Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer

The low-frequency electromechanical oscillations (LFEOs) in electric power system are because of weaker interties, uncertainties, various faults and disturbances. These LFEOs (0.2–3 Hz) less magnitude responsible for lower transfer, increased losses also threaten the stability system. An adaptive interval type-2 fuzzy sliding mode controlled stabilizer (AIT2FSMC-PSS) is presented to neutralize enhance under uncertainties external AIT2FSMC a hybridization logic (T2FLS) with conventional SMC chattering effect, robustness reaching phase improve system’s performance. Here, T2FLS used estimating unknown functions SMC. A robust surface keep desired plane remain stable disturbance conditions. modified control law proposed selecting parameters Lyapunov synthesis make error asymptotically converging zero. effectiveness AIT2FSMC-PSS accessed single multimachine systems subjected Again, comparison performance indices (PIs), eigenvalues, damping ratios, oscillating frequencies, integral time absolute (ITAE), figure demerit (FD) frequency domain plots like Bode, root locus Nyquist analysed access efficacy stabilizer. simulated responses, comparative study confirm supremacy suppressing lesser settling characteristics, offer assure transient as compared other stabilizers.