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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Abdelkrim Mammeri
Research Unit in Renewable Energies in the Saharan Medium URER/MS-Adrar, CDER
Control & Systems Engineering Electrical & Electronics Engineering

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A Neural Network Based MPPT Technique Controller for Photovoltaic Pumping System Mohammed Yaichi; Mohammed-Karim Fellah; Abdelkrim Mammeri
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The article proposes a novel method using the artificial neural network (ANN) for the improvement of the performances of a photovoltaic system composed of a photovoltaic (PV) array, an inverter, a motor asynchronous and a centrifugal pump. For this type of system, different optimization strategies have been proposed to improve the over of the PV system efficiency, i.e. the PV generator is forced to operate at its maximum power point “MPPT”, generally, by the insertion of DC/DC boost converter between the photovoltaic array and the inverter. In this work we propose an approach, where optimization is realized without need adding a DC/DC converter to the chain, using field-oriented control through the monitoring of the voltage-fed inverter frequency. The motor is also ensured in all insolation conditions. A multilayer feed forward perception type NN is proposed for MPPT control, and the back-propagation algorithm is used for training. The performances of the drive with ANN-based MPPT are excellent. The maximum power point (MPP) can be easily obtained to frequency-controlled drive.DOI: http://dx.doi.org/10.11591/ijpeds.v4i2.5875
Co-Authors Mohammed Yaichi Mohammed-Karim Fellah