Predictive Direct Power Control of Shunt Active Power Filter Associated to PV System and ANN-Backstepping MPPT

Abstract

An enhanced predictive direct power control of a three-phase shunt active power filter (SAPF) is required to eliminate power ripples with low current distortion and lower the maximum overshoot and undershoot of the DC-link voltage fluctuation in compliance with IEEE Std. 519–2014, solar energy is a very important renewable energy that can complete the increase of power demand and used it associated with SAPF; in this work, we propose an effective MPPT based on the combination of artificial neural network and non-linear control type backstepping, the total energy obtained from the PV system injected to the grid with predictive direct power control to eliminate the harmonics and inject the totality of energy generated, the system was implemented under MATLAB/Simulink to verify the efficacy and the robustness of the results.