Calculation of AVR parameters using neural network to enhance the power system stability

Abstract EN

In this paper a parameter optimization method using a neural network is suggested for finding the optimum control gains of a proportional deferential (PD) controller which it is used to control the excitation of the synchronous generator.

In this work one PD controller and three D controllers has been used which it is mean five gains to be found which it is a very hard work to find it manually.

The neural network has been used to automate the way in inding this gains which it was manually calculated until the desired plant output has been obtained.

The controller gains which it is manually calculated has been compared with that calculated with neural network with MATLAB program and the performance has been simulated and compared.