TY - JOUR
T1 - Online partitioning method for decentralized control of linear switching large-scale systems
AU - Ananduta, Wicak
AU - Pippia, Tomás
AU - Ocampo-Martinez, Carlos
AU - Sijs, Joris
AU - De Schutter, Bart
N1 - Accepted Author Manuscript
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85062089653&partnerID=8YFLogxK
U2 - 10.1016/j.jfranklin.2018.10.038
DO - 10.1016/j.jfranklin.2018.10.038
M3 - Article
AN - SCOPUS:85062089653
SN - 0016-0032
VL - 356
SP - 3290
EP - 3313
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 6
ER -