Abstract—The swarm intelligence techniques have invited interest of researchers in recent years. Present work is the effort to investigate all the aspects of biologically inspired algorithm with multilayer Swarm optimization .Multi layer swarm optimization Algorithm exhibits its ability to solve the optimization and design problem. Design of Power System stabilizer (PSS) for modern power system has its importance for improving the stability of the system.
The work presented in this paper is related with the design of PSS parameters with help of swarm intelligence technique. Hybrid Particle Swarm Optimization (HPSO) method is used and applied to find the parameters for PSS at Single machine infinite bus system. System performance is judged with the Particle swarm optimization and Algorithm tuned PSS for different cases of loading conditions. The system is tested for light medium and heavy loading. The efficacy of the stabilizer is tested on a single machine infinite bus bar system.
Index Terms—Particle Swarm Optimization, PSS, Small signal stability, Single Machine infinite bus system, Hybrid Particle swarm optimization, Hierarchical structure poly-particle swarm optimization.
Author is Research Scholar from Department of Electrical Engineering, Malviya National Institute of Technology, Jaipur, Rajasthan, India. (e-mail: aakash.saxena@hotmail.com)
.Author is Associate Professor with Malviya National Institute of Technology. Jaipur, Rajasthan, India. (e-mail: vgupta@mnit.ac.in).
[PDF]
Cite: Akash Saxena and Vikas Gupta, "A Hybrid Particle Swarm Optimization Approach for Design Power System Stabilizer,"
International Journal of Engineering and Technology vol. 2, no. 6, pp. 524-528, 2010.
