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
fDate :
June 29 2015-July 3 2015
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;
Conference_Titel :
Micro/Nanotechnologies and Electron Devices (EDM), 2015 16th International Conference of Young Specialists on
Conference_Location :
Erlagol
Print_ISBN :
978-1-4673-6718-9
DOI :
10.1109/EDM.2015.7184569
