An intelligent power factor corrector for power system using artificial neural networks

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dc.contributor.authorBayindir R.
dc.contributor.authorSagiroglu S.
dc.contributor.authorColak I.
dc.date.accessioned2024-07-22T08:22:05Z
dc.date.available2024-07-22T08:22:05Z
dc.date.issued2009
dc.description.abstractAn intelligent power factor correction approach based on artificial neural networks (ANN) is introduced. Four learning algorithms, backpropagation (BP), delta-bar-delta (DBD), extended delta-bar-delta (EDBD) and directed random search (DRS), were used to train the ANNs. The best test results obtained from the ANN compensators trained with the four learning algorithms were first achieved. The parameters belonging to each neural compensator obtained from an off-line training were then inserted into a microcontroller for on-line usage. The results have shown that the selected intelligent compensators developed in this work might overcome the problems occurred in the literature providing accurate, simple and low-cost solution for compensation. © 2008 Elsevier B.V. All rights reserved.
dc.identifier.DOI-ID10.1016/j.epsr.2008.05.009
dc.identifier.issn03787796
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/18916
dc.language.isoEnglish
dc.subjectAC generator motors
dc.subjectBackpropagation
dc.subjectBackpropagation algorithms
dc.subjectElectric fault location
dc.subjectElectric power factor
dc.subjectElectric power systems
dc.subjectLearning systems
dc.subjectMicrocontrollers
dc.subjectNetwork protocols
dc.subjectNeural networks
dc.subjectReconnaissance aircraft
dc.subjectSensor networks
dc.subjectSynchronous motors
dc.subjectVegetation
dc.subjectAccurate
dc.subjectArtificial neural network
dc.subjectArtificial neural networks
dc.subjectCost solutions
dc.subjectIntelligent
dc.subjectIntelligent powers
dc.subjectMicrocontroller
dc.subjectOn-line
dc.subjectPower factor correction
dc.subjectPower systems
dc.subjectRandom searches
dc.subjectTest results
dc.subjectLearning algorithms
dc.titleAn intelligent power factor corrector for power system using artificial neural networks
dc.typeArticle

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