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Differential search algorithm in multi machine power system stabilizers for damping oscillations

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dc.contributor.authorIslam N.N.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorMohamed Z.en_US
dc.contributor.authorShareef H.en_US
dc.contributor.authorid56119162900en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57192249958en_US
dc.contributor.authorid57189691198en_US
dc.date.accessioned2023-05-29T06:11:19Z
dc.date.available2023-05-29T06:11:19Z
dc.date.issued2016
dc.description.abstractPower system oscillations, a major problem in power system, is suppressed employing power system stabilizers (PSSs). Proper optimization of PSSs is a complex design problem. In this paper, a bio-inspired metaheuristic optimization technique named as differential search algorithm (DSA) is presented to solve the optimization problem of multi machine PSSs. The optimization of PSSs is converted as a cost function then DSA is applied to tune the optimal parameters for PSSs by minimizing the cost function. PSSs are optimized in order to achieve adequate damping for local and inter-area modes of growing oscillations in a multi machine power system. Simulations are conducted in linear and non-linear models of power system to verify the robustness of proposed algorithm. A comprehensive investigation is conducted to compare the performance of DSA based PSSs with the tuned PSSs using bacterial foraging optimization algorithm (BFOA) and particle swarm optimization (PSO) in terms of convergence, improvements of electromechanical modes and system damping over oscillations. The obtained results show that the presented DSA technique is efficient for PSS optimization for the safety of multi machine power system. � 2005-2016 JATIT & LLS. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage359
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85002410828
dc.identifier.spage353
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85002410828&partnerID=40&md5=bfa46654da3caffc1270378c0b38645a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22611
dc.identifier.volume93
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleDifferential search algorithm in multi machine power system stabilizers for damping oscillationsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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