A REAL TIME SIMULATION OF A CONTROLLER FOR SYNCHRONOUS GENERATOR EXCITATION USING ARTIFICIAL NEURAL NETWORK TRAINED BY GENETIC ALGORITHM (RT-LAB BENCHMARK)

Abstract

This paper presents A New Methodology for Controlling excitation voltage of a synchronous generator Using Intelligent Controller. This controller depends on Genetic Neural Networks Using Single Phase Semi-converter, To investigate the Effectiveness of the Proposed Controller on the excitation of the synchronous generator, It Was Compared with AC1A Excitation System, The Proposed Controller Processes the angular velocity signal and the terminal voltage signal of the synchronous generator  in order to control voltage fed to the excitation circuit of the synchronous generator itself, Finally the model was applied on real time simulator in order to ensure the validity of the results.