Intelligent load frequency control approach for multi area interconnected hybrid power system

Abstract

This paper illustrates the implementation of intelligent control technique to design a standalone controllers based on fuzzy logic (FLC)) and artificial neural network (ANN) for load frequency control (LFC). The proposed controllers are developed with aim to minimize frequency deviation while reducing transient state time which are integrated in three area interconnected hybrid power system entailing non-reheat, re-heat and hydro power generating units. Performance of these controllers are evaluated from dynamic response obtained on MATLAB Simulink with 1% induced step load disturbances. The comparative analysis between the two controllers' shows that ANN based controller performing better than FL based controller. This type of LFC technique guarantees the steady state system stability which can be verified with the simulation result.