Photovoltaic fault diagnosis algorithm using fuzzy logic controller based on calculating distortion ratio of values

Y. Lahiouel, S. Latreche, M. Khemliche, L. Boulemzaoud
{"title":"Photovoltaic fault diagnosis algorithm using fuzzy logic controller based on calculating distortion ratio of values","authors":"Y. Lahiouel, S. Latreche, M. Khemliche, L. Boulemzaoud","doi":"10.20998/2074-272x.2023.4.06","DOIUrl":null,"url":null,"abstract":"Introduction. The efficiency of solar energy systems in producing electricity in a clean way. Reliance on it in industrial and domestic systems has led to the emergence of malfunctions in its facilities. During the operating period, these systems deteriorate, and this requires the development of a diagnostic system aimed at maintaining energy production at a maximum rate by detecting faults as soon as possible and addressing them. Goal. This work proposes the development of an algorithm to detect faults in the photovoltaic system, which based on fuzzy logic. Novelty. Calculate the distortion ratio of the voltage and current values resulting from each element in the photovoltaic system and processing it by the fuzzy logic controller, which leads to determining the nature of the fault. Results. As show in results using fuzzy logic control by calculating the distortion ratio of the voltage and current detect 12 faults in photovoltaic array, converter DC-DC and battery.","PeriodicalId":170736,"journal":{"name":"Electrical Engineering & Electromechanics","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical Engineering & Electromechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20998/2074-272x.2023.4.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction. The efficiency of solar energy systems in producing electricity in a clean way. Reliance on it in industrial and domestic systems has led to the emergence of malfunctions in its facilities. During the operating period, these systems deteriorate, and this requires the development of a diagnostic system aimed at maintaining energy production at a maximum rate by detecting faults as soon as possible and addressing them. Goal. This work proposes the development of an algorithm to detect faults in the photovoltaic system, which based on fuzzy logic. Novelty. Calculate the distortion ratio of the voltage and current values resulting from each element in the photovoltaic system and processing it by the fuzzy logic controller, which leads to determining the nature of the fault. Results. As show in results using fuzzy logic control by calculating the distortion ratio of the voltage and current detect 12 faults in photovoltaic array, converter DC-DC and battery.
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
基于模糊逻辑控制器的光伏故障诊断算法
介绍。太阳能系统以清洁的方式发电的效率。工业和家庭系统对它的依赖导致其设施出现故障。在运行期间,这些系统会恶化,这就需要开发一种诊断系统,旨在通过尽快检测故障并解决故障,以最大速度维持能源生产。的目标。本文提出了一种基于模糊逻辑的光伏系统故障检测算法。新鲜事物。计算光伏系统中各元件产生的电压和电流值的畸变比,并通过模糊逻辑控制器进行处理,从而确定故障的性质。结果。结果表明,通过计算电压和电流的失真率,采用模糊逻辑控制检测出光伏阵列、变换器DC-DC和电池中的12个故障。
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
自引率
0.00%
发文量
0
期刊最新文献
An adaptive controller for power quality control in high speed railway with electric locomotives with asynchronous traction motors Analytical method of determining conditions for full compensation of reactive power in the power supply system Maximum power point tracking improvement using type-2 fuzzy controller for wind system based on the double fed induction generator Calculation and experimental determination of the speed of advancement of the plasma leader channel of a pulse spark discharge in atmospheric air Smart current control of the wind energy conversion system based permanent magnet synchronous generator using predictive and hysteresis model
×
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