利用系统跟踪和模糊逻辑控制器优化光伏输出功率

Misti Qurniatun, Sugeng Dwi Riyanto, M. Yusuf
{"title":"利用系统跟踪和模糊逻辑控制器优化光伏输出功率","authors":"Misti Qurniatun, Sugeng Dwi Riyanto, M. Yusuf","doi":"10.35970/infotekmesin.v14i1.1583","DOIUrl":null,"url":null,"abstract":"Photovoltaic is one of the environmentally friendly power plants. One of the problems using photovoltaic is the low efficiency level. Therefore, a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for dual axis tracking system is used in this study to optimize photovoltaic performance. The dual axis tracking system functions to keep the photovoltaic always perpendicular to the direction of the sun's arrival so that it has more optimal output power. The input of the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as input for fuzzy logic controller. Based on the results of the research, the output power of the Photovoltaic tracking system is 9.363 Watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaic with conventional installation has a power of 7.247 Watt or 36.23% of the specification. So that Photovoltaic with fuzzy logic control for dual axis tracking system is 29.20% more optimal.","PeriodicalId":33598,"journal":{"name":"Infotekmesin Media Komunikasi Ilmiah Politeknik Cilacap","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimalisasi Daya Output Pada Photovoltaic Penggunakan Sistem Tracking dan Fuzzy Logic Controller\",\"authors\":\"Misti Qurniatun, Sugeng Dwi Riyanto, M. Yusuf\",\"doi\":\"10.35970/infotekmesin.v14i1.1583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photovoltaic is one of the environmentally friendly power plants. One of the problems using photovoltaic is the low efficiency level. Therefore, a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for dual axis tracking system is used in this study to optimize photovoltaic performance. The dual axis tracking system functions to keep the photovoltaic always perpendicular to the direction of the sun's arrival so that it has more optimal output power. The input of the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as input for fuzzy logic controller. Based on the results of the research, the output power of the Photovoltaic tracking system is 9.363 Watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaic with conventional installation has a power of 7.247 Watt or 36.23% of the specification. So that Photovoltaic with fuzzy logic control for dual axis tracking system is 29.20% more optimal.\",\"PeriodicalId\":33598,\"journal\":{\"name\":\"Infotekmesin Media Komunikasi Ilmiah Politeknik Cilacap\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infotekmesin Media Komunikasi Ilmiah Politeknik Cilacap\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35970/infotekmesin.v14i1.1583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infotekmesin Media Komunikasi Ilmiah Politeknik Cilacap","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35970/infotekmesin.v14i1.1583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

光伏电站是一种环境友好型电站。使用光伏发电的问题之一是效率低。因此,需要一种优化光伏性能的方法。本研究采用模糊逻辑控制对双轴跟踪系统进行优化。双轴跟踪系统的作用是使光伏始终垂直于太阳到达的方向,从而获得更优的输出功率。跟踪系统的输入来自安装在光伏两侧的LDR传感器。该传感器与RTC相结合,预测天气变化(多云)。LDR和RTC传感器数据作为模糊逻辑控制器的输入。根据研究结果,光伏跟踪系统的输出功率为9.363瓦,占光伏规格的46.82%。常规安装的静态光伏功率为7.247瓦,占规格的36.23%。因此,采用模糊逻辑控制的光伏双轴跟踪系统的最优性提高了29.20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimalisasi Daya Output Pada Photovoltaic Penggunakan Sistem Tracking dan Fuzzy Logic Controller
Photovoltaic is one of the environmentally friendly power plants. One of the problems using photovoltaic is the low efficiency level. Therefore, a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for dual axis tracking system is used in this study to optimize photovoltaic performance. The dual axis tracking system functions to keep the photovoltaic always perpendicular to the direction of the sun's arrival so that it has more optimal output power. The input of the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as input for fuzzy logic controller. Based on the results of the research, the output power of the Photovoltaic tracking system is 9.363 Watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaic with conventional installation has a power of 7.247 Watt or 36.23% of the specification. So that Photovoltaic with fuzzy logic control for dual axis tracking system is 29.20% more optimal.
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
自引率
0.00%
发文量
30
审稿时长
12 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信