Staff View: Damping power system oscillation using elitist differential search algorithm in multi machine power system

Damping power system oscillation using elitist differential search algorithm in multi machine power system

In this paper, damping power system oscillations is presented using the Elitist differential search algorithm (Elitist-DSA) in a multi-machine system. The tuning of power system stabilizers (PSSs) are presumed as the complex optimization problem for the security of power system. The linearized model...

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Main Authors:	Niamul Islam N., Hannan M.A., Mohamed A., Hussain S.
Other Authors:	56119162900
Format:	Article
Published:	Asian Research Publishing Network 2023
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id	my.uniten.dspace-22617
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spelling	my.uniten.dspace-226172023-05-29T14:11:21Z Damping power system oscillation using elitist differential search algorithm in multi machine power system Niamul Islam N. Hannan M.A. Mohamed A. Hussain S. 56119162900 7103014445 57195440511 57189691198 In this paper, damping power system oscillations is presented using the Elitist differential search algorithm (Elitist-DSA) in a multi-machine system. The tuning of power system stabilizers (PSSs) are presumed as the complex optimization problem for the security of power system. The linearized model of power system is transformed into a multimodal objective function and proposed algorithm is applied to search the best solution. Simulations are conducted in linear and non-linear models of power system to verify the robustness of proposed algorithm. Detailed comparative studies are conducted to compare the performance of Elitist-DSA based PSSs with the tuned PSSs using bacteria foraging optimization algorithm (BFOA) and particle swarm optimization (PSO) in terms of statistical analyses, improvement of eigenvalues and system damping over oscillations. The findings show the presented Elitist-DSA technique is far superior as compared to BFOA and PSO in terms of quality solution of multi-machine PSSs optimization. Thus, the proposed technique is efficient for the safety of multi-machine power system against unwanted power system oscillations. � 2005 - 2016 JATIT & LLS. All rights reserved. Final 2023-05-29T06:11:21Z 2023-05-29T06:11:21Z 2016 Article 2-s2.0-84995543516 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995543516&partnerID=40&md5=a3d61c237a20e2819a5b901c0d1c5fa2 https://irepository.uniten.edu.my/handle/123456789/22617 93 1 41 47 Asian Research Publishing Network Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	In this paper, damping power system oscillations is presented using the Elitist differential search algorithm (Elitist-DSA) in a multi-machine system. The tuning of power system stabilizers (PSSs) are presumed as the complex optimization problem for the security of power system. The linearized model of power system is transformed into a multimodal objective function and proposed algorithm is applied to search the best solution. Simulations are conducted in linear and non-linear models of power system to verify the robustness of proposed algorithm. Detailed comparative studies are conducted to compare the performance of Elitist-DSA based PSSs with the tuned PSSs using bacteria foraging optimization algorithm (BFOA) and particle swarm optimization (PSO) in terms of statistical analyses, improvement of eigenvalues and system damping over oscillations. The findings show the presented Elitist-DSA technique is far superior as compared to BFOA and PSO in terms of quality solution of multi-machine PSSs optimization. Thus, the proposed technique is efficient for the safety of multi-machine power system against unwanted power system oscillations. � 2005 - 2016 JATIT & LLS. All rights reserved.
author2	56119162900
author_facet	56119162900 Niamul Islam N. Hannan M.A. Mohamed A. Hussain S.
format	Article
author	Niamul Islam N. Hannan M.A. Mohamed A. Hussain S.
spellingShingle	Niamul Islam N. Hannan M.A. Mohamed A. Hussain S. Damping power system oscillation using elitist differential search algorithm in multi machine power system
author_sort	Niamul Islam N.
title	Damping power system oscillation using elitist differential search algorithm in multi machine power system
title_short	Damping power system oscillation using elitist differential search algorithm in multi machine power system
title_full	Damping power system oscillation using elitist differential search algorithm in multi machine power system
title_fullStr	Damping power system oscillation using elitist differential search algorithm in multi machine power system
title_full_unstemmed	Damping power system oscillation using elitist differential search algorithm in multi machine power system
title_sort	damping power system oscillation using elitist differential search algorithm in multi machine power system
publisher	Asian Research Publishing Network
publishDate	2023
_version_	1806428428552896512
score	13.211869

Damping power system oscillation using elitist differential search algorithm in multi machine power system

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