Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/20716
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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.date.accessioned2021-07-27T03:55:38Z-
dc.date.available2021-07-27T03:55:38Z-
dc.date.issued2020-
dc.identifier.urihttp://dspace2020.uniten.edu.my:8080/handle/123456789/20716-
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.language.isoenen_US
dc.titleAutomatic generation control of multi-area interconnected power systems using ANN controlleren_US
dc.typearticleen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.grantfulltextreserved-
item.openairetypearticle-
item.cerifentitytypePublications-
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