PI3K/Akt pathway through down-regulation of AQP3. Diagnostic value of 18F-PSMA-1007 PET/CT for predicting the pathological grade of prostate cancer. Correction. Wilms' tumor 1 -targeting cancer vaccine: Recent advancements and future perspectives. Toll-like receptor agonists as cancer vaccine adjuvants.
×
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