Advanced Harmonic Mitigation in PV-Driven Grid through ANN-Controlled Universal Active Power Filter and Modified SEPIC Converter

Due to climatic changes and nonlinear loads, integrating solar Photovoltaic (PV) systems into electric grid presents difficulties in deteriorating power quality. In order to maximize the use of Renewable Energy Sources (RES) and improve Power Quality (PQ), this research proposes a unified control technique for a PV integrated Universal Active Power Filter (PV-UAPF). The proposed approach integrates fuzzy logic based MPPT for optimal energy extraction from the PV array and a modified SEPIC converter for efficient voltage boosting. Additionally, Shunt and Series Active Power Filters (ShAPF and SeAPF) operate as optimal sinusoidal voltage and current sources, guided by accurate reference signals generated using an Artificial Neural Network (ANN). This setup lowers the power demand on utility grid while successfully mitigating load imbalances, harmonics, and voltage sags and swells. By integrating clean energy and sophisticated control, the proposed system provides a reduced Total Harmonic Distortion (THD) of 1.04% overcoming traditional approaches. Through MATLAB/Simulink simulations, the PV-UAPF’s performance is verified across a range of scenarios, demonstrating its resilience and efficiency in improving power quality.