Adaptive Neuro Fuzzy Controller Based Power System Stabilizer for Damping of Power Oscillation Control in Two Area Four Machine Power SystemJournal: International Journal for Modern Trends in Science and Technology (IJMTST) (Vol.2, No. 5)
Publication Date: 2016-05-09
Authors : Shubi Sharda; Geoffrey Eappen;
Page : 61-65
Keywords : Volume: 2 | Issue: 05 | May 2016 | ISSN: 2455-3775;
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 .
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