ADALINE generalized integrator based control to mitigate the power quality issues in grid connected solar PV systems

This paper presents a control strategy for a grid-connected solar photovoltaic (PV) system that effectively addresses power quality issues arising from various grid conditions and load types. The proposed controller integrates an ADAptive LInear NEuron (ADALINE) and a Sixth-Order Generalized Integrator-Frequency Locked Loop (SiOGI-FLL) to enhance system performance under non-linear loads, unbalanced loads, and fluctuating solar PV generation. The system is tested under multiple challenging grid voltage scenarios, including unbalanced grid voltage, grid voltage with harmonics, and grid voltage with DC offset conditions. The ADALINE-based control mechanism accurately detects and compensates for harmonics, while the SiOGI-FLL ensures precise extraction of the positive sequence component of the grid voltage. Simulation results demonstrate that the proposed controller effectively mitigates power quality issues, ensuring improved power factor, reduced total harmonic distortion, and stable grid operation, thus making it a robust solution for modern grid-connected PV systems.