Abstract
This paper aims to search for a high-performance low-cost standalone photovoltaic water pumping system (PVWPS) based on a three-phase induction motor (IM). In order to control the IM, a fuzzy direct torque control (FDTC) is proposed in this paper for overcoming the limitations of the conventional direct torque control (CDTC). In fact, the CDTC suffers from several problems such as torque ripples, current distortion, and switching frequency variations. These problems can be solved with the proposed FDTC. To ensure high performance of the PVWPS, the reference torque is generated using a fuzzy speed controller (FSC) instead of a conventional proportional integral speed controller. In order to extract the maximum amount of power, the proposed maximum power point tracking controller is based on variable step size perturb and observe to surmount the weakness of the conventional perturb and observe technique. The performance of the proposed FDTC based on the FSC under variable climatic conditions is demonstrated by digital simulation using Matlab/Simulink. The obtained results show the effectiveness of the suggested FDTC based on the FSC compared with the CDTC in terms of pumped water, reduction in flux and torque ripple, diminution of losses, and decrease in the stator current harmonic.
Highlights
In recent years, photovoltaic (PV) energy has become widely used in different applications, in pumping systems [1]
To drive the induction motor (IM) coupled with a centrifugal pump, the direct torque control (DTC) is applied
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Summary
Photovoltaic (PV) energy has become widely used in different applications, in pumping systems [1]. Standalone PV pumping systems in rural areas are recommended since connecting to the grid where electricity is unavailable can be expensive and difficult [2,3]. Despite the efficiency of the PV array, reaching 15–16% [7], the amount of power generated is continuously influenced by the atmospheric conditions such as solar radiation and temperature [1,8]. Because of nonlinear I-V and P-V curves, the generated PV power is influenced by the nature of the load [8]. To surmount these weaknesses, maximum power point tracking (MPPT) techniques have been introduced to ensure optimal utilization of the PV array whatever the external conditions
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