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    Abstract
2014 (Vol. 7, Issue: 6)
Article Information:

Design of a Neural Controller for Single Phase Inverter in Grid Connected Photovoltaic System

A. Ndiaye, L. Thiaw, G. Sow, S.S. Fall, M. Thiam, M. Kassť and G. Sissoko
Corresponding Author:  A. Ndiaye 

Key words:  Modeling, MPPT, neural network controller, proportional integral controller, single-phase inverter, ,
Vol. 7 , (6): 1149-1155
Submitted Accepted Published
February 27, 2013 March 27, 2013 February 15, 2014
Abstract:

This study shows a neural network based control strategy of the current injected into a single-phase grid via an inverter. The inverter is supplied by a Photovoltaic Generator (PVG). The optimal control of PVG is ensured by an MPPT algorithm of type P and O (Perturbation-Observation). The synchronization of the inverter with the electrical grid is ensured by a Phase-Locked Loop (PLL) device. The sizing and the modeling of the system components have been presented. A Neural Network Controller (NNC) and a Proportional Integral (PI) controller have been implemented and compared. Obtained results show that the NNC have faster response and lower THD without overshoots.
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  Cite this Reference:
A. Ndiaye, L. Thiaw, G. Sow, S.S. Fall, M. Thiam, M. Kassť and G. Sissoko, 2014. Design of a Neural Controller for Single Phase Inverter in Grid Connected Photovoltaic System.  Research Journal of Applied Sciences, Engineering and Technology, 7(6): 1149-1155.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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