JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Dynamic Embedded Optimization Applied to Power System Stabilizers
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Dynamic Embedded Optimization Applied to Power System Stabilizers
Sung, Byung Chul; Baek, Seung-Mook; Park, Jung-Wook;
  PDF(new window)
 Abstract
The systematic optimal tuning of power system stabilizers (PSSs) using the dynamic embedded optimization (DEO) technique is described in this paper. A hybrid system model which has the differential-algebraic-impulsive-switched (DAIS) structure is used as a tool for the DEO of PSSs. Two numerical optimization methods, which are the steepest descent and Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithms, are investigated to implement the DEO using the hybrid system model. As well as the gain and time constant of phase lead compensator, the output limits of PSSs with non-smooth nonlinearities are considered as the parameters to be optimized by the DEO. The simulation results show the effectiveness and robustness of the PSSs tuned by the proposed DEO technique on the IEEE 39 bus New England system to mitigate system damping.
 Keywords
BFGS;Dynamic embedded optimization;Hybrid system;Power system stabilizer;PSS output limits;System damping;
 Language
English
 Cited by
 References
1.
Ian A. Hiskens, Jung-Wook Park, and Vaibhav Donde, "Dynamic Embedded Optimization and Shooting Methods for Power System Performance Assessment", Chapter 9, pp. 179-199, in "Applied mathematics forderegulated electric power systems" edited by Joe H. Chow, Felix F. Wu, and James A. Momoh, Springer, 2005 (ISBN: 0-387-23470-5).

2.
P. Kundur, M. Klein, G. J. Rogers, and M. S. Zywno, "Application of Power System Stabilizers for Enhancement of Overall System Stability," IEEE Trans. on Power Systems, Vol. 4, No. 2, pp. 614-626, May 1989. crossref(new window)

3.
M. Klein, G. J. Rogers, S. Moorty, and P. Kundur, "Analytical Investigation of Factors Influencing Power System Stabilizers Performance", IEEE Trans. on Energy Conversion, Vol. 7, No. 3, pp. 382-388, September 1992. crossref(new window)

4.
N. Martins and L. T. G. Lima, "Determination of Suitable Locations for Power System Stabilizers and Static VAr Compensators for Damping Electro-mechanical Oscillations in Large Scale Power Systems", in Proc. of Power Industry Computer Application, pp. 74-82, May 1989.

5.
Prabha Kundur, "Power system stability and Control," EPRI Editors, McGraw-Hill, Inc. 1993, ISBN 0-07-035958-X.

6.
Seung-Mook Baek and Jung-Wook Park, "Hessian Matrix Estimation in Hybrid Systems Based on an Embedded FFNN", IEEE Transactions on Neural Networks, Vol. 21, No. 10, pp. 1533-1541, Oct. 2010. crossref(new window)

7.
Ian A. Hiskens, "Trajectory Sensitivity Analysis of Hybrid Systems", IEEE Trans. on Circuits and Systems-Part I: Fundamental Theory and Applications, Vol.47, No.2, pp. 204-220, February 2000. crossref(new window)

8.
J. Nocedal and S. J. Wright, Numerical Optimization, Springer-Verlag, New York, 1999.

9.
J. E. Dennis and Robert B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equations, SIAM, Philadelphia, 1996.

10.
M. S. Branicky, V. S. Borkar, and S. K. Mitter, "A unified framework for hybrid control: Model and optimal control theory", IEEE Trans. on Automat. Contr., Vol. 43, pp. 31-45, January 1998. crossref(new window)

11.
M. A. Pai, Energy Function Analysis for Power System Stability. Norwell, MA: Kluwer, 1989.

12.
P. W. Sauer and M. A. Pai, Power System Dynamics and Stability. Englewood Cliffs, NJ: Prentice-Hall, 1998.