Design and Implementation of Fuzzy Logic Control Strategy for PV-Battery Microgrid

To address the needs of isolated off-grid DC loads, an effective energy management approach is required for a microgrid integrated with renewable energy sources. This research presents a voltage and current controller strategy based on fuzzy logic for a battery storage system integrated with a photovoltaic (PV) system, aiming to enhance energy management. The battery's power flow is controlled via a bidirectional buck-boost converter through a fuzzy logic controller. Energy management based on fuzzy logic is proposed, utilizing only three membership functions for the voltage and current control technique. Optimizing the duty cycle of a DC-DC boost converter is the key to achieving maximum power point tracking (MPPT) using the Perturb and Observe (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{P} \&amp; \mathbf{O}$</tex>) method. Using a changing <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{P V}$</tex> irradiation profile, the energy management system is substantiated in a MATLAB model.