基于自整定模糊PID控制器的孤岛微电网频率控制

Yasir Yousuf, Javed Dhillon, Sachin Mishra
{"title":"基于自整定模糊PID控制器的孤岛微电网频率控制","authors":"Yasir Yousuf, Javed Dhillon, Sachin Mishra","doi":"10.1109/ICAIA57370.2023.10169429","DOIUrl":null,"url":null,"abstract":"This For microgrids operating in the islanding mode, the stochastic and intermittent output from renewable energy may result in system frequency deviating from the desired level as renewable energy is increasingly integrated into the power system. This paper discusses a self-tuning based fuzzy PID controller frequency control technique for an island microgrid. The fuel cell, flywheel energy storage system, battery energy storage system, diesel generator, and PV system make up the proposed microgrid system. Due to the growing complexity and nonlinear nature of these systems, the fluctuation in the consumption load and generated power has made frequency regulation difficult. This controller’s main goal is to regulate the frequency of an island microgrid. Self-tuning fuzzy PID controller and PID controller are compared, and the results of the simulation reveal that the fuzzy performs better in terms of frequency deviations.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Frequency control of an islanded microgrid using self-tuning fuzzy PID controller\",\"authors\":\"Yasir Yousuf, Javed Dhillon, Sachin Mishra\",\"doi\":\"10.1109/ICAIA57370.2023.10169429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This For microgrids operating in the islanding mode, the stochastic and intermittent output from renewable energy may result in system frequency deviating from the desired level as renewable energy is increasingly integrated into the power system. This paper discusses a self-tuning based fuzzy PID controller frequency control technique for an island microgrid. The fuel cell, flywheel energy storage system, battery energy storage system, diesel generator, and PV system make up the proposed microgrid system. Due to the growing complexity and nonlinear nature of these systems, the fluctuation in the consumption load and generated power has made frequency regulation difficult. This controller’s main goal is to regulate the frequency of an island microgrid. Self-tuning fuzzy PID controller and PID controller are compared, and the results of the simulation reveal that the fuzzy performs better in terms of frequency deviations.\",\"PeriodicalId\":196526,\"journal\":{\"name\":\"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIA57370.2023.10169429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIA57370.2023.10169429","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

对于孤岛模式运行的微电网,随着可再生能源越来越多地融入电力系统,可再生能源输出的随机性和间歇性可能导致系统频率偏离预期水平。本文讨论了一种基于自整定模糊PID控制器的孤岛微电网频率控制技术。微电网系统由燃料电池、飞轮储能系统、蓄电池储能系统、柴油发电机和光伏系统组成。由于这些系统的复杂性和非线性,消耗负荷和发电功率的波动给频率调节带来了困难。该控制器的主要目标是调节孤岛微电网的频率。比较了自整定模糊PID控制器和自整定模糊PID控制器,仿真结果表明,自整定模糊PID控制器在控制频率偏差方面具有更好的性能。
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
Frequency control of an islanded microgrid using self-tuning fuzzy PID controller
This For microgrids operating in the islanding mode, the stochastic and intermittent output from renewable energy may result in system frequency deviating from the desired level as renewable energy is increasingly integrated into the power system. This paper discusses a self-tuning based fuzzy PID controller frequency control technique for an island microgrid. The fuel cell, flywheel energy storage system, battery energy storage system, diesel generator, and PV system make up the proposed microgrid system. Due to the growing complexity and nonlinear nature of these systems, the fluctuation in the consumption load and generated power has made frequency regulation difficult. This controller’s main goal is to regulate the frequency of an island microgrid. Self-tuning fuzzy PID controller and PID controller are compared, and the results of the simulation reveal that the fuzzy performs better in terms of frequency deviations.
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 Survey Paper on Precision Agriculture based Intelligent system for Plant Leaf Disease Identification An End to End Hybrid Learning Model for Covid-19 Detection from Chest X-ray Images A Comparison between the FOTID and FOPID Controller for the Close-Loop Speed Control of a DC Motor System Software Requirement Classification Using Machine Learning Algorithms Flood Risk Assessment Mapping of Nainital District Using GIS Tools
×
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