CFP last date
20 May 2024
Reseach Article

Damping Low Frequency Oscillations in Power System using Quadratic Gaussian Technique based Control System Design

by Ibraheem K. Ibraheem
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 11
Year of Publication: 2014
Authors: Ibraheem K. Ibraheem

Ibraheem K. Ibraheem . Damping Low Frequency Oscillations in Power System using Quadratic Gaussian Technique based Control System Design. International Journal of Computer Applications. 92, 11 ( April 2014), 18-23. DOI=10.5120/16052-5204

@article{ 10.5120/16052-5204,
author = { Ibraheem K. Ibraheem },
title = { Damping Low Frequency Oscillations in Power System using Quadratic Gaussian Technique based Control System Design },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 11 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { },
doi = { 10.5120/16052-5204 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:14:01.930427+05:30
%A Ibraheem K. Ibraheem
%T Damping Low Frequency Oscillations in Power System using Quadratic Gaussian Technique based Control System Design
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 11
%P 18-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

The aim of this paper is to examine the effect of inclusion of a linear quadratic Gaussian controller instead of the conventional AVR with the existence of a PSS for improving the dynamic stability of power system. The present work introduces a computational methodology that adopted a Linear Quadratic Gaussian (LQG) controller to control the generator. In this method the models of both the synchronous generator and the PSS 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. The Two Degree of Freedom (2DOF) structure was adopted, in which two controllers are used, the first one is the LQG controller and the second one is the integral controller. The proposed controller has been checked and investigated with simulations run under Matlab environment on single machine infinite bus (SMIB) system and compared with the traditional design methods. From these results, it is clear that the LQG controller can enhances the steady state stability very clearly. The results also show that the use of the LQG, controller increases the damping torque that substitutes the need to the Power System Stabilizer (PSS).

  1. P. M. Anderson, A. A. Fouad. 2002. Power System Control and Stability. 2nd edition. Wiley-IEEE press.
  2. H. G. Sedding, B. A Lloyd, G. C Stone, J. M Braun, J. C White. 1989. Development of novel instrumentation and expert system concepts in turbine generator condition monitoring. Fourth International Conference on Electrical Machines and Drives.
  3. M. J. Basler, R. C Schaefer. 2007. Understanding Power System Stability. Pulp and Paper Industry Technical Conference, conference Record of Annual.
  4. P. Kundor. 1994. Power system stability and control, McGraw-Hill, Inc.
  5. E. A. Feilat, N Younan. 1999. On-line adaptive assessment of the synchronizing and damping torque coefficients using Kalman filtering. IEEE Proceedings Southeastcon '99.
  6. Zwe-Lee Gaing. 2004. A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System, IEEE Trans. on Energy Conversion, Vol. 19, No. 2.
  7. R. Mohammadi-Milasi, M. J. Yazdanpanah, P. Jabehdar-Maralani. 2004. A novel adaptive gain-scheduling controller for synchronous generator. Proceedings of the 2004 IEEE International Conference on Control Applications, Vol. 1.
  8. Omer M. Awed-Badeeb. 2006. Damping of electromechanical modes Using power system stabilizers (pss)Case: electrical yemeni network. Journal of Electrical Engineering, VOL. 57, NO. 5, 291–295.
  9. I. K. Ibraheem. 2011. A Digital-Based Optimal AVR Design of Synchronous Generator Exciter using LQR Technique. ", Al-Khwarizmi Engineering Journal, ISSN: 1818-1171, v. 7, no. 1.
  10. M. Bouhamida, A. Mokhtari, M. A. Denai. 2005. Power System Stabilizer Design Based on Robust Control Techniques. ACSE Journal, Volume (5), Issue (3).
  11. Y. Peng, H. Nouri, Q. M. Zhu, L. Cheng. 2011. Robust Controller Design Survey for Damping Low Frequency Oscillations in Power Systems. Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific.
  12. Y. Peng, Q. M. Zhu, H. Nouri. 2011. Robust H2 Power System Stabilizer Design using LMI Techniques. Proceedings of International Conference on Modelling, Identification and Control, Shanghai, China, June 26-29.
  13. O. Abedinia, B. Wyns, A. Ghasemi. 2011. Robust Fuzzy PSS Design using ABC. 10th International Conference on Environment and Electrical Engineering (EEEIC), 8-11 May, pp. 1 – 4.
  14. M. Marsaline Beno, N. Albert Singh, M. Ciba Therase, M. Mohamed Syed Ibrahim. 2011. Design of PSS for damping low frequency oscillations using Bacteria foraging tuned non-linear Neuro-Fuzzy Controller. IEEE GCC conference and exhibition, Dubai, Feb. 19-22.
  15. M. Eslami, H. Shareef, A. Mohamed. 2011. Power system stabilizer design based on optimization techniques. 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 19-21 April.
  16. H. Saadat. 1999. Power System Analysis, McGraw-Hill Inc.
  17. S. Skogested and I. Postlethwaite. 2005. Multivariable Feedback Control: Analysis and Design 2nd edition,John Wiley & Sons, Ltd.
Index Terms

Computer Science
Information Sciences


Linear quadratic Gaussian integral control alternating voltage regulator single machine steady state stability two-degree-offreedom.