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. Preprints2020, 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
Vernekar, P.; Wang, Z.; Serrani, A.; Passino, K. Feedback Control Methods for a Single Machine Infinite Bus System. Preprints2020, 2020090311. https://doi.org/10.20944/preprints202009.0311.v1
APA Style
Vernekar, P., Wang, Z., Serrani, A., & Passino, K. (2020). Feedback Control Methods for a Single Machine Infinite Bus System. Preprints. https://doi.org/10.20944/preprints202009.0311.v1
Chicago/Turabian Style
Vernekar, P., Andrea Serrani and Kevin Passino. 2020 "Feedback Control Methods for a Single Machine Infinite Bus System" Preprints. 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
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.