Simulation model for controlling of the photovoltaic water pumping system
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Abstract
The work aims to model a standalone photovoltaic-powered water pumping system (PVWPS) and implements the converter-controller based upon the maximum power point tracking (MPPT) technique. The MPPT-based fuzzy logic controllers with the Mamdani inference method using the triangular and Gaussian membership functions in the design are applied to improve the performance of the PVWPS. The parameters, including fuzzy rules of the MPPT-MFLC, are designed and adjusted by the expert. In the test, a 1 kW-PV generator and the centrifugal pump direct-driven by the permanent magnet DC motor, as load, interfaced with the buck converter are demonstrated through the simulations under weather variations at a constant head pumping. As a result, the proposed controllers provide 7.4% – 8% more energy utilization efficiency against the conventional tracking Perturb and Observe algorithm. Furthermore, they can increase the PV efficiency of up to 10%, and consequently, the overall system efficiency is maximized, including water discharge.
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References
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