Optimization and control of water pumping PV systems using fuzzy logic controller

Abstract : The aim of this work is to search for better control and optimization of a photovoltaic (PV) water pumping system (PWPS) using the induction motor. A proposed method based on Fuzzy Logic Control (FLC) is introduced and investigated to improve the conventional Direct Torque Control (DTC). Variable step size Perturb and observe (P&O) is used to extract the maximum possible power from the PV panel. The validation of the control strategy is ensured by reducing the high torque, stator flux ripples and current harmonics in induction machine and increasing pumped water flow. Simulation results of the DTC based on FLC are compared with those of the conventional DTC using MATLAB/SIMULINK. The comparison results show the effectiveness of the FLC controller in terms of torque and flux ripples reduction, and daily pumped water.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02216615
Contributor : Saad Motahhir <>
Submitted on : Wednesday, July 31, 2019 - 8:33:23 PM
Last modification on : Wednesday, July 31, 2019 - 8:43:36 PM

Links full text

Identifiers

Citation

Mustapha Errouha, Aziz Derouich, Saad Motahhir, Othmane Zamzoum, Najib El Ouanjli, et al.. Optimization and control of water pumping PV systems using fuzzy logic controller. Energy Reports, 2019, 5, pp.853-865. ⟨10.1016/j.egyr.2019.07.001⟩. ⟨hal-02216615⟩

Share

Metrics

Record views

14