Online partitioning method for decentralized control of linear switching large-scale systems

Journal Article (2019)
Author(s)

Wayan Wicak Ananduta (Institut de Ròbotica i Informàtica Industrial, Barcelona)

Tomas Pippia (TU Delft - Team Bart De Schutter)

Carlos Ocampo Martinez (Institut de Ròbotica i Informàtica Industrial, Barcelona)

J. Sijs (TU Delft - Team Bart De Schutter, TNO)

B. Schutter (TU Delft - Team Bart De Schutter)

Research Group
Team Bart De Schutter
Copyright
© 2019 Wicak Ananduta, T.M. Pippia, Carlos Ocampo-Martinez, J. Sijs, B.H.K. De Schutter
DOI related publication
https://doi.org/10.1016/j.jfranklin.2018.10.038
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Wicak Ananduta, T.M. Pippia, Carlos Ocampo-Martinez, J. Sijs, B.H.K. De Schutter
Research Group
Team Bart De Schutter
Issue number
6
Volume number
356
Pages (from-to)
3290-3313
Reuse Rights

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Abstract

A novel partitioning approach for linear switching large-scale systems is presented. We assume that the modes of the switching system are unknown a priori but can be detected. We propose an online partitioning scheme that can partition the system when the mode switches, thus adapting the partition to the mode. Moreover, after the system has been partitioned, we apply a decentralized state-feedback control scheme to stabilize the system. We also apply a dwell time stability scheme to prove that the closed-loop system remains stable even after both the mode and partition changes. The proposed approach is illustrated by means of an automatic generation control problem related to frequency deviation regulation in a large-scale power network.

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