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Optimal Controller Design for a Turbogenerator Automatic Voltage Regulator and Governor using Two Degree of Freedom Linear Quadratic Gaussian (2DOFLQG)

by Firas M. Tuaimah, Nihad M. Al-rawi, Waleed A. Mahmoud
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 12
Year of Publication: 2014
Authors: Firas M. Tuaimah, Nihad M. Al-rawi, Waleed A. Mahmoud
10.5120/14890-3289

Firas M. Tuaimah, Nihad M. Al-rawi, Waleed A. Mahmoud . Optimal Controller Design for a Turbogenerator Automatic Voltage Regulator and Governor using Two Degree of Freedom Linear Quadratic Gaussian (2DOFLQG). International Journal of Computer Applications. 85, 12 ( January 2014), 1-7. DOI=10.5120/14890-3289

@article{ 10.5120/14890-3289,
author = { Firas M. Tuaimah, Nihad M. Al-rawi, Waleed A. Mahmoud },
title = { Optimal Controller Design for a Turbogenerator Automatic Voltage Regulator and Governor using Two Degree of Freedom Linear Quadratic Gaussian (2DOFLQG) },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 12 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number12/14890-3289/ },
doi = { 10.5120/14890-3289 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:13.468195+05:30
%A Firas M. Tuaimah
%A Nihad M. Al-rawi
%A Waleed A. Mahmoud
%T Optimal Controller Design for a Turbogenerator Automatic Voltage Regulator and Governor using Two Degree of Freedom Linear Quadratic Gaussian (2DOFLQG)
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 12
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduces a computational methodology that adopted a method of Linear Quadratic Gaussian (LQG) controller as Automatic Voltage Regulator (AVR) and Governor to control the generator terminal voltage and the turbine speed. In this method the models were assumed to be Linear, depending on this method the controller power consumption was minimized depending on some performance index, which is assumed to be Quadratic. This method was taken into account the noise and the disturbance in view, considered its distribution as Gaussian. The two degree of freedom (2DOF) structure was adopted, in which two controllers are used. The effectiveness of the proposed control action is demonstrated through some computer simulations on a Single-Machine Infinite- Bus (SMIB) power system. To accommodate stability requirements, a mathematical model for the generator and the turbine was derived based on the two-axis theorem and starting from the swing equation. Results obtained show that adopting such a controller enhanced the steady state and transient stability.

References
  1. Michael J. Basler and Richard C. Schaefer: Understanding Power System Stability, Basler Electric Company, IEEE 2005.
  2. P. Kundor: power system stability and control, McGraw-Hill, Inc, 1994.
  3. R. Asgharian and D. C. Macdonald "the design of turbine-generator optimal controllers including the effect of torsional modes of oscillation" IEEE Transactions on Energy Conversion, Vol. 3, No. 2, June 1988, pp. 230-234
  4. Ranjan Vepa "Nonlinear, Optimal Control of a Wind Turbine Generator" IEEE Transactions on Energy Conversion, Vol. 26, No. 2, June 2011, pp. 468-478.
  5. Youssef A. Smailli and Ali T. Alouani"An Hinfinity governor exciter controller design for a power system" First IEEE Conference on control applications, Vol. 2, 1992, pp. 770-775.
  6. M. Djukanovic et. al. "neural-net based coordinated stabilizing control for the exciter and governor loops of low head hydropower plants" IEEE Transactions on Energy Conversion, Vol. 10, No. 4, December 1995, pp. 760-767.
  7. F. Fatehi et. al. "robust power system controller design based on measured models" IEEE Transactions on Power Systems, Vol. 11, No. 2, May 1996, pp. 774-780.
  8. Gui-chen ZHANG"Augmented LQG optimal control of dynamic performance for ETG system" International Conference on Artificial Intelligence and Computational Intelligence, 2009
  9. E. A. Feilat and N. Younan" on-line adaptive assessment of the synchronizing and damping torque coefficients using Kalman filtering" Southeastcon '99. Proceedings IEEE publisher, 1999, pp. 145-148.
  10. T. C. Yang and H. Cimen: Applying Structured Singular Values and a New LQR Design to Robust Decentralized Power System Load Frequency Control, Proceedings of The IEEE International Conference on Industrial Technology, 1996.
  11. Peter Dorato, Chaoyki T. Abdallah and Vito Cerone: Linear Quadratic Control An Introduction; Krieger Publishing Company 2000.
  12. Wook Hyun Kwon and Soo Hee Han: Receding Horizon Predictive Control; Prentice Hall, Nov. 2, 2003.
  13. M. J. Grimble :Robust Industrial Control Systems Optimal Design Approach for Polynomial Systems; John Wiley & Sons, Ltd 2006.
  14. S. Skogested and I. Postlethwaite: Multivariable Feedback Control: Analysis and Design second edition; John Wiley & Sons, Ltd, 2005.
  15. Katsuhiko Ogata: System Dynamics; Prentice Hall International, Inc. Third Edition 1998.
  16. Katsuhiko Ogata: Modern Control Engineering; Prentice Hall International, Inc. Fourth Edition 2002.
  17. Richard C. Dorf and Robert H. Bishop: Modern Control Systems; Pearson Prentice Hall, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

LQG control generator and turbine modeling two degree of freedom damping torque

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