Maximum Power Extraction of PV Panel Adopting AI-MPPT Scheme in Standalone System

This paper presents a comprehensive exploration into maximizing the power extraction of photovoltaic (PV) panels through the implementation of a Fuzzy Logic Controller (F.L.C) based Artificial Intelligence (A.I) Maximum Power Point Tracking (AI-M.P.P.T) scheme. Traditional MPPT techniques often struggle to maintain optimal performance under dynamically changing environmental conditions. In response to this challenge, the proposed FLC-MPPT scheme utilizes fuzzy logic control principles to dynamically adjust the functioning point of the Photovoltaic (P.V) panel, effectively tracking the maximum power point (M.P.P) across varying irradiance levels. By integrating fuzzy inference rules and membership functions, the A.I-M.P.P.T controller ensures robust performance and adaptability in diverse operating scenarios. Simulation outcomes demonstrate the higher tracking accuracy and efficiency of the AI-MPPT scheme compared to conventional methods, highlighting its potential to enhance the energy yield of PV systems.