Robust Generalized Modified Blake–Zisserman and Adaptive Vectorial Filter-Based Control Architecture for Enhanced Performance of a Grid-Tied PV System

To enhance the grid power quality (PQ) during nonideal grid conditions in a grid-tied photovoltaic system (GTPVS), this article focuses on developing a control architecture using an adaptive vectorial filter (AVF) and robust generalized modified Blake–Zisserman adaptive filter (GMBZAF) that addresses the issues of nonideal grid voltages, current harmonics, unbalanced loading, and solar irradiance variation by inculcating the multifunctional capabilities into GTPVS to deliver balanced sinusoidal currents with the unity power factor at the grid side and achieve effective power management among PV system, utility grid, and local loads coupled to point of common coupling (PCC) while capturing maximum PV power. The AVF is employed to filter the grid-distorted voltages for the extraction of fundamental frequency components of voltages, while the GMBZAF is employed to filter the distorted load current for the estimation of peak magnitudes of the fundamental component of load current at a faster dynamic response with least magnitude of oscillations. During zero PV power generation, the voltage source converter (VSC), together with the dc-link capacitor, operates as a distribution static compensator (DSTATCOM) to enhance the utilization of the system. The GTPVS ensures total harmonic distortion (THD) of the grid current as specified by IEEE 519-2022 standard. The GTPVS, together with the proposed control architecture, is developed in MATLAB/Simulink, and its performance is validated on a prototype developed in the laboratory. Further, comparative analysis in terms of the cost function, computational complexity, and the quantitative comparison in terms of the magnitude of oscillations, settling time, mean square deviation (MSD), computational time, and error metrics approach is provided to assess the adaptability of the proposed control architecture over other control architectures.