光伏系统故障及相关检测方法评述

IF 8 Q1 ENERGY & FUELS Energy nexus Pub Date : 2023-12-01 DOI:10.1016/j.nexus.2023.100257
Khaled Osmani , Ahmad Haddad , Thierry Lemenand , Bruno Castanier , Mohammad Alkhedher , Mohamad Ramadan
{"title":"光伏系统故障及相关检测方法评述","authors":"Khaled Osmani ,&nbsp;Ahmad Haddad ,&nbsp;Thierry Lemenand ,&nbsp;Bruno Castanier ,&nbsp;Mohammad Alkhedher ,&nbsp;Mohamad Ramadan","doi":"10.1016/j.nexus.2023.100257","DOIUrl":null,"url":null,"abstract":"<div><p>PhotoVoltaic (PV) systems are often subjected to operational faults which negatively affect their performance. Corresponding to different types and natures, such faults prevent the PV systems from achieving their nominal power output and attaining the required level of energy production. Regarding the operational optimization of PV systems, this paper aims primarily at surveying and categorizing different types of PV faults, classified as electrical, internal, and external, where each is thoroughly investigated: internal faults occur at the PV cellular level, and can either be short circuit, open circuit, bridging, or bypass diode faults. External faults on the other side are mainly classified as temporary (i.e., clouds shading, snowstorms, etc.) or permanent (e.g., glass breakage, frame defects, etc.) mismatch faults. Lastly, electrical faults involve common circuitry problems, such as short circuits (e.g., line to ground, line to line, etc.), power processing units’ faults (e.g., inverter faults), and arc faults. As for the detection methods, six major fault detection methods are investigated for the AC side of the PV system with twenty-nine total AC based fault detection methods. On the other hand, eleven major fault detection methods are surveyed for the DC side of PV systems with seventy-three total DC based fault detection methods. The investigated methods are critically analyzed, and compared relevantly to each other, within the mutual sub-sets. The resulting tabulated comparative data assessments for PV faults (i.e., cause-effect relationships, impact on the PV system performance), as well as for faults detection methods (i.e., priority for application, etc.) compose a rich background for related PV systems’ performance security fields, where a nexus future work is also suggested.</p></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"12 ","pages":"Article 100257"},"PeriodicalIF":8.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772427123000876/pdfft?md5=697498a02c971570b979123e30ac2de3&pid=1-s2.0-S2772427123000876-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A critical review of PV systems’ faults with the relevant detection methods\",\"authors\":\"Khaled Osmani ,&nbsp;Ahmad Haddad ,&nbsp;Thierry Lemenand ,&nbsp;Bruno Castanier ,&nbsp;Mohammad Alkhedher ,&nbsp;Mohamad Ramadan\",\"doi\":\"10.1016/j.nexus.2023.100257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>PhotoVoltaic (PV) systems are often subjected to operational faults which negatively affect their performance. Corresponding to different types and natures, such faults prevent the PV systems from achieving their nominal power output and attaining the required level of energy production. Regarding the operational optimization of PV systems, this paper aims primarily at surveying and categorizing different types of PV faults, classified as electrical, internal, and external, where each is thoroughly investigated: internal faults occur at the PV cellular level, and can either be short circuit, open circuit, bridging, or bypass diode faults. External faults on the other side are mainly classified as temporary (i.e., clouds shading, snowstorms, etc.) or permanent (e.g., glass breakage, frame defects, etc.) mismatch faults. Lastly, electrical faults involve common circuitry problems, such as short circuits (e.g., line to ground, line to line, etc.), power processing units’ faults (e.g., inverter faults), and arc faults. As for the detection methods, six major fault detection methods are investigated for the AC side of the PV system with twenty-nine total AC based fault detection methods. On the other hand, eleven major fault detection methods are surveyed for the DC side of PV systems with seventy-three total DC based fault detection methods. The investigated methods are critically analyzed, and compared relevantly to each other, within the mutual sub-sets. The resulting tabulated comparative data assessments for PV faults (i.e., cause-effect relationships, impact on the PV system performance), as well as for faults detection methods (i.e., priority for application, etc.) compose a rich background for related PV systems’ performance security fields, where a nexus future work is also suggested.</p></div>\",\"PeriodicalId\":93548,\"journal\":{\"name\":\"Energy nexus\",\"volume\":\"12 \",\"pages\":\"Article 100257\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772427123000876/pdfft?md5=697498a02c971570b979123e30ac2de3&pid=1-s2.0-S2772427123000876-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy nexus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772427123000876\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy nexus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772427123000876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

光伏(PV)系统经常会出现运行故障,对其性能产生负面影响。这些故障有不同的类型和性质,使光伏系统无法实现额定功率输出,也无法达到所需的能源生产水平。关于光伏系统的运行优化,本文的主要目的是对不同类型的光伏故障进行调查和分类,分为电气故障、内部故障和外部故障,并对每种故障进行了深入研究:内部故障发生在光伏电池层面,可以是短路、开路、桥接或旁路二极管故障。外部故障则主要分为暂时性故障(如云层遮挡、暴风雪等)或永久性故障(如玻璃破裂、框架缺陷等)。最后,电气故障涉及常见的电路问题,如短路(如线对地、线对线等)、电源处理单元故障(如逆变器故障)和电弧故障。在检测方法方面,研究了光伏系统交流侧的六种主要故障检测方法,共计二十九种基于交流的故障检测方法。另一方面,对光伏系统直流侧的十一种主要故障检测方法进行了调查,共有七十三种基于直流的故障检测方法。对所调查的方法进行了批判性分析,并在相互子集中进行了相关比较。对光伏故障(即因果关系、对光伏系统性能的影响)以及故障检测方法(即应用的优先级等)的比较数据评估结果列表为相关光伏系统性能安全领域提供了丰富的背景资料,同时也为未来的工作提出了建议。
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 critical review of PV systems’ faults with the relevant detection methods

PhotoVoltaic (PV) systems are often subjected to operational faults which negatively affect their performance. Corresponding to different types and natures, such faults prevent the PV systems from achieving their nominal power output and attaining the required level of energy production. Regarding the operational optimization of PV systems, this paper aims primarily at surveying and categorizing different types of PV faults, classified as electrical, internal, and external, where each is thoroughly investigated: internal faults occur at the PV cellular level, and can either be short circuit, open circuit, bridging, or bypass diode faults. External faults on the other side are mainly classified as temporary (i.e., clouds shading, snowstorms, etc.) or permanent (e.g., glass breakage, frame defects, etc.) mismatch faults. Lastly, electrical faults involve common circuitry problems, such as short circuits (e.g., line to ground, line to line, etc.), power processing units’ faults (e.g., inverter faults), and arc faults. As for the detection methods, six major fault detection methods are investigated for the AC side of the PV system with twenty-nine total AC based fault detection methods. On the other hand, eleven major fault detection methods are surveyed for the DC side of PV systems with seventy-three total DC based fault detection methods. The investigated methods are critically analyzed, and compared relevantly to each other, within the mutual sub-sets. The resulting tabulated comparative data assessments for PV faults (i.e., cause-effect relationships, impact on the PV system performance), as well as for faults detection methods (i.e., priority for application, etc.) compose a rich background for related PV systems’ performance security fields, where a nexus future work is also suggested.

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
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
期刊最新文献
Price disorder and information content in energy and gold markets: The effect of the COVID-19 pandemic Business Models and Advanced Additive Manufacturing strategies for better sustainability Production economics and carbon footprint of an integrated timber harvesting operation in the Northeastern US Optimal rule-based energy management and sizing of a grid-connected renewable energy microgrid with hybrid storage using Levy Flight Algorithm pH shift extraction technique for plant proteins: A promising technique for sustainable development
×
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