EFFICIENT POWER OSCILLATION DAMPING CONTROL BY ADAPTIVE NEURO FUZZY CONTROLLER BASED POWER SYSTEM STABILIZER

Shubi Sharda, Geoffrey Eappen

Abstract: Low frequency Inter-area oscillations are undesirable which affects the goals of maximum power transfer and optimal power flow. Power system stabilizers can be added to the automatic voltage regulators on the generators to reduce the effect of low frequency inter area oscillation. Different types of power system stabilizers are developed to reduce low frequency inter area oscillations inter but the area is still open for the efficient power stabilizer, for handling the power oscillations without increasing the system controller complexity. This paper presents a way to improve the dynamic stability of interconnected power systems by damping of inter area oscillations in two area four machine power system by designing of Adaptive Neuro Fuzzy Inference System based controller. The implementation is done with the Simulink of MATLAB 2012(b).The obtained results shows that ANIFS-PSS is capable of damping power oscillations in multi area system

Keywords: Multi Area Machine System, Power Oscillation Damping, ANFIS Controller, Power System Stabilizer PSS

DOI: https://doi.org/10.15623/ijret.2016.0509015