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AN EVALUATION OF PHOTOVOLTAIC SYSTEMS MPPT TECHNIQUES UNDER THE CHARACTERISTICS OF OPERATIONAL CONDITIONS

https://doi.org/10.21122/2309-4923-2017-2-30-38

Abstract

In this article an extended literature surveying review is launched on a set of comparative studies of maximum power point tracking (MPPT) techniques. Different MPPT methods are addressed with an ultimate aim of how to be maximizing the PV system output power by tracking Pmax in a set of different operational circumstances. In this paper maximum power point tracking, MPPT techniques are reviewed on basis of different parameters related to the design simplicity and/or complexity, implementation, hardware required, and other related aspects.

he technology of solar systems has been booming for a while due to its ability to replace current fossil fuels like coal and gas for generation of electricity that produce air, water, and land pollution. In addition it decreased the issue of global warming and climate changes substantially due to being produced in a clean environmental manner and was proved to be an Eco-friendly resource of energy. The photovoltaic systems’ manufacturing process has been improving continuously over the last decade and photovoltaic systems have become an interesting solution. Precisely, PV systems are constituted from arrays of photovoltaic cells, choppers (mainly buck-boost or boost DC/DC converter), MPPT control systems and storage devices and/or grid connections. To improve the efficiency of such systems, various studies have been performed. The demand of PV generation systems seems to be increased for both standalone and grid-connected modes of PV systems. Therefore, an efficient maximum power point tracking (MPPT) technique is necessary to initialize the process of tracking the maximum power point MPP at all environmental conditions and then force the PV system to operate at that MPP point.

About the Authors

I. A. Elzein
Belarusian National Technical University
Belarus


Yu. N. Petrenko
Belarusian National Technical University
Belarus


References

1. Vol. 3, No.6, June 2008, pp. 446–455.

2. D. P. Hohm and M. E. Ropp. «Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed», Proc. Photovoltaic Specialist Conference, 2000, pp. 1699–1702.

3. T. Esram, J. W. Kimball, P. T. Krein, P. L. Chapman, P. Midya. «Dynamic maximum power point tracking of photovoltaic arrays using ripple correlation control,» IEEE Trans. Power Electron., vol. 21, no. 5, pp. 1282–1291, Sep. 2006.

4. J.-A. Jiang, T.-L. Huang, Y.-T. Hsiao, C.-H. Chen. «Maximum power tracking for photovoltaic power systems» Tamkang J. Sci. Eng., vol. 8, no. 2, pp. 147–153, 2005.

5. Mutoh N., Ohno M., Inoue T. A method for MPPT control while Searching for parameters corresponding to weather conditions for PV generation systems. Indus Elect IEEE Transact. 2006; pp. 1055–1065. http://dx.doi.org/10.1109/TIE.2006.878328.

6. Chen QDAJ. Improving the efficiency of solar photovoltaic power generation in several important ways. In International Technology and Innovation Conference 2009; (ITIC2009). pp. 1–3.

7. Djamila Rekioua. EM. Optimization of Photovoltaic Power Systems. 1st ed textbook copy. London: Springer 2012. ISBN: 978-1-4471-2348-4 (Print) 978-1-4471-2403-0 (Online)

8. Krishnakumar N., Venugopalan R., Rajasekar N. Bacterial for aging algorithm based parameters timation of solarPV model. In Proceedings of the International Conference on Microelectronics, Communicationsand Renewable Energy (AICERA/ICMiCR) 2013; pp. 1–6. http://dx.doi.org/10.1109/aicera-icmicr.2013.6575948.

9. T. J. Liang, J. F. Chen, T. C. Mi, Y. C. Kuo, C. A. Cheng. «Study and implementation of DSP-based photovoltaic energy conversion system», Proc. of the 4th IEEE Int. Conf. on Power Electronics and Drive Systems, Vol. 2, Oct. 2001, pp. 807–810.

10. R. Faranda, S. Leva. «Energy comparison of MPPT techniques for PV Systems», WSEAS Trans. on Power Systems, Vol. 3, No. 6, June 2008, pp. 446–455.

11. Imad Elzein, Yury N. Petrenko. Fuzzy Logic Controller Design for Photovoltaic Power Station. Information technologies in education, science and industry: International Scientific Internet Conference, December 4, 2014 Section: Information technology in the production and research [electronic resource], 2014. ISSN,:2310-7405. Proc. http://rep.bntu.by/handle/data/12197.

12. Elzein, I. Maximum Power Point Tracking System for Photovoltaic Station: a Review. System Analysis and Applied Information Science, No. 3, 2015, pp. 15–20.

13. I. A. Elzein, Y. N. Petrenko. A study of maximum power point tracking algorithm for photovoltaic system using a fuzzy logic controller. WIT Transaction on Engineering Sciences, Vol.96, WIT Press, 2014, pp. 409–419.

14. Md. Tanvir Arafat Khan, S. M. Shahrear Tanzil, Rifat Rehman, S. M. Shafful Alam. «Design and construction of an Automatic Solar tracking System», ICECE 2010 6TH International Conference on Electrical and Computer Engineering, pp. 326–329, 2010 Dhaka, Bangladesh.

15. N. Femia, D. Granozio, G. Petrone, G. Spagnuolo, M. Vitelli. «Optimized one-cycle control in photovoltaic grid connected applications for photovoltaic power generation,» IEEE Trans. Aerosp. Electron. Syst., vol. 42, no. 3, pp. 954–972, Jul. 2006.

16. C. Larbes., S. M. A. Cheikh., T. Obeidi., A. Zerguerras, «Genetic algorithm optimized fuzzy logic control for the maximum power point tracking in photovoltaic system,» Renew. Energy, vol. 34, no. 10, pp. 2093–2100, 2009.

17. Esram, T., & Chapman, P. L «Comparison of photovoltaic array maximum power point tracking techniques,» in: IEEE Transactions on Energy Conversion EC, pp. 439–449 (2007).

18. Лобатый, А. А., Петренко, Ю. Н., Imad A. Elzein, A. S. Abufanas. Математическое моделирование гибридных электротехнических систем. Science & Technique, V.15, No4, (2016), pp. 322–328.


Review

For citations:


Elzein I.A., Petrenko Yu.N. AN EVALUATION OF PHOTOVOLTAIC SYSTEMS MPPT TECHNIQUES UNDER THE CHARACTERISTICS OF OPERATIONAL CONDITIONS. «System analysis and applied information science». 2017;(2):30-38. https://doi.org/10.21122/2309-4923-2017-2-30-38

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ISSN 2309-4923 (Print)
ISSN 2414-0481 (Online)