Design of a Load Frequency Controller based on Artificial Neural Network for Single-Area Power System

A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.

Automated summary

In this paper, a Load Frequency Controller based on an Artificial Neural Network (ANN) technique is designed for a single-area Power System Network (PSN). The proposed controller demonstrates better operation performance compared to a Proportional-Integral-Derivative (PID) controller in terms of transit state and deviation issues under different states of step-change loads.