Partial Feedback Linearization Approach To Nonlinear Control of Synchronous Generator With Transient Model

Modern power systems are complex and nonlinear, requiring high-performance controllers to maintain system stability. This research presents the uses of nonlinear control called partial feedback linearization (PFBL) in power systems to restore equilibrium when dealing with disturbances. The PFBL controller is used to guarantee small-signal and transient stability. The linear quadratic regulator (LQR) method calculates the control law. The control law’s application models are the detailed transient model of synchronous machines and an IEEE Exciter Type-I. When compared to traditional controllers like power system stabilizers (PSS), PFBL is an effective controller for preventing instability in the power system as demonstrated by the simulation of various disturbances in the SMIB model. This nonlinear controller is also less sensitive to changing operations because it does not rely on the operating point on the system, while the linear controller does.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/icitee62483.2024.10808257
Primary Topic
Power System Optimization and Stability
Type
article
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article

Partial Feedback Linearization Approach To Nonlinear Control of Synchronous Generator With Transient Model

Husni Rois Ali, Lesnanto Multa Putranto, Sabira Geralda Harnanda
Power System Optimization and Stability
article

Partial Feedback Linearization Approach To Nonlinear Control of Synchronous Generator With Transient Model

Husni Rois Ali, Lesnanto Multa Putranto, Sabira Geralda Harnanda
article en

Abstract

Modern power systems are complex and nonlinear, requiring high-performance controllers to maintain system stability. This research presents the uses of nonlinear control called partial feedback linearization (PFBL) in power systems to restore equilibrium when dealing with disturbances. The PFBL controller is used to guarantee small-signal and transient stability. The linear quadratic regulator (LQR) method calculates the control law. The control law’s application models are the detailed transient model of synchronous machines and an IEEE Exciter Type-I. When compared to traditional controllers like power system stabilizers (PSS), PFBL is an effective controller for preventing instability in the power system as demonstrated by the simulation of various disturbances in the SMIB model. This nonlinear controller is also less sensitive to changing operations because it does not rely on the operating point on the system, while the linear controller does.

Universitas Gadjah Mada (ID)
Openalex Percentile: Top 78%
Power System Optimization and Stability
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