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

Electric 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; Controllers

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Bibliographic Details
Main Authors: Alzaareer K., Al-Shetwi A.Q., El-Bayeh C.Z., Taha M.B.
Other Authors: 57207994245
Format: Article
Published: International Information and Engineering Technology Association 2023
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spelling my.uniten.dspace-257442023-05-29T16:13:41Z Automatic generation control of multi-area interconnected power systems using ANN controller Alzaareer K. Al-Shetwi A.Q. El-Bayeh C.Z. Taha M.B. 57207994245 57004922700 35178935100 57211643789 Electric 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; Controllers Load 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. Final 2023-05-29T08:13:41Z 2023-05-29T08:13:41Z 2020 Article 10.18280/ria.340101 2-s2.0-85082883808 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082883808&doi=10.18280%2fria.340101&partnerID=40&md5=d846427da7b25b82bbfd94c081929232 https://irepository.uniten.edu.my/handle/123456789/25744 34 1 1 10 All Open Access, Bronze International Information and Engineering Technology Association Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Electric 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; Controllers
author2 57207994245
author_facet 57207994245
Alzaareer K.
Al-Shetwi A.Q.
El-Bayeh C.Z.
Taha M.B.
format Article
author Alzaareer K.
Al-Shetwi A.Q.
El-Bayeh C.Z.
Taha M.B.
spellingShingle Alzaareer K.
Al-Shetwi A.Q.
El-Bayeh C.Z.
Taha M.B.
Automatic generation control of multi-area interconnected power systems using ANN controller
author_sort Alzaareer K.
title Automatic generation control of multi-area interconnected power systems using ANN controller
title_short Automatic generation control of multi-area interconnected power systems using ANN controller
title_full Automatic generation control of multi-area interconnected power systems using ANN controller
title_fullStr Automatic generation control of multi-area interconnected power systems using ANN controller
title_full_unstemmed Automatic generation control of multi-area interconnected power systems using ANN controller
title_sort automatic generation control of multi-area interconnected power systems using ann controller
publisher International Information and Engineering Technology Association
publishDate 2023
_version_ 1806428232228012032
score 13.214268

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