Implementation of an Intelligent System for Remote Control of Decentralized photovoltaic Sources using the Internet of Things Infrastructure

Chaimae Zedak, Abdelaziz Belfqih, A. Lekbich, Jamal Boukherouaa, Abdeljalil Laamimi
{"title":"Implementation of an Intelligent System for Remote Control of Decentralized photovoltaic Sources using the Internet of Things Infrastructure","authors":"Chaimae Zedak, Abdelaziz Belfqih, A. Lekbich, Jamal Boukherouaa, Abdeljalil Laamimi","doi":"10.1109/IRSEC48032.2019.9078247","DOIUrl":null,"url":null,"abstract":"With the strong integration of photovoltaic panels in the electricity grid and its complexity, the need to manage and control it in the presence of these renewable entities is essential. For an interoperable, digital and decentralized network, it is necessary to integrate the concept of the Internet of Things (IoT) to enable the monitoring and control of these photovoltaic systems and to make them intelligent. This article presents a photovoltaic panels control system, which we realized in our research laboratory at the National Higher School of Electricity and Mechanics ENSEM. This system makes it possible to securely acquire data from current, voltage and temperature sensors and display them on a Human-Machine Interface using the Internet of Things. It also makes it possible to send commands to the circuit breaker responsible for connecting the panel to the network. Once tested for a single photovoltaic panel, we have developed a simulator for an IEEE 33 bus test network where four panels have been integrated in a decentralized way to monitor and control these panels in real time.","PeriodicalId":6671,"journal":{"name":"2019 7th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"54 4 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Renewable and Sustainable Energy Conference (IRSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRSEC48032.2019.9078247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

With the strong integration of photovoltaic panels in the electricity grid and its complexity, the need to manage and control it in the presence of these renewable entities is essential. For an interoperable, digital and decentralized network, it is necessary to integrate the concept of the Internet of Things (IoT) to enable the monitoring and control of these photovoltaic systems and to make them intelligent. This article presents a photovoltaic panels control system, which we realized in our research laboratory at the National Higher School of Electricity and Mechanics ENSEM. This system makes it possible to securely acquire data from current, voltage and temperature sensors and display them on a Human-Machine Interface using the Internet of Things. It also makes it possible to send commands to the circuit breaker responsible for connecting the panel to the network. Once tested for a single photovoltaic panel, we have developed a simulator for an IEEE 33 bus test network where four panels have been integrated in a decentralized way to monitor and control these panels in real time.
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
利用物联网基础设施实现分布式光伏电源远程控制的智能系统
随着光伏板在电网中的强大整合及其复杂性,在这些可再生实体存在的情况下对其进行管理和控制的需求是必不可少的。对于一个可互操作、数字化和去中心化的网络,有必要整合物联网(IoT)的概念,以实现对这些光伏系统的监控和控制,并使其智能化。本文介绍了一种光伏板控制系统,是我们在国家电力与机械高等学院的研究实验室中实现的。该系统可以安全地从电流、电压和温度传感器获取数据,并使用物联网将其显示在人机界面上。它还可以向负责将面板连接到网络的断路器发送命令。在对单个光伏板进行测试后,我们为IEEE 33总线测试网络开发了一个模拟器,其中四个面板以分散的方式集成在一起,以实时监测和控制这些面板。
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
On the Impact of Rooftop Solar PV on Local Temperatures in Urban Areas Novel Stand Alone Solar Still Experimental Validation of an Electromechanical Device to Convert Vehicles Mechanical Energy into Electrical Energy Economic Comparison of Parabolic trough Collector and Linear Fresnel Reflectors Power Plants Maximum Power Point Tracking of Wind Turbine System Connection to Permanent Magnet Synchronous Generator using Fuzzy Logic and Artificial Neural Network
×
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:604180095
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