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Artificial Intelligence Based MPPT Algorithm for Grid Connected Solar PV System
The document outlines a project focused on developing an artificial intelligence-based maximum power point tracking (MPPT) algorithm for grid-connected solar photovoltaic systems. It compares various MPPT techniques, including Perturb and Observe (P&O), Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and fuzzy logic, highlighting the advantages of the ANFIS technique, particularly in terms of efficiency and output stability under varying conditions. Ultimately, ANFIS is deemed superior due to its superior analysis power and capability to deliver more reliable and consistent energy output.
