Electrical Performance of CuInSe2 Solar Panels Using Ant Colony Optimization Algorithm
| Authors | B. Zaidi1 , S. Belghit1 , C. Shekhar2 , M. Mekhalfa3, B. Hadjoudja3, B. Chouial3 |
| Affiliations |
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 |
| Issue | Volume 10, Year 2018, Number 5 |
| Dates | Received 15 August 2018; revised manuscript received 24 October 2018; published online 29 October 2018 |
| Citation | 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 |
| Keywords | Electricity production, CIS Cells, Ant Colony Optimization, Photovoltaic module. |
| Annotation |
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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List of References |
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