Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems
Fevzi Çakmak (),
Zafer Aydoğmuş and
Mehmet Rıda Tür
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Fevzi Çakmak: Midyat Vocational School, Mardin Artuklu University, Mardin 47500, Turkey
Zafer Aydoğmuş: Faculty of Technology, Electrical and Electronics Engineering, Firat University, Elazığ 23000, Turkey
Mehmet Rıda Tür: Faculty of Engineering, Electrical and Electronics Engineering, Batman University, Batman 72000, Turkey
Energies, 2025, vol. 18, issue 2, 1-22
Abstract:
This manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. In order to achieve this goal, maximum power generation should be provided from photovoltaic panels. Several maximum power point tracking (MPPT) methods are utilized for maximum power generation in photovoltaic panel systems under different weather conditions. In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. The proposed fuzzy logic controller algorithm and the incremental conductivity maximum power point tracking algorithm were simulated in a MATLAB(2018b version)/Simulink environment and evaluated by comparing the results. Four Sharp ND-F4Q295 solar panels, two in series and two in parallel, were used for the simulation. In this study, the voltage ripple of the proposed hybrid method was measured at 1% compared to the classical incremental conductivity method, while it was 8.6% in the IncCon method. Similarly, the current ripple was 1.08% in the proposed hybrid FLC method, while the current ripple was 9.27% in the IncCon method. It is observed that the proposed smart method stabilizes the system voltage faster, at 25 ms, in the event of sudden weather changes.
Keywords: boost converter; fuzzy logic algorithm; incremental conductivity algorithm; maximum power point trackers; photovoltaic systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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