NARMA-L2 Controller for Five-Area Load Frequency Control

This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. In this paper an Artificial Neural Network (ANN) based controller is presented for the Automatic Generation Control (AGC) of a five area interconnected power system. The proposed control has been designed for a five-area interconnected power system using artificial neural network (ANN) controller, which controls the inputs of each area in the power system together. The controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm. The working of the controllers is simulated using MATLAB/SIMULINK package.