An adaptive control strategy for microgrid secondary frequency based on parameter identification

IF 1.9 Q4 ENERGY & FUELS Global Energy Interconnection Pub Date : 2023-10-01 DOI:10.1016/j.gloei.2023.10.006
Yong Shi , Yin Cheng , Bao Xie , Jianhui Su
{"title":"An adaptive control strategy for microgrid secondary frequency based on parameter identification","authors":"Yong Shi ,&nbsp;Yin Cheng ,&nbsp;Bao Xie ,&nbsp;Jianhui Su","doi":"10.1016/j.gloei.2023.10.006","DOIUrl":null,"url":null,"abstract":"<div><p>Complex microgrid structures and time-varying conditions, among other factors, cause problems in the mechanical modeling of microgrids, making model-based controller optimization difficult. Therefore, this study proposed a secondary frequency adaptive control strategy based on parameter identification, which uses an online parameter identification method to identify the parameters in the microgrid in real-time. The identified parameters are then used in the secondary frequency adaptive controller to optimize the real-time controller performance. The proposed method realizes adaptive optimization of the controller in the microgrid operation state and is applied to a microgrid with unknown parameters to adjust the controller parameters. Finally, a simulation experiment was conducted to verify the model accuracy and the frequency regulation effect of the proposed adaptive control strategy</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Energy Interconnection","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096511723000816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Complex microgrid structures and time-varying conditions, among other factors, cause problems in the mechanical modeling of microgrids, making model-based controller optimization difficult. Therefore, this study proposed a secondary frequency adaptive control strategy based on parameter identification, which uses an online parameter identification method to identify the parameters in the microgrid in real-time. The identified parameters are then used in the secondary frequency adaptive controller to optimize the real-time controller performance. The proposed method realizes adaptive optimization of the controller in the microgrid operation state and is applied to a microgrid with unknown parameters to adjust the controller parameters. Finally, a simulation experiment was conducted to verify the model accuracy and the frequency regulation effect of the proposed adaptive control strategy

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
基于参数辨识的微电网二次频率自适应控制策略
复杂的微电网结构和时变条件等因素导致微电网的机械建模出现问题,使基于模型的控制器优化变得困难。因此,本研究提出了一种基于参数识别的二次频率自适应控制策略,该策略使用在线参数识别方法实时识别微电网中的参数。识别出的参数然后在次级频率自适应控制器中使用,以优化实时控制器性能。该方法实现了微电网运行状态下控制器的自适应优化,并应用于参数未知的微电网,对控制器参数进行调整。最后,通过仿真实验验证了模型的准确性和自适应控制策略的调频效果
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
Global Energy Interconnection
Global Energy Interconnection Engineering-Automotive Engineering
CiteScore
5.70
自引率
0.00%
发文量
985
审稿时长
15 weeks
期刊最新文献
Vibration and noise mechanism of a 110 kV transformer under DC bias based on finite element method A novel cascaded H-bridge photovoltaic inverter with flexible arc suppression function Consideration of the influence of supports in modeling the electromagnetic fields of 25 kV traction networks under emergency conditions Impact of the carbon market on investment benefits of power-grid enterprises in China: A system dynamics analysis Optimized scheduling of integrated energy systems for low carbon economy considering carbon transaction costs
×
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