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
相关论文
共 50 条
  • [31] Case Studies in Data-Driven Verification of Dynamical Systems
    Kozarev, Alexandar
    Quindlen, John
    How, Jonathan
    Topcu, Ufuk
    HSCC'16: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON HYBRID SYSTEMS: COMPUTATION AND CONTROL, 2016, : 81 - 86
  • [32] Data-driven Reactive Power Optimization for Distribution Networks Using Capsule Networks
    Liao, Wenlong
    Chen, Jiejing
    Liu, Qi
    Zhu, Ruijin
    Song, Like
    Yang, Zhe
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2022, 10 (05) : 1274 - 1287
  • [33] Data-driven Reactive Power Optimization for Distribution Networks Using Capsule Networks
    Wenlong Liao
    Jiejing Chen
    Qi Liu
    Ruijin Zhu
    Like Song
    Zhe Yang
    JournalofModernPowerSystemsandCleanEnergy, 2022, 10 (05) : 1274 - 1287
  • [34] Diffusive Phenomena in Dynamic Networks: A Data-Driven Study
    Milli, Letizia
    Rossetti, Giulio
    Pedreschi, Dino
    Giannotti, Fosca
    COMPLEX NETWORKS IX, 2018, : 151 - 159
  • [35] Network Sharing for Reliable Networks: A Data-Driven Study
    Gomes, Andre
    Kibilda, Jacek
    Farhang, Arman
    Farrell, Ronan
    DaSilva, Luiz A.
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [36] Data-driven time propagation of quantum systems with neural networks
    Nelson, James
    Coopmans, Luuk
    Kells, Graham
    Sanvito, Stefano
    PHYSICAL REVIEW B, 2022, 106 (04)
  • [37] Data-Driven Energy Conservation in Cellular Networks: A Systems Approach
    Premsankar, Gopika
    Piao, Guangyuan
    Nicholson, Patrick K.
    Di Francesco, Mario
    Lugones, Diego
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (03): : 3567 - 3582
  • [38] Historical Data-Driven State Estimation for Electric Power Systems
    Weng, Yang
    Negi, Rohit
    Ilic, Marija D.
    2013 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2013, : 97 - 102
  • [39] Data-Driven Voltage Regulation in Radial Power Distribution Systems
    Xu, Hanchen
    Dominguez-Garcia, Alejandro D.
    Veeravalli, Venugopal V.
    Sauer, Peter W.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (03) : 2133 - 2143
  • [40] A Data-driven Voltage Control Framework for Power Distribution Systems
    Xu, Hanchen
    Dominguez-Garcia, Alejandro D.
    Sauer, Peter W.
    2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
12345