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

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dc.citedby2
dc.contributor.authorNiamul Islam N.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorHussain S.en_US
dc.contributor.authorid56119162900en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57195440511en_US
dc.contributor.authorid57189691198en_US
dc.date.accessioned2023-05-29T06:11:21Z
dc.date.available2023-05-29T06:11:21Z
dc.date.issued2016
dc.description.abstractIn 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.en_US
dc.description.natureFinalen_US
dc.identifier.epage47
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84995543516
dc.identifier.spage41
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84995543516&partnerID=40&md5=a3d61c237a20e2819a5b901c0d1c5fa2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22617
dc.identifier.volume93
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleDamping power system oscillation using elitist differential search algorithm in multi machine power systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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