Modified Drift-free Beta Method with Illumination Factor for Photovoltaic Systems

Huixiang Dai
{"title":"Modified Drift-free Beta Method with Illumination Factor for Photovoltaic Systems","authors":"Huixiang Dai","doi":"10.1145/3558819.3565130","DOIUrl":null,"url":null,"abstract":"Maximum power point tracking (MPPT) is crucial for photovoltaic (PV) systems to adjust gain energy under various environmental conditions. However, the limitations of conventional MPPT will lead to the energy loss caused by steady-state three-level oscillations and dynamic slow response. Moreover, the traditional P&O has a drift problem in boosting irradiation intensity. The drift problem is serious when the irradiation intensity increases rapidly. A modified drift-free beta method combined with adaptive step-size and illumination factor is proposed to avoid the drift phenomenon and ameliorate the dynamic and steady-state capability. An intermediate variable beta (β) is introduced for fast convergence speed enhancement. Furthermore, the illumination amplitude factor is developed to improve the tracking accuracy and reduce the instability of sudden irradiation changes. By incorporating the sign of current variation, the drift issue is addressed. The effectiveness of the proposed control is validated in MATLAB with various conditions.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3558819.3565130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Maximum power point tracking (MPPT) is crucial for photovoltaic (PV) systems to adjust gain energy under various environmental conditions. However, the limitations of conventional MPPT will lead to the energy loss caused by steady-state three-level oscillations and dynamic slow response. Moreover, the traditional P&O has a drift problem in boosting irradiation intensity. The drift problem is serious when the irradiation intensity increases rapidly. A modified drift-free beta method combined with adaptive step-size and illumination factor is proposed to avoid the drift phenomenon and ameliorate the dynamic and steady-state capability. An intermediate variable beta (β) is introduced for fast convergence speed enhancement. Furthermore, the illumination amplitude factor is developed to improve the tracking accuracy and reduce the instability of sudden irradiation changes. By incorporating the sign of current variation, the drift issue is addressed. The effectiveness of the proposed control is validated in MATLAB with various conditions.
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
基于光照因子的光伏系统改进无漂移Beta法
最大功率点跟踪(MPPT)是光伏系统在各种环境条件下调节增益能量的关键。然而,传统MPPT的局限性会导致稳态三能级振荡和动态慢响应造成能量损失。此外,传统的P&O在提高辐照强度方面存在漂移问题。当辐照强度迅速增加时,漂移问题严重。提出了一种结合自适应步长和光照因子的改进无漂移方法,避免了漂移现象,改善了系统的动态和稳态性能。为了快速提高收敛速度,引入了中间变量β (β)。在此基础上,提出了光照幅度因子,提高了跟踪精度,降低了光照突变的不稳定性。通过结合当前变化的符号,解决了漂移问题。在MATLAB中对所提控制方法的有效性进行了验证。
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
Development and Application of Portable Multi-Function Power Distribution Emergency Repair Standardized Equipment Research on Automatic Self-healing Control of Intelligent Feeder based on Multi-Agent Algorithm Research and implementation of IP address management in medium and large-scale local area networks Application of Compressive Sensing Technology and Image Processing in Space Exploration House Price Prediction Model Using Bridge Memristors Recurrent 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: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