The Fuzzy-based photovoltaic (PV) Maximum Power Point Tracking (MPPT) algorithm is a sophisticated approach for enhancing the efficiency and performance of solar photovoltaic systems. It uses fuzzy logic principles to dynamically track and maintain the optimal operating point related to PV panel, ensuring that the determined available power is extracted under varying environmental conditions. Unlike traditional MPPT techniques, the Fuzzy-based PV MPPT algorithm excels which adjusting to changing rapidly the weather surroundings and is more robust in partial shading scenarios. It employs linguistic variables and rule-based decision-making to continuously adjust the voltage which related to the current at which the PV panel operates. This enables the system to efficiently respond to factors such as cloud cover, shading, and temperature variations, optimizing energy production and reducing energy losses. The adaptability and robustness of the Fuzzy-based PV MPPT algorithm make it a valuable tool for harnessing renewable solar energy, contributing to sustainable power generation and reducing reliance on conventional energy sources. The Fuzzy-based MPPT algorithm presents a compelling solution to address the shortcomings of conventional MPPT controllers and increase 2. operational effectiveness of solar power systems. © 2025 Elsevier B.V., All rights reserved.