SAPF based on ANN-Second Order Generalized Integrator for Harmonic Absorption

Abstract

Abstract: The purpose of this study is to provide a photovoltaic (PV)-based generation system that is coupled with a shunt active power filter (SAPF) in order to effectively compensate for reactive power and mitigate harmonics. The Solar Active Power Filter is made up of a DC link capacitor, a voltage source inverter (VSI), and a solar production system. With the assistance of an active power filter, the current harmonics that are brought on by nonlinear loads are capable of being significantly decreased. The artificial neural network is presented as a solution for both the generation of the reference current and the regulation of SAPF. Calculating the reference source current for SAPF requires the use of the Second Order Generalized Integrator (SOGI), which is coupled with an Artificial Neural Network (ANN) controller. ANN is also notable for its high compatibility with digital implementation, control performance, and blazingly quick dynamic reaction times. The created controller is validated with the assistance of MATLAB simulations in order to demonstrate the efficacy and superior concert of the proposed methodology