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Automatic generation control of multi-area interconnected power systems using ANN controller

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dc.citedby4
dc.contributor.authorAlzaareer K.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorEl-Bayeh C.Z.en_US
dc.contributor.authorTaha M.B.en_US
dc.contributor.authorid57207994245en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid35178935100en_US
dc.contributor.authorid57211643789en_US
dc.date.accessioned2023-05-29T08:13:41Z
dc.date.available2023-05-29T08:13:41Z
dc.date.issued2020
dc.descriptionElectric load flow; Electric power system interconnection; Neural networks; Three term control systems; Area control error; Artificial neural network controllers; Automatic generation control; MATLAB /simulink; PI Controller; PID controllers; Tie line; Controllersen_US
dc.description.abstractLoad as well as power flow in tie-line are continuously varying in interconnection power systems. This paper presents an efficient method based on artificial intelligence control for automatic generation control (AGC) of a three-area power network. The control method implements Artificial Neural Network (ANN) to damp the frequency deviation and the fluctuation in the tie line power caused by load disturbances. The performance of the proposed controller is compared with classical control methods (PI and PID). The results showed that ANN-based control method is more efficient than others approaches. In this paper, MATLAB/SIMULINK package is used to investigate the results. � 2020 Lavoisier. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.18280/ria.340101
dc.identifier.epage10
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85082883808
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85082883808&doi=10.18280%2fria.340101&partnerID=40&md5=d846427da7b25b82bbfd94c081929232
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25744
dc.identifier.volume34
dc.publisherInternational Information and Engineering Technology Associationen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleRevue d'Intelligence Artificielle
dc.titleAutomatic generation control of multi-area interconnected power systems using ANN controlleren_US
dc.typeArticleen_US
dspace.entity.typePublication
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