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Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics

Authors :
Cui, Bai
Zamzam, Ahmed
Cavraro, Guido
Bernstein, Andrey
Source :
IEEE Transactions on Control of Network Systems; September 2022, Vol. 9 Issue: 3 p1506-1517, 12p
Publication Year :
2022

Abstract

In this article, we study the monitoring and control of long-term voltage stability considering load tap changer (LTC) dynamics. We show that under generic conditions, the LTC dynamics admit a unique stable equilibrium. For the stable equilibrium, we characterize an explicit inner approximation of its largest region of attraction (ROA). Compared to existing results, the computational complexity of the ROA characterization is drastically reduced. We propose a quadratically constrained linear program formulation for the ROA characterization problem. In addition, we formulate a second-order cone program for online voltage stability monitoring and control exploiting the proposed ROA characterization. We demonstrate the efficacy of the proposed formulations on the ROA characterization and stability monitoring and control using a standard IEEE test system.

Details

Language :
English
ISSN :
23722533 and 23255870
Volume :
9
Issue :
3
Database :
Supplemental Index
Journal :
IEEE Transactions on Control of Network Systems
Publication Type :
Periodical
Accession number :
ejs60866876
Full Text :
https://doi.org/10.1109/TCNS.2022.3140695