DocumentCode
3519908
Title
Neural network control algorithm for stand-alone solar cell electrical energy conversion system
Author
Belova, Irina A. ; Martinovich, Miroslav V.
Author_Institution
Novosibirsk State Tech. Univ., Novosibirsk, Russia
fYear
2015
fDate
June 29 2015-July 3 2015
Firstpage
387
Lastpage
390
Abstract
The results of the study to achieve maximum efficiency of the photovoltaic module using the maximum power tracking algorithm are presented. A fast and accurate tracking system using an artificial neural network is offered. Modelling carried out in the software package Matlab.
Keywords
maximum power point trackers; neurocontrollers; power system control; solar cells; artificial neural network control algorithm; maximum power tracking algorithm; stand-alone solar cell electrical energy conversion system; Algorithm design and analysis; Arrays; Artificial neural networks; Maximum power point trackers; Photovoltaic cells; Photovoltaic systems; Training; ANN; MPPT; Matlab; Solar cell;
fLanguage
English
Publisher
ieee
Conference_Titel
Micro/Nanotechnologies and Electron Devices (EDM), 2015 16th International Conference of Young Specialists on
Conference_Location
Erlagol
ISSN
2325-4173
Print_ISBN
978-1-4673-6718-9
Type
conf
DOI
10.1109/EDM.2015.7184569
Filename
7184569
Link To Document