2003•Unpublished venueRequires access

Design of power system stabilizer based on LQG/LTR formulations

Ghadir Radman

Open publisher page 4 citations

Abstract

The design of power system stabilizers using linear quadratic Gaussian regulator methodology with loop transfer recovery (LQG/LTR) is considered. A one-machine infinite-bus system is used to test the effectiveness of the proposed stabilizer. The stabilizer is designed using a low-order linear model of the power system. A computer simulation was performed with a complete high-order nonlinear model. It is shown that the closed-loop system with the proposed stabilizer is very robust; i.e. it remained stable for a large amount of disturbance and/or perturbation.>

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What this paper is about

The design of power system stabilizers using linear quadratic Gaussian regulator methodology with loop transfer recovery (LQG/LTR) is considered. A one-machine infinite-bus system is used to test the effectiveness of the proposed stabilizer. The stabilizer is designed using a low-order linear model of the power system. A computer simulation was performed with a complete high-order nonlinear model. It is shown that the closed-loop system with the proposed stabilizer is very robust; i.e. it remained stable for a large amount of disturbance and/or perturbation.>

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The design of power system stabilizers using linear quadratic Gaussian regulator methodology with loop transfer recovery (LQG/LTR) is considered. A one-machine infinite-bus system is used to test the effectiveness of the proposed stabilizer. The stabilizer is designed using a low-order linear model of the power system. A computer simulation was performed with a complete high-order nonlinear model. It is shown that the closed-loop system with the proposed stabilizer is very robust; i.e. it remained stable for a large amount of disturbance and/or perturbation.>

Key concepts: Linear-quadratic-Gaussian control, Control theory (sociology), Linear-quadratic regulator, Stabilizer (aeronautics), Regulator, Perturbation (astronomy), Optimal projection equations, Nonlinear system

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