DESIGN AND APPLICATION OF SOLAR TRACKING SYSTEM USING OPTIMIZED FUZZY LOGIC CONTROLLER BY GENETIC ALGORITHM

Öz

This study describes an intelligent control algorithm for the solar tracking system (STS) providing maximum performance from the photovoltaic panel according to different sun positions. The solar tracking system is designed as dual axis to increase the efficiency of photovoltaic panels. DC motors are preferred in order to minimize cost and to control the azimuth and zenith angles in the solar tracking system. Fuzzy logic algorithms are used to adjust the speed of these motors to track the sun’s position with a high degree of accuracy. After designing a fuzzy logic controller in order to control the motors, membership functions of controller and control rules are simultaneously found by genetic algorithms which is an optimization algorithm based on natural selection and genetic mechanics. As a result in the study, the power performance analysis is compared between a photovoltaic panel positioned on the designed solar tracking system and a photovoltaic panel positioned on the static system. According to comparison results, the photovoltaic panel positioned on the solar tracking system is observed that it shows higher performance at varying rates of depending on the seasons.

Anahtar Kelimeler

• Photovoltaic system,Solar tracking system,,Genetic Algorithm,Optimization,Fuzzy Logic

Kaynakça

1. [1] Sharafi, M. and ELMekkawy, T. Y., ''Multi-objective optimal design of hybrid renewable energy systemsusing PSO-simulation based approach.'' Renewable Energy, 68, 67-79, 2014.
2. [2] Sharaf Eldin, S.A., Abd-Elhady, M.S., Kandil,H.A., ''Feasibility of solar tracking systems for PV panels in hot and cold regions.'' Renewable Energy,85, 228-23, 2016.
3. [3] Vieira, R.G., Guerra, F.K.O.M.V., Vale, M.R.B.G., Araújo,M.M., ''Comparative performance analysis between static solar panels and single-axis tracking system on a hot climate region near to the equator.'' Renewable and Sustainable EnergyReviews, 64,672–681, 2016
4. [4] Clifford, M.J., and Eastwood, D., ''Design of a novel passive solar tracker.'' Sol Energy, 77(3), 269–80, 2004.
5. [5] Poulek V., ''Testing the new solar tracker with shape memory alloy actors.'' Proc. 24th Conf. IEEE Photovoltaic Specialists Conference, 1131–1133, 1994.
6. [6] ZakiFarooqui, S., ''A gravity based tracking system for box type solar cookers.'' Solar Energy, 92, 62-68, 2013.
7. [7] Natarajan, M. and Srinivas, T., ''Experimental and simulation studies on a novel gravity based passive tracking system for a linear solar concentrating collector.'' Renewable Energy, 105, 312-323, 2017.
8. [8] Quesada, G., Laura Guillon L., Rousse, D.R., Mehrtash, M., Dutil, Y., Paradis, P., ''Tracking strategy for photovoltaic solar systems in high latitudes.'' Energy Conversion and Management, 103, 147–156, 2015

9. [9] Bentaher, H., Kaich, H., Ayadi N., Ben Hmouda M., Maalej, A., Lemmer, U., ''A simple tracking system to monitor solar PV panels.'' Energy Conversion and Management,78, 872–875, 2014
10. [10] Kalogirou, S.A., ''Design andconstruction of a one-axis sun-tracking.'' Sol Energy, 57(6), 465–469, 1996.
11. [11] Sefa, I., Demirtas, M., Çolak, I.,''Application of one-axis sun tracking system.'' Energy Convers Manage, 50, 2709–2718, 2009.
12. [12] Konar, A., and Mandal, A.K., ''Microprocessor based automatic sun-tracker.'' IEE Proceedings Part A Physical Science Measurement and Instrumentation Manage-ment and Education Reviews,138(4), 237–241, 1991.
13. [13] Abdallah, S., ''Nijmeh S, Two axes sun tracking system with PLC control.'' Energy Conversion and Management,45,1931–1939, 2004.
14. [14] Ferdaus, R.A., Asif Mohammed, M., Rahman, S., Salehin, S., and AbdulMannan, M., ''Energy Efficient Hybrid Dual Axis Solar Tracking System.'' Journal of Renewable Energy,2014,1-12, 2014.
15. [15] Yao,Y., Hu, Y., Gao, S., Yang, G., Du, J., ''A multipurpose dual-axis solar tracker with two tracking strategies.'' Renewable Energy, 72, 88-98, 2014.
16. [16] Yazidi A., Betin, F.,Notton G., Capolino, G.A., ''Low cost two-axis solar tracker with high precision positioning.'' Environment Identities and Mediterranean Area, ISEIMA '06. First international Symposium on, 9-12 July 2006 Corte-Ajaccio, France, 2006.
17. [17] Edwards, B.P., ''Computer based sun following system.'' Solar Energy, 21, 491–496, 1978.
18. [18] Alata M, Al-Nimr M.A., Qaroush Y., ''Developing a multipurpose sun tracking system using fuzzy control.'' Energy Conversion and Management, 46, 1229–1245, 2015.
19. [19] Duffie, J.A., and Beckman, W.A., ''Solar Engineering of Thermal Processes.'' John Wiley & Sons, New Jersey, 2013.
20. [20] Zadeh, L.A., ''Fuzzy sets.'' Information & Control, 8, 338-353, 1965.
21. [21] Messaia A., Mellit A., Guessoumc A., Kalogirou, S.A., ''Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation.'' Solar Energy,85(2), 265-277, 2011.
22. [22] Zimmerman, H.J., ''Fuzzy Set Theory and its Applications.'' Kluwer Academic Publishers, London, 1994.
23. [23] Dubois, D., and Prade, H., ''An introduction to fuzzy systems.'' Clinica Chimica Acta, 270, 23-29, 1998.
24. [24] Karr, C.L., and Gentry E.J., ''Fuzzy control of pH using genetic algorithms.'' IEEE Transactions on Fuzzy System, 46–53, 1993.
25. [25] Goldberg, D.E., ''Genetic Algorithms in Search, Optimization, and Machine Learning.'' Addison-Wesley Publishing Company, Inc., 412, 1989.