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Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm

by Ashik Ahmed, B. M. Ruhul Amin
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

@article{ 10.5120/4834-7092,
author = { Ashik Ahmed, B. M. Ruhul Amin },
title = { Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 7 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number7/4834-7092/ },
doi = { 10.5120/4834-7092 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:50.996698+05:30
%A Ashik Ahmed
%A B. M. Ruhul Amin
%T Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 7
%P 28-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

PSS design Invasive Weed Optimization Dynamic stability