光伏发电系统的自动切换算法

I. Husain, Canny Dahlia, F. Yusivar
{"title":"光伏发电系统的自动切换算法","authors":"I. Husain, Canny Dahlia, F. Yusivar","doi":"10.11591/eecsi.v5.1653","DOIUrl":null,"url":null,"abstract":"within remote area worldwide, solar panel is still considered as an alternative with lower efficiency rate and a complex system needing backup source and storage such as battery. PI MPPT controller then used to remarkably improve the efficiency rate of the solar panel by maintaining it on its Maximum Power Point (MPP) reference. However, tackling the complexity of photovoltaic generator for remote area require another solution. This paper provide a simple yet applicable solution by presenting an algorithm to automatically control the photovoltaic generator system for remote area. The algorithm logic is determined by the key parameters from each systems inside, which are solar panel, PI Boost Converter, Battery, and Load. The simulation result proves that the algorithm is able to provide an appropriate result with all condition working properly. Thus, the algorithm is eligible to be applied and to be developed further","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Switching Algorithm for Photovoltaic Power Generation System\",\"authors\":\"I. Husain, Canny Dahlia, F. Yusivar\",\"doi\":\"10.11591/eecsi.v5.1653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"within remote area worldwide, solar panel is still considered as an alternative with lower efficiency rate and a complex system needing backup source and storage such as battery. PI MPPT controller then used to remarkably improve the efficiency rate of the solar panel by maintaining it on its Maximum Power Point (MPP) reference. However, tackling the complexity of photovoltaic generator for remote area require another solution. This paper provide a simple yet applicable solution by presenting an algorithm to automatically control the photovoltaic generator system for remote area. The algorithm logic is determined by the key parameters from each systems inside, which are solar panel, PI Boost Converter, Battery, and Load. The simulation result proves that the algorithm is able to provide an appropriate result with all condition working properly. Thus, the algorithm is eligible to be applied and to be developed further\",\"PeriodicalId\":20498,\"journal\":{\"name\":\"Proceeding of the Electrical Engineering Computer Science and Informatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of the Electrical Engineering Computer Science and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11591/eecsi.v5.1653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of the Electrical Engineering Computer Science and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/eecsi.v5.1653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在世界范围内的偏远地区,太阳能电池板仍然被认为是效率较低的替代方案,并且需要备用电源和电池等存储的复杂系统。然后使用PI MPPT控制器通过将其保持在最大功率点(MPP)参考来显着提高太阳能电池板的效率。然而,解决偏远地区光伏发电机的复杂性需要另一种解决方案。本文提出了一种实现偏远地区光伏发电系统自动控制的算法,提供了一种简单实用的解决方案。算法逻辑由每个系统内部的关键参数决定,这些参数是太阳能电池板,PI升压转换器,电池和负载。仿真结果表明,该算法能够在所有条件正常工作的情况下给出合适的结果。因此,该算法具有推广应用和进一步发展的条件
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
Automatic Switching Algorithm for Photovoltaic Power Generation System
within remote area worldwide, solar panel is still considered as an alternative with lower efficiency rate and a complex system needing backup source and storage such as battery. PI MPPT controller then used to remarkably improve the efficiency rate of the solar panel by maintaining it on its Maximum Power Point (MPP) reference. However, tackling the complexity of photovoltaic generator for remote area require another solution. This paper provide a simple yet applicable solution by presenting an algorithm to automatically control the photovoltaic generator system for remote area. The algorithm logic is determined by the key parameters from each systems inside, which are solar panel, PI Boost Converter, Battery, and Load. The simulation result proves that the algorithm is able to provide an appropriate result with all condition working properly. Thus, the algorithm is eligible to be applied and to be developed further
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
0
期刊最新文献
Estimated Profits of Rengginang Lorjuk Madura by Used Comparison of Holt-Winter and Moving Average Water Contents and Monoglycerides as Development Role of Biodiesel Standard in Indonesia for B30 Implementation Image Restoration Effect on DCT High Frequency Removal and Wiener Algorithm for Detecting Facial Key Points RAIKU: E-Commerce App Using Laravel Probabilistic Programming with Piecewise Objective Function for Solving Supplier Selection Problem with Price Discount and Probabilistic Demand
×
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