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Improved Fuzzy MPPT to Solve Partial Shading Conditions Problem in a Photovoltaic System

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This paper presents a hybrid maximum power point tracker for a photovoltaic (PV) system. The proposed technique combines between the advantage of fuzzy logic flexibility and the linearity of the β parameter method to override the problem of Partial Shading Conditions (PSC). The proposed approach can resolve the problem of PSC by tracking the Global Maximum Power Point (MPP) regardless of the shading conditions to which the PV system is submitted. For evaluating the presented technique, the Perturb and Observe command and a conventional FLC have been implemented too. Extended simulations with different meteorological conditions and scenarios of PSC are performed. The obtained results clearly show the superiority of the β-FLC tracker presented in terms of response time in the transient state and the steady-state error around MPP. The tracker presents also better effectiveness in the presence of PSC because it can reach up to 20.51% of the surplus of transmitted power compared to the other trackers presented.
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Beta Parameter Method; Fuzzy Logic Controller; Maximum Power Point Trackers; Partial Shading Conditions; Photovoltaic System

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