Enhanced modular multi-level converter-based static synchronous compensator with social ski-driver optimized adaptive neuro-fuzzy inference system controller for power quality enhancement

The power consumed by heavy load creates unsymmetrical currents, which results in reduced power quality (PQ) in the electrical grid. The stimulating functions of the flexible AC transmission system estimate the critical clearing time, voltage regulation, steady-state power flow and oscillation damping control. This work uses a novel modular multi-level converter based on STATCOM for PQ enhancement in the transmission line. An adaptive neuro-fuzzy interface system controller is adopted with Social Ski-Driver algorithm that provides controlled voltage for minimizing voltage errors. Using the hysteresis current controller, the total harmonic distortion (THD) is significantly reduced, providing a switching signal to the STATCOM for injection and absorption of reactive power and the source voltages with reduced fault conditions. This work will be implemented in MATLAB/Simulink software, and the results will be compared in terms of voltage, current and THD with and without the presence of STATCOM under different fault conditions. The THD for current and voltage is 4.50 and 2.75% for a single line fault, while it is 10.28 and 7.94% for a double line fault. While a three-line fault occurs, the THD of both current and voltage is 14.89%.