Melhaoui, Mustapha, Rhiat, Mohammed, Oukili, Mohammed, Atmane, Ilias, Hirech, Kamal, Bossoufi, Badre, Almalki, Mishari Metab, Alghamdi, Thamer A. H. and Alenezi, Mohammed
2025.
Hybrid fuzzy logic approach for enhanced MPPT control in PV systems.
Scientific Reports
15
(1)
, 19235.
10.1038/s41598-025-03154-w
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Abstract
This paper provides an in-depth analysis of photovoltaic (PV) system control within the MATLAB/Simulink environment, focusing on optimizing Maximum Power Point Tracking (MPPT) algorithms for enhanced efficiency under dynamic conditions. While conventional algorithms are widely used, their performance is limited under fluctuating conditions. To address this, we propose a novel hybrid approach combining Incremental Conductance with Fuzzy Logic Control (FLC), utilizing two innovative input variables: the sum of Conductance and Incremental Conductance (SInC) and its rate of change (CSI). The performance of the proposed algorithm, in comparison to other hybrid FLC methods, is evaluated through simulations using a boost converter under dynamic conditions, including abrupt irradiance changes and load variations. The results demonstrate that the proposed hybrid algorithm achieves superior performance, with an average MPPT efficiency of 97.7%, a convergence time of 53.5 ms, and an RMS of 97.8%, outperforming both conventional and other hybrid techniques. This work advances PV system control by providing a robust and adaptive solution for maximizing power extraction under diverse operating conditions.
| Item Type: | Article |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Schools > Engineering |
| Publisher: | Nature Research |
| ISSN: | 2045-2322 |
| Date of First Compliant Deposit: | 2 June 2025 |
| Date of Acceptance: | 19 May 2025 |
| Last Modified: | 12 Jun 2025 11:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/178644 |
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