61 International Journal for Modern Trends in Science and Technology Volume: 2 | Issue: 05 | May 2016 | ISSN: 2455-3778 IJMTST Adaptive Neuro Fuzzy Controller Based Power System Stabilizer for Damping of Power Oscillation Control in Two Area Four Machine Power System Shubi Sharda 1 | Mr. Geoffrey Eappen 2 1 M.Tech Scholar, Department of ECE, MATS University Raipur, Chhattisgarh, India 2 Assistant Professor, Department of ECE, MATS University Raipur, Chhattisgarh, India Maximum power transfer and optimal power flow is desired which is affected by the inter area oscillation of low frequency .To avoid low frequency inter area power oscillations power system stabilizer is added to the automatic voltage regulators on the generators. Stabilizer provides the means to damp these low frequency power oscillations .Different types of stabilizers are available to damp power oscillations still a power system stabilizers can be developed to effectively damp low frequency power oscillations. Without increasing the system complexity these oscillations can be reduced with the help of developing power system stabilizer to damp the low frequency inter area power oscillations. Adaptive Neuro Fuzzy Interface system (ANFIS) is designed to achieve fast and effective power oscillation damping in two area four machine power system. This work is implemented with MATLAB simulink 2012(b). Also comparative analysis of low frequency power oscillation damping of ANFIS controller based stabilizer and conventional PID power system stabilizer is presented in this paper. Comparison of results show that low frequency inter area power oscillation damping of ANFIS controller based stabilizer is much higher than PID power system stabilizer. Also damping time provided by ANFIS controller based power system stabilizer is 75% less in comparison to PID power system stabilizer . KEYWORDS: Keyword 1, Keyword 2, Keyword 3, Keyword 4, Keyword 5PID Controller, Power System Stabilizer, Adaptive Neuro Fuzzy Interface System Controller Copyright © 2015 International Journal for Modern Trends in Science and Technology All rights reserved. I. INTRODUCTION System events when coupled with a poorly damped electric power system causes Inter area power oscillations. Large systems with group of generating lines which are connected by weak tie lines consists of oscillations . Group of generators on one side of tie lines oscillating against groups of generators on the other side consists of low frequency modes ranging from 0.1Hz to 0.8Hz.Sub-optimal power flow and ineffective operation of grid are caused by undesirable low frequency oscillations. Therefore it is important to stabilize these low frequency oscillations. The dynamic stability of power systems can be increased by the help of power system stabilizer which damps out the low frequency oscillations. Due to non-linearity of power systems, exact mathematical model of system is difficult to obtain. Optimum damping to the system oscillations under wide variety in system conditions and parameters can be provided by fuzzy logic based PSS ,adaptive self tuning artificial neural network. More effective optimization technique should be utilized to take full advantage in simplifying the problems and its implementations [1-5]. This paper presents the effective and fast damping of inter area power oscillation and improved dynamic stability of interconnected power systems by designing of an ANFIS controller for damping low frequency power oscillations in two area four machine system. disturbances has received much attention. A. Four Machines Two Area Test System In MATLAB 2012(b) test system is available consisting of two (fully) symmetrical areas which are linked together by two tie line 230KV lines of ABSTRACT