Data-driven MPC of descriptor systems: A case study for power networks

被引：6
|
作者：
Schmitz, Philipp [1 ]
Engelmann, Alexander [2 ]
Faulwasser, Timm [2 ]
Worthmann, Karl [1 ]
机构：
[1] Tech Univ Ilmenau, Inst Math, Optimizat Based Control, Ilmenau, Germany
[2] TU Dortmund Univ, Inst Energy Syst Energy Efficiency & Energy Econ, Dortmund, Germany
来源：
IFAC PAPERSONLINE | 2022年 / 55卷 / 30期
关键词：
Data-driven control; descriptor systems; MPC; Willems' fundamental lemma; optimal control; power-swing equations; power systems; AUTOMATIC-GENERATION CONTROL; FREQUENCY CONTROL; STABILITY; MODEL; MICROGRIDS;
D O I：
10.1016/j.ifacol.2022.11.079
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, data-driven predictive control of linear systems has received wide-spread research attention. It hinges on the fundamental lemma by Willems et al. In a previous paper, we have shown how this framework can be applied to predictive control of linear time-invariant descriptor systems. In the present paper, we present a case study wherein we apply data-driven predictive control to a discrete-time descriptor model obtained by discretization of the power-swing equations for a nine-bus system. Our results show the efficacy of the proposed control scheme and they underpin the prospect of the data-driven framework for control of descriptor systems. Copyright (C) 2022 The Authors.
引用
收藏
页码：359 / 364
页数：6
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