Optimization of the Power Output of the Photovoltaic System through MPPT Algorithm

Authors

  • Abdulgader E Elsaghier 1Department of Electrical and Electronics Engineering, Civil Aviation College Misurata, Libya , Author
  • Hamza E Hebrisha 2, Ahmed E Esmaio 3, Ali A Elabbadi 4 Department of Electrical and Electronics Engineering, The College of Technical Sciences، Misurata, Libya , Author

Keywords:

MATLAB, P&O Maximum Power Point Tracking (MPPT), Photovoltaic..

Abstract

Renewable energy from the sun is the energy that the sun radiates as light, which is subsequently used by people in a variety of ways, including photovoltaic cells. An endless supply of energy, like solar energy, is free since it is not owned by anyone. Under certain conditions, Maximum Power Point Tracking (MPPT) can be utilized to extract the maximum output that can be obtained from solar cells while also being linked into charge control systems. The specific input used in photovoltaic modules that has the capacity to produce the highest output power is known as the maximum power point, or highest voltage. Maximum power varies with the solar energy parameter that determines the photovoltaic (PV) module's necessary temperature.          

 MATLAB/SIMULINK is utilized to develop a Maximum Power Point Tracking (MPPT) strategy based on perturb and observe (P&O) method, which allows for the efficient operation of the photovoltaic system while accounting for the swift fluctuations in climatic circumstances. Based on simulation results, it was found that the point of operation oscillates around the maximum power point, as well as these oscillations are proportional to changes in incident illumination.

Downloads

Download data is not yet available.

References

[1] Mustapha Hatti, Advanced Computational Techniques for Renewable Energy Systems. Springer Nature, 2023.

[2] D. Craddock, Renewable energy made easy: free energy from solar, wind, hydropower, and other alternative energy sources. Ocala, Fla.: Atlantic Pub. Group, 2008.

[3] M. Z. Jacobson, 100% Clean, Renewable Energy And Storage For Everything. Cambridge: Cambridge University Press, 2021.

[4] A. Al-Ahmed, Inamuddin, F. A. Al-Sulaiman, and F. Khan, The Effects of Dust and Heat on Photovoltaic Modules. Cham: Springer International Publishing AG, 2021.

[5] L. L. Grigsby, Electric Power Generation, Transmission, and Distribution, Third Edition. Crc Press, 2016.

[6] M. A. Sanz-Bobi, Use, Operation and Maintenance of Renewable Energy Systems Experiences and Future Approaches. Cham Springer International Publishing, 2014.

[7] D. Xiao, B. Chen, X. Fu, Z. Li, C. Wei, and D. Lu, Control, operation and trading strategies of intermittent renewable energy in smart grids. Frontiers Media SA, 2023.

[8] A. Keyhani, Design of smart power grid renewable energy systems. Hoboken, NJ: Wiley, 2020.

[9] Nabil Derbel and Q. Zhu, Modeling, Identification and Control Methods in Renewable Energy Systems. Springer, 2018.

[10] Asian Development Bank, Handbook for Rooftop Solar Development in Asia. Asian Development Bank, 2015.

[11] E. Ramshaw, Power Electronics Semiconductor Switches. Springer Science & Business Media, 2013.

[12] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems. CRC Press, 2017.

[13] Vasilis Fthenakis, Third Generation Photovoltaics. BoD – Books on Demand, 2012.

[14] Management Association, Information Resources, Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications. IGI Global, 2016.

[15] Deutsche Gesellschaft Fur Sonnenenergie Dgs, Planning and Installing Solar Thermal Systems. Routledge, 2013.

[16] P. Bertoldi, Energy Efficiency in Motor Systems : proceedings of the 11th International Conference EEMODS’19. Cham: Springer, 2021.

[17] J. A. Momoh, Electric Power Distribution, Automation, Protection, and Control. CRC Press, 2007.

[18] Abdul Hai Alami, PV Technology and Manufacturing. Springer Nature, 2023.

[19] T. P. Trappenberg, Fundamentals of computational neuroscience. Oxford; Toronto: Oxford University Press, 2010.

[20] G. Reiter, P. Horsch, and G. C. Psaltakis, Dynamics of Magnetic Fluctuations in High-Temperature Superconductors. Springer Science & Business Media, 2012.

[21] Chetan Singh Solanki, Solar photovoltaic technology and systems: a manual for technicians, trainers and engineers. Delhi Phi Learning Private Limited, 2014.

[22] J. Casillas, O. Cordón, Francisco Herrera Triguero, and L. Magdalena, Accuracy Improvements in Linguistic Fuzzy Modeling. Springer, 2013.

[23] F. Dehne, Jörg Rüdiger Sack, and M. Smid, Algorithms and Data Structures. Springer, 2003.

[24] A. Vollert, A Stochastic Control Framework for Real Options in Strategic Evaluation. Springer Science & Business Media, 2012.

[25] F. Aminzadeh, Cenk Temizel, and Yasin Hajizadeh, Artificial Intelligence and Data Analytics for Energy Exploration and Production. John Wiley & Sons, 2022.

[26] Masumi Ishikawa and Iconip (14, 2007, Kita-Kyūshū, Neural information processing: 14th international conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007 ; revised selected papers. 1, Part I. Berlin: Springer, 2008.

[27] S. A. Kalogirou, Solar energy engineering: processes and systems. Amsterdam: Elsevier/Academic Press, 2014.

[28] A. Ramsay and T. Ahmad, Machine Learning for Emotion Analysis in Python. Packt Publishing Ltd, 2023.

[29] Mustapha Hatti and Springerlink (Online Service, Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities: Case Study: Tipasa, Algeria. Cham: Springer International Publishing, Imprint Springer, 2022.

[30] Igor Vintizenko, Linear Induction Accelerators for High-Power Microwave Devices. CRC Press, 2018.

[31] W. Xiao, Photovoltaic power system: modelling, design, and control. Hoboken, Nj: John Wiley & Sons Ltd, 2017.

[32] Herbert Ho-Ching Iu and Abdelali El Aroudi, Control and Nonlinear Dynamics on Energy Conversion Systems. MDPI, 2019.

[33] M. Tsubota, Progress in low temperature physics. Vol. XVI: quantum turbulence. Oxford: Elsevier Science, 2009.

[34] G. Spagnuolo and M. Ricco, Methods, Algorithms and Circuits for Photovoltaic Systems Diagnosis and Control. MDPI, 2021.

[35] D. V. Hoyt and K. H. Schatten, The Role of the Sun in Climate Change. Oxford University Press, 1997.

[36] A. V. Skorokhod, F. C. Hoppensteadt, and H. D. Salehi, Random Perturbation Methods with Applications in Science and Engineering. Springer Science & Business Media, 2007.

[37] Monica Goigel Turner, Landscape heterogeneity and disturbance. New York, Ny: Springer New York, 1987.

[38] K. Kant, Microprocessors and microcontrollers:architecture, programming and system design 8085, 8086, 8051, 8096. Delhi: Phi Learning, 2014.

[39] M. A. Brdys and Piotr Tatjewski, Iterative Algorithms for Multilayer Optimizing Control. Imperial College Press, 2005.

[40] Saad Motahhir and A. M. Eltamaly, Advanced Technologies for Solar Photovoltaics Energy Systems. Springer Nature, 2021.

Downloads

Published

2025-11-09

How to Cite

Optimization of the Power Output of the Photovoltaic System through MPPT Algorithm. (2025). Comprehensive Journal of Science, 9(36), 12-22. https://cjos.histr.edu.ly/index.php/journal/article/view/267