Electrical Performance of CuInSe2 Solar Panels Using Ant Colony Optimization Algorithm

Автор(ы) B. Zaidi1, S. Belghit1, C. Shekhar2, M. Mekhalfa3, B. Hadjoudja3, B. Chouial3
Принадлежность

1Department of Physics, Faculty of Material Sciences, University of Batna 1, Batna, Algeria

2Department of Applied Physics, Amity University Gurgaon, Haryana, India 122413

3Laboratory of Semiconductors, Department of Physics, Faculty of Sciences, University of Badji-Mokhtar, Annaba, Algeria

Е-mail zbeddiaf@gmail.com
Выпуск Том 10, Год 2018, Номер 5
Даты Получено 15.08.2018; в отредактированной форме 24.10.2018; опубликовано online 29.10.2018
Ссылка B. Zaidi, S. Belghit, C. Shekhar, et al., J. Nano- Electron. Phys. 10 No 5, 05045 (2018)
DOI https://doi.org/10.21272/jnep.10(5).05045
PACS Number(s) 78.20.Bh, 81.05.Hd, 84.60.Jt
Ключевые слова Electricity production, CIS Cells, Ant Colony Optimization, Photovoltaic module.
Аннотация

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.

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