Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Feedback Control Methods for a Single Machine Infinite Bus System

Version 1 : Received: 12 September 2020 / Approved: 14 September 2020 / Online: 14 September 2020 (00:18:10 CEST)

How to cite: Vernekar, P.; Wang, Z.; Serrani, A.; Passino, K. Feedback Control Methods for a Single Machine Infinite Bus System. Preprints 2020, 2020090311. https://doi.org/10.20944/preprints202009.0311.v1 Vernekar, P.; Wang, Z.; Serrani, A.; Passino, K. Feedback Control Methods for a Single Machine Infinite Bus System. Preprints 2020, 2020090311. https://doi.org/10.20944/preprints202009.0311.v1

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.

Keywords

Control Systems; Power Systems; Linear and Nonlinear Control; PID; LQR; LQG; SMIB; Kalman Filter

Subject

Engineering, Control and Systems Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.