光伏系统最大功率点跟踪算法的硬件实现:比较研究

Z. Salah, Saber Krim, Mohamed Ali Hajjaji, A. Mtibaa, M. Mimouni
{"title":"光伏系统最大功率点跟踪算法的硬件实现:比较研究","authors":"Z. Salah, Saber Krim, Mohamed Ali Hajjaji, A. Mtibaa, M. Mimouni","doi":"10.1109/SETIT54465.2022.9875805","DOIUrl":null,"url":null,"abstract":"This paper presents a hardware implementation of Maximum Power Point Tacking (MPPT) algorithms for photovoltaic system using a Field Programmable Gate Array (FPAG). Firstly, a comparison between different MPPT algorithms in terms of efficiency and accuracy is studied in this paper. Secondly, the FPGA is suggested to overcome the software solutions limitations like microcontrollers and digital signal processors in terms sequential of processing, which increases the execution time and the sampling period of the system. In fact, if the sampling period increased the control loop delays raise which consequently affects the system performances. The FPGA has a hardware architecture that executes the control algorithm with very low execution time, thanks to its parallel processing. The architectures of the MPPT algorithms are carried out using a Vivado Xilinx System Generator (XSG) toolbox and implemented on an FPGA Zed-Board Zynq-7000.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hardware Implementation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems: A comparative study\",\"authors\":\"Z. Salah, Saber Krim, Mohamed Ali Hajjaji, A. Mtibaa, M. Mimouni\",\"doi\":\"10.1109/SETIT54465.2022.9875805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a hardware implementation of Maximum Power Point Tacking (MPPT) algorithms for photovoltaic system using a Field Programmable Gate Array (FPAG). Firstly, a comparison between different MPPT algorithms in terms of efficiency and accuracy is studied in this paper. Secondly, the FPGA is suggested to overcome the software solutions limitations like microcontrollers and digital signal processors in terms sequential of processing, which increases the execution time and the sampling period of the system. In fact, if the sampling period increased the control loop delays raise which consequently affects the system performances. The FPGA has a hardware architecture that executes the control algorithm with very low execution time, thanks to its parallel processing. The architectures of the MPPT algorithms are carried out using a Vivado Xilinx System Generator (XSG) toolbox and implemented on an FPGA Zed-Board Zynq-7000.\",\"PeriodicalId\":126155,\"journal\":{\"name\":\"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SETIT54465.2022.9875805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SETIT54465.2022.9875805","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

提出了一种利用现场可编程门阵列(FPAG)实现光伏系统最大功率点跟踪(MPPT)算法的硬件实现方法。首先,本文对不同的MPPT算法在效率和精度方面进行了比较研究。其次,FPGA克服了微控制器和数字信号处理器等软件解决方案在处理顺序上的限制,增加了系统的执行时间和采样周期。实际上,如果采样周期增加,控制回路的延迟会增加,从而影响系统的性能。由于FPGA的并行处理,其硬件架构可以以极低的执行时间执行控制算法。MPPT算法的架构使用Vivado Xilinx System Generator (XSG)工具箱进行,并在FPGA Zed-Board Zynq-7000上实现。
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
Hardware Implementation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems: A comparative study
This paper presents a hardware implementation of Maximum Power Point Tacking (MPPT) algorithms for photovoltaic system using a Field Programmable Gate Array (FPAG). Firstly, a comparison between different MPPT algorithms in terms of efficiency and accuracy is studied in this paper. Secondly, the FPGA is suggested to overcome the software solutions limitations like microcontrollers and digital signal processors in terms sequential of processing, which increases the execution time and the sampling period of the system. In fact, if the sampling period increased the control loop delays raise which consequently affects the system performances. The FPGA has a hardware architecture that executes the control algorithm with very low execution time, thanks to its parallel processing. The architectures of the MPPT algorithms are carried out using a Vivado Xilinx System Generator (XSG) toolbox and implemented on an FPGA Zed-Board Zynq-7000.
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
A Comparison of Machine Learning Methods for best Accuracy COVID-19 Diagnosis Using Chest X-Ray Images Design and Simulation of a PV System Controlled through a Hybrid INC-PSO Algorithm using XSG Tool Analysing ICT Initiatives towards Smart Policing to Assist African Law Enforcement in Combating Cybercrimes Preliminary Study Of A Smart Computer System For Scholar Support Distributed Consensus Control for Multi-Agent Oscillatory Systems
×
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