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Comparative Analysis of P&O and Fuzzy Logic MPPT Techniques for Photovoltaic Systems under Standard and Partial Shading Conditions Using DC-DC Converters

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Abstract:

Under both typical and partial shading conditions, this research seeks to assess how two maximum power point tracking (MPPT) solutions, Perturb and Observe (P&O) and fuzzy logic control (FLC), help maximize power extraction from a photovoltaic (PV) system. Applying MATLAB SIMULINK, a DC-DC converter and a PV generator were simulated to run these MPPT systems. The comparison focuses on the extracted power, the performance of each technique, and their ability to follow the global maximum power point (MPP). The simulation findings show that in standard and partial shading conditions, both P&O and fuzzy logic algorithms can effectively track the MPP. The fuzzy logic controller, however, turned out to be more accurate and efficient (≥98% efficiency vs. P&O's 97%) with minimal power oscillation, while the P&O algorithm had a faster response time.

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International Journal of Engineering Research in Africa Vol. 75 View Preview

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Periodical:

International Journal of Engineering Research in Africa (Volume 75)

Pages:

159-173

DOI:

https://doi.org/10.4028/p-n9GKZC

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Online since:

October 2025

Authors:

Fatima Id Ouissaaden, Said Dlimi*, Hamza Kamel, Aoutoul Mohssin, Khoukh Abdelaziz

Keywords:

DC-DC Converter, Fuzzy Logic Control, MPPT, Observe, Partial Shading, Perturb, Photovoltaic Systems

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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