基于模型预测控制和扩展卡尔曼滤波的光伏系统鲁棒最大功率点跟踪

Mostafa Ahmed, Mohamed Abdelrahem, R. Kennel, C. Hackl
{"title":"基于模型预测控制和扩展卡尔曼滤波的光伏系统鲁棒最大功率点跟踪","authors":"Mostafa Ahmed, Mohamed Abdelrahem, R. Kennel, C. Hackl","doi":"10.1109/SPEEDAM48782.2020.9161865","DOIUrl":null,"url":null,"abstract":"Maximum power point tracking (MPPT) is a very important issue in any photovoltaic (PV) system. This paper presents an MPPT using finite control set model predictive control (FCS-MPC), where the system under study is composed of a PV module, boost converter, and resistive load. The proposed MPPT technique not only reduces the required sensors by one but also eliminates the dependency of the control system on the load by using an extended Kalman filter (EKF), which greatly enhances the robustness and reliability of the MPPT based FCSMPC. Finally, the proposed MPPT technique is validated by simulation results under different radiation conditions and load variation.","PeriodicalId":207935,"journal":{"name":"2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A Robust Maximum Power Point Tracking Based Model Predictive Control and Extended Kalman Filter for PV Systems\",\"authors\":\"Mostafa Ahmed, Mohamed Abdelrahem, R. Kennel, C. Hackl\",\"doi\":\"10.1109/SPEEDAM48782.2020.9161865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Maximum power point tracking (MPPT) is a very important issue in any photovoltaic (PV) system. This paper presents an MPPT using finite control set model predictive control (FCS-MPC), where the system under study is composed of a PV module, boost converter, and resistive load. The proposed MPPT technique not only reduces the required sensors by one but also eliminates the dependency of the control system on the load by using an extended Kalman filter (EKF), which greatly enhances the robustness and reliability of the MPPT based FCSMPC. Finally, the proposed MPPT technique is validated by simulation results under different radiation conditions and load variation.\",\"PeriodicalId\":207935,\"journal\":{\"name\":\"2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPEEDAM48782.2020.9161865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM48782.2020.9161865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

最大功率点跟踪(MPPT)是光伏系统中一个非常重要的问题。本文提出了一种基于有限控制集模型预测控制(FCS-MPC)的MPPT,其中所研究的系统由PV模块,升压变换器和电阻负载组成。所提出的MPPT技术不仅减少了所需的传感器数量,而且通过扩展卡尔曼滤波(EKF)消除了控制系统对负载的依赖,极大地提高了基于MPPT的FCSMPC的鲁棒性和可靠性。最后,在不同的辐射条件和负载变化下,通过仿真结果验证了所提出的MPPT技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Robust Maximum Power Point Tracking Based Model Predictive Control and Extended Kalman Filter for PV Systems
Maximum power point tracking (MPPT) is a very important issue in any photovoltaic (PV) system. This paper presents an MPPT using finite control set model predictive control (FCS-MPC), where the system under study is composed of a PV module, boost converter, and resistive load. The proposed MPPT technique not only reduces the required sensors by one but also eliminates the dependency of the control system on the load by using an extended Kalman filter (EKF), which greatly enhances the robustness and reliability of the MPPT based FCSMPC. Finally, the proposed MPPT technique is validated by simulation results under different radiation conditions and load variation.
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
×
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:604180095
Book学术官方微信