Modeling and optimization of photovoltaic cells with GA algorithm

Reza Alayi, Hossein Harasii, Hamed Pourderogar

Abstract


In this research, the modeling and analysis of the solar tracking system were carried out to obtain the optimal angle in photovoltaic systems for generating maximum power using genetic algorithm (GA). In this paper, the control system is proposed by the GA genetic algorithm that optimizes the output energy of the PV system by adjusting the spatial angles of the solar panel in both vertical and horizontal axes. In this method, without the need for additional hardware, the optimal panel position angles are calculated by using the Matlab software to capture the most sun and maximize output energy. The main advantage is that the system operates discretely during operation and losses are reduced, as well as in the clouds, solar radiation is received and the output energy rises. The important results of this study can be the system is optimized, the output power of the photovoltaic system in a fixed array mode increases by 15.85%.


Keywords


Genetic Algorithm, Solar Panel positioning, Optimization, MPPT.

Full Text:

PDF

References


- Alayi, R., Kasaeian, A., & Atabi, F. (2019). Thermal analysis of parabolic trough concentration photovoltaic/thermal system for using in buildings. Environmental Progress & Sustainable Energy, 38(6), 13220. ‏

- Alayi, R., Kasaeian, A., & Atabi, F. (2019). Optical modeling and optimization of parabolic trough Concertation Photovoltaic Thermal system. Environmental Progress & Sustainable Energy. ‏ 39(2), e13303.

- Alayi, R., Kasaeian, A., Najafi, A. and Jamali, E. (2019), "Optimization and evaluation of a wind, solar and fuel cell hybrid system in supplying electricity to a remote district in national grid", International Journal of Energy Sector Management, 14(2), 408-418.

- Ebrahimi, S., Jahangiri, M., Raiesi, H. A., & Ariae, A. R. (2019). Optimal planning of on-grid hybrid microgrid for remote Island Using HOMER software, Kish in Iran. International Journal of Energy, 3(2), 13-21. ‏

- Saravanan, S., & Babu, N. R. (2016). Maximum power point tracking algorithms for photovoltaic system–A review. Renewable and Sustainable Energy Reviews, 57, 192-204. ‏

- Zadeh, M. J. Z., & Fathi, S. H. (2017). A new approach for photovoltaic arrays modeling and maximum power point estimation in real operating conditions. IEEE Transactions on Industrial Electronics, 64(12), 9334-9343. ‏

- De Brito, M. A., Junior, L. G., Sampaio, L. P., e Melo, G. A., & Canesin, C. A. (2011, September). Main maximum power point tracking strategies intended for photovoltaics. In XI Brazilian Power Electronics Conference (pp. 524-530). IEEE. ‏

- Soetedjo, A., Lomi, A., Nakhoda, Y. I., & Krismanto, A. U. (2012). Modeling of maximum power point tracking controller for solar power system. Telkomnika, 10(3). ‏

- Khanjari, Y., Kasaeian, A., Pourfayaz, F., & Alayi, R. (2016). Perormance evaluation of liquid-cooled photovoltaic system using numerical method. Advances in Science and Technology Research Journal, 10(32), 184-192. ‏

- Patel, H., & Agarwal, V. (2008). MATLAB-based modeling to study the effects of partial shading on PV array characteristics. IEEE transactions on energy conversion, 23(1), 302-310. ‏

- Kasaeian, A., Shamel, A., & Alayi, R. (2015). Simulation and economic optimization of wind turbines and photovoltaic hybrid system with storage battery and hydrogen tank (case study the city of Yazd). Journal of Current Research in Science, 3(5), 105.

- Pourderogar, H., Harasii, H., Alayi, R., Delbari, S., Sadeghzadeh, M., Javaherbakhsh, A. (2020). Modeling and Technical Analysis of Solar Tracking System to Find Optimal Angle for Maximum Power Generation using MOPSO Algorithm. Renewable Energy Research and Application, 1(2), 211-222.

- Kalbasi, R., Jahangiri, M., Nariman, A., & Yari, M. (2019). Optimal Design and Parametric Assessment of Grid-Connected Solar Power Plants in Iran, a Review. Journal of Solar Energy Research, 4(2), 142-162.

- Fathabadi, H. (2016). Novel high accurate sensorless dual-axis solar tracking system controlled by maximum power point tracking unit of photovoltaic systems. Applied Energy, 173, 448-459.

- Eldin, S. S., Abd-Elhady, M. S., & Kandil, H. A. (2016). Feasibility of solar tracking systems for PV panels in hot and cold regions. Renewable Energy, 85, 228-233. ‏

- Sidek, M. H. M., Azis, N., Hasan, W. Z. W., Ab Kadir, M. Z. A., Shafie, S., & Radzi, M. A. M. (2017). Automated positioning dual-axis solar tracking system with precision elevation and azimuth angle control. Energy, 124, 160-170. ‏

- Sumathi, V., Jayapragash, R., Bakshi, A., & Akella, P. K. (2017). Solar tracking methods to maximize PV system output–A review of the methods adopted in recent decade. Renewable and Sustainable Energy Reviews, 74, 130-138. ‏

- Obara, S. Y., Matsumura, K., Aizawa, S., Kobayashi, H., Hamada, Y., & Suda, T. (2017). Development of a solar tracking system of a nonelectric power source by using a metal hydride actuator. Solar Energy, 158, 1016-1025. ‏

- Carballo, J. A., Bonilla, J., Roca, L., & Berenguel, M. (2018). New low-cost solar tracking system based on open source hardware for educational purposes. Solar Energy, 174, 826-836. ‏

- Su, Y., Zhang, Y., & Shu, L. (2018). Experimental study of using phase change material cooling in a solar tracking concentrated photovoltaic-thermal system. Solar Energy, 159, 777-785. ‏

- Safan, Y. M., Shaaban, S., & El-Sebah, M. I. A. (2018). Performance evaluation of a multi-degree of freedom hybrid controlled dual axis solar tracking system. Solar Energy, 170, 576-585. ‏

- Omran, A. H., Abid, Y. M., Ahmed, A. S., Kadhim, H., & Jwad, R. (2018). Maximizing the power of solar cells by using intelligent solar tracking system based on FPGA. In 2018 Advances in Science and Engineering Technology International Conferences (ASET) (pp. 1-5). IEEE. ‏

- Hua, C. C., Fang, Y. H., & Wong, C. J. (2018). Improved solar system with maximum power point tracking. IET Renewable Power Generation, 12(7), 806-814. ‏

- Hafez, A. Z., Yousef, A. M., & Harag, N. M. (2018). Solar tracking systems: Technologies and trackers drive types–A review. Renewable and Sustainable Energy Reviews, 91, 754-782. ‏

- Peng, L., Zheng, S., Chai, X., & Li, L. (2018). A novel tangent error maximum power point tracking algorithm for photovoltaic system under fast multi-changing solar irradiances. Applied energy, 210, 303-316. ‏

- Hong, Y. Y., Beltran Jr, A. A., & Paglinawan, A. C. (2018). A robust design of maximum power point tracking using Taguchi method for stand-alone PV system. Applied energy, 211, 50-63. ‏

- Dali, A., Diaf, S., & Tadjine, M. (2019). Maximum Power Tracking and Current Control for Solar Photovoltaic System Applications, Hybrid Dynamical System Approach. Journal of Dynamic Systems, Measurement, and Control, 141(9), 091017. ‏

- Pahlavan, S., Jahangiri, M., Shamsabadi, A. A., & Baharizadeh, A. (2020). Assessing the Current Status of Renewable Energies and Their Limitations in Iran. International Journal of Renewable Energy Development, 9(1).‏

- Khalili, H., Arash, A., & Alayi, R. (2015). Simulation and economical optimization hybrid system PV and grid in Ardabil city. Journal of Current Research in Science, 3(5), 83.‏

- Alayi, R., Shamel, A., Kasaeian, A., Harasii, H., & Topchlar, M. A. (2016). The role of biogas to sustainable development (aspects environmental, security and economic). Journal of Chemical and Pharmaceutical Research, 8(4), 112-118.‏




DOI: https://doi.org/10.18196/jrc.2149

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Journal of Robotics and Control (JRC)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 


Journal of Robotics and Control (JRC)

P-ISSN: 2715-5056 || E-ISSN: 2715-5072
Organized by Peneliti Teknologi Teknik Indonesia
Published by Universitas Muhammadiyah Yogyakarta in collaboration with Peneliti Teknologi Teknik Indonesia, Indonesia and the Department of Electrical Engineering
Website: http://journal.umy.ac.id/index.php/jrc
Email: jrcofumy@gmail.com


Kuliah Teknik Elektro Terbaik