Load frequency control of four-area hydro-thermal inter-connected power system through ANFIS based hybrid neuro-fuzzy approach

Abstract

This paper presents an ANFIS based intelligent load frequency control approach for a hybrid power system with four thermal-hydro control areas. The merit of the proposed controlling technique is that it is faster than the automatic conventional control techniques and is able to handle the non-linearities simultaneously. 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 four area inter-connected system. Thermal control areas (1 and 2) have reheat turbines and areas 3 and 4 comprises hydro-power plants. Comparison in performances of PI, PID control technique and ANFIS control approach is carried out in MATLAB/SIMULINK software. The results validates that the ANFIS based intelligent controller is faster than the conventional controller and have improved dynamic response.