Excitation control of synchronous generator via neural network based controllers

Abstract EN

Modern power systems are complex and non-linear and their operating can vary over a wide range.

This paper presents a linear mathematical model of the synchronous generator to control the excitation system based on Neural Network to simulate an Automatic Voltage Regulator.

The voltage regulator is used to modify terminal voltage for the purpose of tracking a reference voltage and comparative with PID controller.

ANN (NARMA-L2) system is proposed as an effective controller model to achieve the desired enhancement.

This model after training can be called as (Identifier).The proposed technique is evaluated on a single machine infinite bus under different operating conditions (no-load and full load condition) by using MATLAB Simulink software.