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Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm

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dc.contributor.authorKasilingam G.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorKasirajan S.K.en_US
dc.contributor.authorNagarathinam A.en_US
dc.contributor.authorNatesan D.en_US
dc.contributor.authorid55812078500en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid53872094100en_US
dc.contributor.authorid56878749800en_US
dc.contributor.authorid57226055792en_US
dc.date.accessioned2023-05-29T09:35:56Z
dc.date.available2023-05-29T09:35:56Z
dc.date.issued2022
dc.description.abstractStudies on power system stability are necessary for power network development & operation. Due to the great dimensionality and complexity of contemporary power systems, its significance has increased. The stability of an interconnected power system is seriously threatened by power system oscillation. Numerous strategies based on contemporary control theory, intelligent control, and optimization methods have been applied to the Power system stabilizers (PSSs) design problem recently. Each categorization contains a number of design techniques that increase the PSS's effectiveness and sturdiness in damping off low frequency vibrations. This work presents a new Modified and Improved Biogeography-Based Optimization (MIBBO) method to increase the optimization effectiveness of the usual Biogeography-Based Optimization (BBO) technique applied for the optimization of the parameters of the PSSs & Proportional Integral Derivative (PID) controller under the non-linear loading (NLL) conditions. The performance parameters which are obtained by the MIBBO based controller are compared with the results of normal BBO Method, Particle Swarm Optimization method (PSO) and Adaptation Law (AL) method. To justify the success and correctness of the proposed control approach, Matlab simulation results-based study of all the above-mentioned techniques is made and reported. � 2022 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.52549/ijeei.v10i4.4269
dc.identifier.epage890
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85146191841
dc.identifier.spage879
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146191841&doi=10.52549%2fijeei.v10i4.4269&partnerID=40&md5=447b0759ead24c4a183b819742531457
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26624
dc.identifier.volume10
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Informatics
dc.titleOptimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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