Paper Info
Title
An Innovative Bio Inspired PSO Algorithm to Enhance Power System Oscillations Damping
Abstract
In Modern Interconnected Power systems, Power System Stabilizers(PSS) are widely used to damp the Low Frequency Inertial Oscillations experienced in the System. In this paper, an innovative Particle Swarm Optimization (PSO) Algorithm is applied to compute the Optimal value of PSS parameters to enhance Power System Stability. The design problem is formulated as an Eigen value based Optimization problem and the PSS parameters are optimized to shift the system electromechanical modes of oscillations at different loading conditions to the left in the complex s- plane for stability. To show the robustness of the proposed controller, Non linear simulations have been carried out under various operating conditions of the system operation. The Novel feature of this paper is the Computation of Eigen values, its analysis and comparative study of the system model between Conventional Lead lag stabilizer and the PSO based PSS.
Year
DOI
Venue
2009
10.1109/ARTCom.2009.213
Kottayam, Kerala
Keywords
Field
DocType
power system stability,innovative bio,system model,system operation,pso algorithm,modern interconnected power system,enhance power system oscillations,pss parameter,optimization problem,optimal value,system electromechanical mode,power system stabilizers,eigen value,stability analysis,eigen values,power system,damping,oscillations,system modeling,operant conditioning,low frequency,robust control,oscillators,particle swarm optimization
Particle swarm optimization,Control theory,Nonlinear system,Control theory,Computer science,Electric power system,Robustness (computer science),Lead–lag compensator,Robust control,Optimization problem
Conference
ISBN
Citations 
PageRank 
978-0-7695-3845-7
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Shivakumar, R.100.68
Lakshmipathi R232.40