SRF theory-based shunt active power filter for power quality improvement in grid-interfaced solar photovoltaic system

Abstract

This paper uses Shunt Active Power Filter (SAPF) in a polluted and unbalanced mains voltage for the compensation of current harmonics along with the reactive power. During compensation the reference current is calculated by the theory of Synchronous Reference Frame (SRF). This study utilizes the Photovoltaic (PV) energy, a renewable energy source, for which a maximum power point tracking (MPPT) method, an incremental conductance (InCnd), is employed. To modify the energy storage of dc-voltage, an artificial neural network controller (ANN) is used. The power system toolbox of MATLAB/SIMULINK is used to simulate the system being proposed. The SAPF is compared and assessed on the basis of PI control, FUZZY controller, and Artificial Neural Network (ANN). The results demonstrate the ANN control’s efficiency in optimizing the DC capacitor energy storage, sinusoidal form of the current, and reactive power compensation. A low Total Harmonic Distortion (THD) will be achieved with the proposed system which shows the efficacy of the method presented.