Publication: Automatic generation control of multi-area interconnected power systems using ANN controller
Date
2020
Authors
Alzaareer K.
Al-Shetwi A.Q.
El-Bayeh C.Z.
Taha M.B.
Journal Title
Journal ISSN
Volume Title
Publisher
International Information and Engineering Technology Association
Abstract
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.
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