Optimization of a Grid Connected Photovoltaic System using Fuzzy Logic Control


Solar Photovoltaic energy generating system is one of the auspicious renewable energy resources that use the ample energy from the sun with clean, inexhaustible and environment friendly cyclic operations. However, the intermittent nature of the output power of PV systems reduces their reliability in delivering continuous power to customers. In this work, we propose an efficient and precise technique using a fuzzy controller and simulated in MATLAB environment, for tracking maximum power point in PV system. The fuzzy Logic model results were compared with other methods such as Perturb and Observe (P&O) and Proportional Integral Differential (PID) for validation. The results show that the Fuzzy Logic Controller, an Artificial Intelligence technique under various conditions was able to track the peak power point under lesser time - it took the fuzzy model less than 0.4 secs to attain maximum power while the other controllers took more than 0.7 and 0.8 seconds respectively. It was also observed that the fuzzy logic controller showed greater stability when the maximum power point was attained than the other controller. Hence the fuzzy logic controller gave a better overall performance than other conventional controllers.
  1. I. Aminu and Z. B. Peterside, “The impact of privatization of power sector in Nigeria: a political economy approach,â€. Mediterranean Journal of Social Sciences, vol. 2, no. 3, pp.213-217, 2014.  |   Google Scholar
  2. E. Anwana and B. Akpan, “Power sector reforms and electricity supply growth in Nigeria,†Asian Journal of Economics and Empirical Research, vol. 3, no. 1, pp.94-102, 2016.  |   Google Scholar
  3. C. O. Ahiakwo, “Renewable energy for rural electrification to ameliorate climate change,†International Journal of Engineering Science and Technology, vol. 2, no. 1, pp.10-19, 2011.  |   Google Scholar
  4. O. Awogbemi and A. C. Komolafe, “Potential for sustainable renewable energy development in Nigeria,†Pacific Journal of Science and Technology, vol. 12, no. 1, pp.161-169, 2011.  |   Google Scholar
  5. X. Zou, L. Bian and Y. Zhai, “Design of on-line monitoring system for grid-connected photovoltaic power plants,â€. Nigerian Journal of Solar Energy, vol.303-306, pp.431-434.  |   Google Scholar
  6. N. Nordin and H. Rahman, “Pre-installation design simulation tool for grid-connected photovoltaic system using iterative methods,â€. Energy Procedia, vol. 68, pp.68-76, 2015.  |   Google Scholar
  7. S. Mei, M. Ngan and W. T. Chee, “A study of maximum power point tracking algorithms for stand-alone photovoltaic systems,†Institute of Electrical Electronic Engineers transaction on Applied Power Electronics Colloquium, vol. 28, no. 5, pp.567-670, 2011.  |   Google Scholar
  8. J. T. Oladeji, “Renewable energy as a sure solution to Nigeria’s perennial energy problem,†[Online]. Available†http://www.sciencepub.net/researcher. Retrieved April 24, 2017.  |   Google Scholar
  9. C. Wang, Y. Liu, X. Zhang and X. Yang, “Simulation design and benefit analysis of grid-connected photovoltaic system,†Journal of Energy, vol. 694, pp.169-172, 2014.  |   Google Scholar
  10. F. Caballero, E. Sauma and F. Yanine, “Business optimal design of a grid-connected hybrid Photovoltaic-wind energy system,â€. Journal of Energy, vol. 61, pp.248-261, 2013.  |   Google Scholar
  11. K. Arun, B. Verma, B. Singh and D.T. Shahani, “Fuzzy-logic based MPPT control of grid interfaced photovoltaic generating system with improved power quality. Institute of Electrical and Electronics Engineers, 2012.  |   Google Scholar
  12. K. B. Agyenim, “Progressive penetration of renewables in Ghana the challenges,â€. Proceedings of 2007 National Energy Symposium, Accra, Ghana.  |   Google Scholar
  13. J. H. Ausubel, “Renewable and nuclear heresies,†International Journal of Nuclear Governance, Economy and Ecology, vol.1, pp.229-235, 2007.  |   Google Scholar
  14. M. Chowdhury, “Dual-loop H controller design for a grid-connected single-phase photovoltaic system,†Solar Energy, vol. 139, pp.640-649, 2013.  |   Google Scholar
  15. M. Oseni, “An analysis of the power sector performance in Nigeria,†Renewable and Sustainable Energy Reviews, vol. 15, no. 9, pp.4765-4774, 2011.  |   Google Scholar
  16. W. Meng, L. Meng, and C. Chen, “Design and control scheme of three-phase photovoltaic grid-connected inverter,†Journal of Renewable Energy, pp.850-851, 2013.  |   Google Scholar
  17. G. Brando and R. Dannier, “Sensor less control of H-bridge multilevel converter for maximum power point tracking in grid connected photovoltaic systems,†International Conference on Clean Electrical Power, 16 July 2017. Capri, Italy.  |   Google Scholar
  18. A. S. Sambo, “Renewable energy electricity in Nigeria: the way forward,†ISESCO Science and Technology Vision, vol. 2, no.32-41, pp.235-243, 2006.  |   Google Scholar
  19. O. Walid, “Performance analysis of grid-connected photovoltaic systems. Philosophy of doctorate Thesis, Electrical and Computer Engineering, Ontario, Canada, 2010.  |   Google Scholar
  20. B. C. Ahmed, M. Kassas and E. S. Ahmed, “Photovoltaic standalone monitoring system performance using labview.†International Journal of Smart Grid and Clean Energy, vol. 3, no. 1, pp.235-252, 2013.  |   Google Scholar
  21. J. A. Andrew and A. G. William, “India’s energy climate dilemma: the pursuit for renewable energy guided by existing climate change policies,†Journal of Earth Science and Climate Change, ISSN: 2157-7612, 2016.  |   Google Scholar
  22. N. A. Ali, H. S. Mohamed, M. Z. Mostafa and T.M. Abdel-Moneim, “A survey of maximum power point tracking techniques of photovoltaic systems,†[On;ine].Available: http://academia.edu/7640080. Retrieved November 25, 2017.  |   Google Scholar
  23. Y. Wang, B. Zhang, C. Kai and Z. Shuai, “Design and application of medium/low-power stand-alone/grid-connected dual-mode inverter for solar photovoltaic system,â€. Journal of Energy, vol. 672-674, pp.131-134, 2014.  |   Google Scholar
  24. A. K. Verma, B. Singh, B. Shah and D. Shahani, “Grid interface solar photovoltaic power generating system with quality power improvement,â€. Third International Conference on Sustainable Energy, 24-27 September, 2012.  |   Google Scholar


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Idoniboyeobu, D.C., Orike, S. and Biragbara, P.B. 2017. Optimization of a Grid Connected Photovoltaic System using Fuzzy Logic Control. European Journal of Electrical Engineering and Computer Science. 1, 2 (Nov. 2017). DOI:https://doi.org/10.24018/ejece.2017.1.2.7.

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 Dikio C. Idoniboyeobu
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 Sunny Orike
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 Peace B. Biragbara
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