A decentralized model predictive control scheme for the automatic generation control problem in power systems

T. Tran
{"title":"A decentralized model predictive control scheme for the automatic generation control problem in power systems","authors":"T. Tran","doi":"10.1109/ICCAIS.2017.8217596","DOIUrl":null,"url":null,"abstract":"We present the application of decentralized Model Predictive Control (MPC) without terminal constraints to the Automatic Generation Control (AGC) problem in power systems. A dissipation-based constraint is additionally enforced to each MPC optimization of a control area — a subsystem within an interconnected system, to assure the overall system stability. A systematic tuning procedure for the enforced dissipation-based constraint is derived with a sequence of linear matrix inequality (LMI) optimizations. It is shown in numerical simulations that, not only the closed-loop stability, but the desirable performance of the AGC relatively to that of the centralized MPC is also obtained with the presenting decentralized MPC scheme.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2017.8217596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

We present the application of decentralized Model Predictive Control (MPC) without terminal constraints to the Automatic Generation Control (AGC) problem in power systems. A dissipation-based constraint is additionally enforced to each MPC optimization of a control area — a subsystem within an interconnected system, to assure the overall system stability. A systematic tuning procedure for the enforced dissipation-based constraint is derived with a sequence of linear matrix inequality (LMI) optimizations. It is shown in numerical simulations that, not only the closed-loop stability, but the desirable performance of the AGC relatively to that of the centralized MPC is also obtained with the presenting decentralized MPC scheme.
电力系统自动发电控制问题的分散模型预测控制方案
提出了无终端约束的分散模型预测控制(MPC)在电力系统自动发电控制(AGC)问题中的应用。一个基于耗散的约束被附加到一个控制区域的每个MPC优化中——一个互联系统中的子系统,以确保整个系统的稳定性。利用线性矩阵不等式(LMI)优化序列,导出了基于强制耗散约束的系统调谐程序。数值模拟结果表明,本文提出的分散MPC方案不仅具有闭环稳定性,而且相对于集中式MPC方案具有较好的AGC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。
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:481959085
Book学术官方微信