Fractional PID Controller Tuning Using Krill Herd for Renewable Power Systems Control

R. Mohamed, Bilal Boudy, H. Gabbar
{"title":"Fractional PID Controller Tuning Using Krill Herd for Renewable Power Systems Control","authors":"R. Mohamed, Bilal Boudy, H. Gabbar","doi":"10.1109/SEGE52446.2021.9534982","DOIUrl":null,"url":null,"abstract":"This paper addresses the optimization of the Fractional Order PID controller (FOPID) parameters used to control the frequency and power deviation of hybrid power system based renewable energy generation. This proposed system consists of renewable energy generation like wind and photovoltaic systems with conventional sources such as diesel generator and fuel cell along with Energy Storage Systems (Battery Energy Storage Systems (BESS) and Flywheel Energy Storage Systems (FESS)). The Krill Herd algorithm is used to determine the gains parameters of the Fractional Order PID controller. The scope of this paper is to eliminate the frequency and power deviation to provide stability of the proposed system. The obtained results show that the proposed controller enhances the system stability performance in comparison with the PID controller.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEGE52446.2021.9534982","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

This paper addresses the optimization of the Fractional Order PID controller (FOPID) parameters used to control the frequency and power deviation of hybrid power system based renewable energy generation. This proposed system consists of renewable energy generation like wind and photovoltaic systems with conventional sources such as diesel generator and fuel cell along with Energy Storage Systems (Battery Energy Storage Systems (BESS) and Flywheel Energy Storage Systems (FESS)). The Krill Herd algorithm is used to determine the gains parameters of the Fractional Order PID controller. The scope of this paper is to eliminate the frequency and power deviation to provide stability of the proposed system. The obtained results show that the proposed controller enhances the system stability performance in comparison with the PID controller.
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
基于磷虾群的分数阶PID控制器整定用于可再生能源系统控制
研究了基于可再生能源发电的混合电力系统频率和功率偏差控制的分数阶PID控制器(FOPID)参数的优化问题。这个拟议的系统包括可再生能源发电,如风能和光伏系统与传统的来源,如柴油发电机和燃料电池以及能量存储系统(电池能量存储系统(BESS)和飞轮能量存储系统(FESS))。采用Krill Herd算法确定分数阶PID控制器的增益参数。本文的研究范围是消除频率和功率偏差,以保证系统的稳定性。结果表明,与PID控制器相比,所提出的控制器提高了系统的稳定性。
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
Sampling Strategy Analysis of Machine Learning Models for Energy Consumption Prediction Applications of Artificial Intelligence in Smart Grids: Present and Future Research Domains Fault Current Level Analysis of Future Microgrids with High Penetration Level of Power Electronic-Based Generation Environmental Assessment of Digital Infrastructure in Decentralized Smart Grids Full Shading for Photovoltaic Systems Operating under Snow Conditions
×
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