Feedback Control Methods for a Single Machine Infinite Bus System

TL;DR

This paper develops and compares various control strategies for a Single Machine Infinite Bus system using reduced-order models validated against a high-fidelity physics-based model, highlighting their effectiveness across different operating points.

Contribution

It introduces control-oriented models for SMIB systems and evaluates multiple control strategies, including nonlinear and linear methods, on a high-fidelity model for the first time.

Findings

Controllers perform effectively across different operating points.

Nonlinear feedback-linearizing control shows superior performance.

Linear controllers like LQR and PID are computationally efficient.

Abstract

In this manuscript, we present a high-fidelity physics-based truth model of a Single Machine Infinite Bus (SMIB) system. We also present reduced-order control-oriented nonlinear and linear models of a synchronous generator-turbine system connected to a power grid. The reduced-order control-oriented models are next used to design various control strategies such as: proportional-integral derivative (PID), linear-quadratic regulator (LQR), pole placement-based state feedback, observer-based output feedback, loop transfer recovery (LTR)-based linear-quadratic-Gaussian (LQG), and nonlinear feedback-linearizing control for the SMIB system. The controllers developed are then validated on the high-fidelity physics-based truth model of the SMIB system. Finally, a comparison is made of the performance of the controllers at different operating points of the SMIB system.