Application of adaptive fuzzy logic controller to improve photovoltaic pumping system performances
Abstract
This research presents an optimization for a photovoltaic pumping system with an adaptive fuzzy logic controller (AFLC). This maximization power point tracking (MPPT) approach is compared with the traditional control Perturb &Observ (P&O) to demonstrate its efficiency. After a sizing study, an application is made under two different days, to satisfy water consumption in Bejaia city. Different models can be used in photovoltaic-pumping system. In our case, we apply a model where the electrical power input of the motor-pump is directly function of the water flow output for various total heads. A simulation study under MATLAB/Simulink has been made using P&O and AFLC approaches. The outcomes demonstrate that applying the AFLC method, particularly for low changes of solar irradiation, improves the system pumping performance. Thus, the amount of power extracted is more and consequently the volume of the pumped flow has been rised. It is also noticed a gain in pumping time. The different results show the superiority of AFLC approach in terms of power, water flow and speed.
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URN: https://sloi.org/urn:sl:tjoee73243
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