ICGST- ACSE Journal

ACSE Volume (8) - Issue (II) ICGST

Optimization of Power System Stabilizers Relying on Particle Swarm Optimizers

* A. Jeevanandham ** K.Thanushkodi
* Research Scholar, Anna University, Chennai, India
** Principal, Coimbatore Institute of Engineering and Information Technology, Coimbatore, India

Abstract

A classical lead-lag power system stabilizer is used for demonstration in this paper. Initially single first-order phase compensation block is considered. The stabilizer parameters are selected in such a manner to damp the rotor oscillations. The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigen value based objective function and it is proposed to employ simulated annealing and particle swarm optimization for solving optimization problem. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigen values in the left hand side of the complex s-plane. The effectiveness of the stabilizer tuned using the best technique, in enhancing the stability of power system. The performance of the system is analyzed by using both the techniques.  Stability is confirmed through eigen value analysis and simulation results and suitable heuristic technique will be selected for the best performance of the system.

 Keywords: Rotor oscillations, Power system stability, Robust control, Simulated Annealing, Particle swarm optimization.

(P1110822001, 580 KB)

@ARTICLE{F1110822001,

AUTHOR = {A. Jeevanandham and K.Thanushkodi},

TITLE = {Optimization of Power System Stabilizers Relying on Particle Swarm Optimizers},

JOURNAL = {ICGST International Journal on Automatic Control and Systems Engineering, ACSE},

YEAR = {2008},

VOLUME = {08},

ISSUE = {II},

PAGES={7--14}

}

(P1110822001, 580 KB)