Robust Control of PV Micro-Grids under Dynamic Conditions Using an Improved Nonlinear Fuzzy Logic Approach

Abstract

This study proposes a Modified Nonlinear Fuzzy Logic Controller (MNLC) as an advanced solution to improve load stability in photovoltaic (PV) micro-grid systems under challenging operational scenarios. Extensive simulations conducted in MATLAB Simulink benchmark the MNLC against the conventional Proportional-Integral (PI) controller under various disturbances such as high loading, symmetrical and asymmetrical faults, irradiance variability, and partial power shedding. Results reveal that the MNLC consistently outperforms the conventional controller by ensuring faster stabilization, minimizing transient oscillations, and optimizing solar energy harvesting. These findings underscore the MNLC's potential for enhancing the resilience and efficiency of PV-based distributed generation systems.