Model predictive controller based load frequency control of isolated microgrid system integrated to plugged-in electric vehicle

Sonalika Mishra, P. C. Nayak, Umesh Chandra Prusty, R. Prusty
{"title":"Model predictive controller based load frequency control of isolated microgrid system integrated to plugged-in electric vehicle","authors":"Sonalika Mishra, P. C. Nayak, Umesh Chandra Prusty, R. Prusty","doi":"10.1109/ODICON50556.2021.9428956","DOIUrl":null,"url":null,"abstract":"This paper introduces a model predictive controller for load frequency control of an isolated ac microgrid system, clustered with the wind system, solar system, and plugged in an electric vehicle. The model predictive controller is an active model-based control which predicts a signal for future control action based on past, present, and future variable of the system. The present study involves a model predictive controller for microgrid load frequency control in the presence of an electric vehicle as a maiden work. The controlled structure formed on the basics of minimization of controller error. The robustness of the controller is tested under a different type of source power fluctuation, load power fluctuation, and simultaneous source and load fluctuation. The predominance of the projected approach is related to conventional GA tuned PID and PI controller. The pragmatic picture of the efficiency of this work is shown by testing it against sinusoidal load perturbation.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ODICON50556.2021.9428956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

This paper introduces a model predictive controller for load frequency control of an isolated ac microgrid system, clustered with the wind system, solar system, and plugged in an electric vehicle. The model predictive controller is an active model-based control which predicts a signal for future control action based on past, present, and future variable of the system. The present study involves a model predictive controller for microgrid load frequency control in the presence of an electric vehicle as a maiden work. The controlled structure formed on the basics of minimization of controller error. The robustness of the controller is tested under a different type of source power fluctuation, load power fluctuation, and simultaneous source and load fluctuation. The predominance of the projected approach is related to conventional GA tuned PID and PI controller. The pragmatic picture of the efficiency of this work is shown by testing it against sinusoidal load perturbation.
基于模型预测控制器的插电式电动车隔离微电网系统负荷频率控制
本文介绍了一种用于隔离型交流微电网负荷频率控制的模型预测控制器,该系统与风力系统、太阳能系统并网,并插入电动汽车。模型预测控制器是一种基于主动模型的控制器,它根据系统的过去、现在和未来变量来预测未来控制动作的信号。本文研究了一种用于电动汽车存在情况下微电网负荷频率控制的模型预测控制器。被控结构是在控制器误差最小的基础上形成的。在不同类型的源功率波动、负载功率波动和源负载同时波动情况下,对控制器的鲁棒性进行了测试。投影方法的优势与传统的遗传调谐PID和PI控制器有关。通过对正弦负载摄动的测试,显示了这项工作效率的实际情况。
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 求助全文
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