Adaptive neuro-fuzzy based load frequency controller for three area inter-connected hydro-thermal power system

Abstract

This paper presents an intelligent load frequency control approach for a power system with three thermal-thermal-hydro control areas using ANFIS technique. The merit of this controlling technique is that it is faster than the conventional controllers. Also the maximum overshoot and the settling time of ANFIS based controller are lesser when compared to the conventional controllers, thereby reducing the oscillations locally and of inter-area. This effectiveness of the proposed controller in improving the dynamic response is shown and validated in three area inter-connected system. Areas1 & 2 comprises of thermal reheat plants and area 3 comprises of hydro power plant. Comparison in performances of PID control technique, Fuzzy based controller and ANFIS control approach is carried out in MATLAB/SIMULINK package. The results validates that the ANFIS based controller is faster than the conventional controller and have improved dynamic response.