Автори | B. Zaidi1 , S. Belghit1 , C. Shekhar2 , M. Mekhalfa3, B. Hadjoudja3, B. Chouial3 |
Афіліація |
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 |
Випуск | Том 10, Рік 2018, Номер 5 |
Дати | Одержано 15.08.2018; у відредагованій формі 24.10.2018; опубліковано online 29.10.2018 |
Цитування | 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 |
Ключові слова | Electricity production, CIS Cells, Ant Colony Optimization, Photovoltaic module. |
Анотація |
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. |
Перелік посилань |