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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.
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
License
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)

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