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article · International journal of engineering research in Africa

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

20254 citationsOpen accessChouaib Doukkali University

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.

Research topics

  • Photovoltaic System Optimization Techniques
  • Islanding Detection in Power Systems
  • Solar Radiation and Photovoltaics

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DOI: 10.4028/p-n9gkzc

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