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Abstract
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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. Kassé and G. Sissoko
Corresponding Author: A. Ndiaye
Submitted: February 27, 2013
Accepted: March 27, 2013
Published: February 15, 2014 |
Abstract:
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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.
Key words: Modeling, MPPT, neural network controller, proportional integral controller, single-phase inverter, ,
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Cite this Reference:
A. Ndiaye, L. Thiaw, G. Sow, S.S. Fall, M. Thiam, M. Kassé and G. Sissoko, . Design of a Neural Controller for Single Phase Inverter in Grid Connected Photovoltaic System. Research Journal of Applied Sciences, Engineering and Technology, (6): 1149-1155.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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