Performance Analysis of LFC of Two Area System Using Intelligent Controllers

The main aim of LFC in a power system is to maintain the system frequency at its scheduled value during normal period and whenever there is a change in load demand. Larger frequency deviation for change in load will lead to system collapse. Thus a fast and accurate controller is required to maintain the system at nominal frequency. Various Intelligent Controllers are employed for performing LFC in a power system for obtaining better dynamic performance. This paper represents the analysis of Load Frequency Control of Two Area Thermal-Thermal System using Intelligent Controllers like Fuzzy Logic Controller (FLC), Artificial Neural Network (ANN) and Adaptive Neuro- Fuzzy Inference System (ANFIS).. The performances of the controllers are examined for 2GW rated control areas interconnected by tie-lines for a step load change of 0.1p.u. Change in frequency and settling time is observed for various controllers using MATLAB SIMULINK. The results obtained shows that ANN gives faster dynamic performance than other controllers.