Publication:
BBO algorithm-based tuning of PID controller for speed control of synchronous machine

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dc.citedby9
dc.contributor.authorKasilingam G.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorid55812078500en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2023-05-29T06:13:46Z
dc.date.available2023-05-29T06:13:46Z
dc.date.issued2016
dc.descriptionAlgorithms; Circuit oscillations; Controllers; Ecology; Electric control equipment; Electric power system control; Heuristic algorithms; MATLAB; Optimization; Particle swarm optimization (PSO); Power control; Synchronous machinery; Three term control systems; Tuning; Two term control systems; Adaptation law; Biogeography-based optimization algorithms; Biogeographybased optimizations (BBO); Electromechanical oscilla-tions; PID controllers; Power System Stabilizer; Proportional integral derivative controllers; Single machine infinite bus system; Proportional control systemsen_US
dc.description.abstractA biogeography-based optimization (BBO) algorithm was used for tuning the parameters of a proportional integral derivative (PID) controller-based power system stabilizer (PSS). The proposed method minimizes the low frequency electromechanical oscillations (0.1-2.5 Hz) and enhances the stability of the power system by optimally tuning the PID parameters. This was achieved by minimizing the objective function of the integral square error for various disturbances. The performance of the BBO algorithm was tested on a single machine infinite bus system for a different range of operating conditions and the results were compared with particle swam optimization, adaptation law, and conventional PSS. The result analysis concluded that the BBO algorithm damps out the low frequency oscillations in the rotor of the synchronous machine effectively when compared to other methods. The algorithms were simulated with MATLAB/Simulink. The results from the simulation showed that the proposed controller yields a fast convergence rate and better dynamic performance. � 2016 T�bitak.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3906/elk-1501-46
dc.identifier.epage3285
dc.identifier.issue4
dc.identifier.scopus2-s2.0-84974698198
dc.identifier.spage3274
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84974698198&doi=10.3906%2felk-1501-46&partnerID=40&md5=5a6fbd5e42b72e34528f6e1d8fbc7679
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22963
dc.identifier.volume24
dc.publisherTurkiye Klinikleri Journal of Medical Sciencesen_US
dc.sourceScopus
dc.sourcetitleTurkish Journal of Electrical Engineering and Computer Sciences
dc.titleBBO algorithm-based tuning of PID controller for speed control of synchronous machineen_US
dc.typeArticleen_US
dspace.entity.typePublication
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