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Artificial Intelligent Based Damping Controller Optimization for the Multi-Machine Power System: A Review

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dc.citedby48
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorIslam N.N.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorLipu M.S.H.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorRashid M.M.en_US
dc.contributor.authorShareef H.en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid56119162900en_US
dc.contributor.authorid57195440511en_US
dc.contributor.authorid36518949700en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid55420033000en_US
dc.contributor.authorid57189691198en_US
dc.date.accessioned2023-05-29T06:51:33Z
dc.date.available2023-05-29T06:51:33Z
dc.date.issued2018
dc.descriptionControllers; Damping; Electric power systems; Flexible AC transmission systems; Linear programming; Optimization; Oscillators (electronic); Rotors; System stability; Damping controllers; Flexible alternating current transmission systems; Objective functions; oscillations; Power system stability; Power system stabilizer (PSS); Stability analysis; Electric power system controlen_US
dc.description.abstractPower system oscillation is a major threat to the stability of an interconnected power system. The safe operation of a modern power system is largely related to the success of oscillation damping. However, damping controller development is a constraint-based multimodal optimization problem, which is relatively difficult to resolve utilizing conventional optimization algorithms. This paper presents a critical examination of different damping schemes and a stability analysis of a damping controller to solve these existing problems and enhance the performance of a multi-machine power system. This paper also describes different approaches used to derive the objective function formulation. Consequently, a comprehensive review of the optimized objective functions and techniques is explained on the basis of their topologies, types, execution times, control difficulties, efficiencies, advantages, and disadvantages to develop intelligent damping controllers for the systems. Furthermore, the optimization strategies for the damping controller are reviewed along with the benefits and limitations, current issues and challenges, and recommendations. All the highlighted insights of this paper will hopefully lead to increasing efforts toward the development of an advanced optimized damping controller for future high-tech multi-machine power systems. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6287639
dc.identifier.doi10.1109/ACCESS.2018.2855681
dc.identifier.epage39594
dc.identifier.scopus2-s2.0-85049959476
dc.identifier.spage39574
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049959476&doi=10.1109%2fACCESS.2018.2855681&partnerID=40&md5=62a43d47d501005869c55e001747ff3e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23755
dc.identifier.volume6
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleArtificial Intelligent Based Damping Controller Optimization for the Multi-Machine Power System: A Reviewen_US
dc.typeArticleen_US
dspace.entity.typePublication
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