Control quality assessment of fuzzy logic controller based static VAR compensator (SVC)

Fuzzy logic control became the most applicable advanced control technique that used worldwide to control many electric devices. The study presents a new design of fuzzy logic controller (FLC) with triangular membership function and centroid defuzzification method to control the SVC thyristor firing angel. The static (SVC) provides damping signal to electromechanical modes of oscillation and regulate the voltages of the power systems. The proposed scheme is validated using sample single machine connected to infinite bus power system equipped with (SVC). A full nonlinear model of the studied system is developed and analysed. The total stability and control quality assessment of the studied power system has been derived and simulated. The time simulations, and studied system performance index have been investigated for the studied system to indicate the effect of the proposed SVC based on the proposed FLC on damping power systems oscillations and improve the post fault performance. Rung-Kutta modified by Gill is employed to solve the set of the nonlinear differential equations, and the iterative prediction-error minimization method used to identify the effect of change in studied system operation conditions on the system stability. The Mat lab software is used to solve and simulate the studied system equations. The simulation results show that the proposed SVC based FLC provide better control quality, damping oscillations very fast with low overshoot and undershoot and provides better post fault dynamic performance.