Electrical Performance of CuInSe2 Solar Panels Using Ant Colony Optimization Algorithm

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Title	Electrical Performance of CuInSe2 Solar Panels Using Ant Colony Optimization Algorithm
Authors	Zaidi, B. Belghit, S. Shekhar, C. Mekhalfa, M. Hadjoudja, B. Chouial, B.
ORCID
Keywords	electricity production CIS cells ant colony optimization photovoltaic module
Type	Article
Date of Issue	2018
URI	http://essuir.sumdu.edu.ua/handle/123456789/71572
Publisher	Sumy State University
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Citation	Electrical Performance of CuInSe2 Solar Panels Using Ant Colony Optimization Algorithm / B. Zaidi, S. Belghit, C. Shekhar [et al.] // Журнал нано- та електронної фізики. - 2018. - Т.10, № 5. - 05045. - DOI: 10.21272/jnep.10(5).05045
Abstract	Electricity is an essential factor of economic development for all the countries. In recent years the share of renewable energy in electricity production is growing significantly all over the world. Among these solar energy plays a vital role in the production of power. In this work an Ant Colony Optimization (ACO) technique is proposed which successfully tracks the global peak and thereby improving the performance of PV array. The suggested work is realized in MATLAB/Simulink and simulation results of ACO.
Appears in Collections:	Журнал нано- та електронної фізики (Journal of nano- and electronic physics)