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Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 39 - Number 7 |
| Year of Publication: 2012 |
| Authors: Ashik Ahmed, B. M. Ruhul Amin |
10.5120/4834-7092
|
Ashik Ahmed, B. M. Ruhul Amin . Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm. International Journal of Computer Applications. 39, 7 ( February 2012), 28-34. DOI=10.5120/4834-7092
Abstract
In this paper, an evolutionary algorithm-Invasive Weed Optimization (IWO) based power system stabilizer (PSS) is proposed for multi-machine power system. IWO is a derivative-free real parameter optimization technique that mimics the ecological behavior of colonizing weeds. Owing to its superior performance in comparison with many other existing meta-heuristics, it has used to search for optimal settings of PSS parameters. Eigen-value based objective function is considered to enhance system damping of electromechanical mode. The performance of proposed IWO-based PSS is tested and demonstrated under different loading conditions and disturbances for a four machine example power system. The Eigen value analysis and non-linear simulation results prove the effectiveness of the proposed IWO-based PSS design. The robustness of the design method is confirmed by testing the IWO based PSS performance under varying load conditions.
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