Adaptive neuro-fuzzy inference system based maximum power point tracking of a solar PV module

2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010

Volumn , Issue , 2010, Pages 51-56

  Iqbal, A ^a   Abu Rub, H ^a   Ahmed, Sk M ^a  

^a TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

Adaptive Neuro Fuzzy Inference System (ANFIS); boost converter; Maximum Power Point tracker; Solar PV

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BOOST CONVERTER; CLOSED-LOOP CONTROL; DUTY RATIOS; ENERGY GENERATIONS; FAST RESPONSE; MAXIMUM POWER; MAXIMUM POWER POINT TRACKER; MAXIMUM POWER POINT TRACKING; SIMULATION RESULT; SOLAR IRRADIANCES; SOLAR PHOTOVOLTAICS; SOLAR PVS; TEMPERATURE CONDITIONS;

DC-DC CONVERTERS; FUZZY INFERENCE; PHOTOVOLTAIC EFFECTS; PUMPS; SOLAR ENERGY; SOLAR POWER GENERATION; SOLAR RADIATION;

FUZZY SYSTEMS;

EID: 79958294222     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ENERGYCON.2010.5771737     Document Type: Conference Paper

References (31)

1. http://www.gulfbase.com/site/interface/SpecialReport/GCC-Energy- Landscape-04102009.pdf
2. http://www.gulfinthemedia.com/index.php?m=araa&id=2409&lang= en&PHPSESSID=8
3. Y. Anagreh, A. Bataineh and M. Al-Odat, "Assessment of renewable energy potential at Aqaba, Jordan", Renewable and Sustainable Energy Reviews, vol. 14, issue, 4, pp. 1347-1351, 2010.
4. H. Doukas, "Renwable energy sources and rationale use of energy development in the countries of GCC: myth or reality?", Renewable Energy, vol. 31, pp. 755-770, 2006. (Pubitemid 43088722)
5. M.A. El-Hadidy, "Performance evaluation of hybrid (wind/solar/deiseil) power systems", Renewable Energy, vol. 26, pp. 401-413, 2003.
6. Sami Kamel and Carol Dahl, "The economics of hybrid power systems for sustainable desert agriculture in Egypt", Energy, vol. 30, pp. 1271-1281, 2005. (Pubitemid 39605906)
7. K.D. Patlitzianas, H. Doukas and J. Psarras, "Enhancing renewable energy in the Arab state of the Gulf: constarinst and efforts", Energy Policy, vol. 34, pp. 3719-3726, 2006. (Pubitemid 44574188)
8. A. M. Hamid, "Feasibility study of photovoltaic technology in Qatar", Renewable Energy, vol. 24, pp. 565-567, 2001.
9. H. Abu-Rub, A. Iqbal, S. Amin, G. Abdelkader, S. Mansoor, T. Mirza and S. Ahmed, "Feasibility analysis of solar photovoltaic array cladding on commercial towers in Doha, Qatar-A case study", Int. Journal of Sustainable Energy, vol. 29, No. 2, pp. 76-86, 2010.
10. B. H. Khan, "Non conventional energy sources", Tata Mc Graw Hills, ed. 1. 2006.
11. nd Edition Wiley Interscience, 2003.
12. V. Salas, E. Olias, A. Barrado and A. Lazaro, "Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems", Solar Energy Materials & Solar Cells, vol. 90, pp. 1555-1578, 2006. (Pubitemid 44316531)
13. D.P. Hohm and M.E. Ropp, "Comparative study of Maximum power point tracking algorithms", Progress in Photovolatics: Research and Applications, pp. 47-62, 2002.
14. R. Faranda and S. Leva, "Energy comparison of MPPT techniques for PV systems", WSEAS Trans. On Power Systems, vol. 3, issue 6, pp. 446-456, June 2008.
15. th WSEAS int. conf. on application of electrical Engg., Trondheim, Norway, pp. 100-105, 2008.
16. X. Sun, W. Wu, Xin Li and Q. Zhai, "A Research on photovoltaic energy controlling system with maximum power point tracking", Proc. Power Conversion Conf. Pp. 822-826, 2002.
17. A. Mellit, S. A. Kalogirou, L. Hontoria and S. Shaari, "Artificial intelligence techniques for sizing photovoltaic systems: A Review", Renewable and Sustainable Energy Reviews, vol. 13 pp. 406-419, 2009.
18. C. Rodriguez and G.A.J. Amartatunga, "Analytical solution to the photovoltaic maximum power point tracking problem", IEEE Trans. On Circuits and Systems, vol. 54, no. 9, pp. 2054-2060, 2007. (Pubitemid 47456045)
19. W. Xiao, W.G. Dunford, P.R. Palmer and A. Capel, "Application of centred differentiation and steepest descenet to maximum power point tracking", IEEE Trans. On Ind. Elect., vol. 54, no. 5, pp. 2539-2549, 2007.
20. N. Femia, G. Petrone, G. Spagnuolo and M. Vitelli, "Optimization of Perturb and Observer Maximum power point tracking method", IEEE Trans. On Power Electronics, vol. 20, no. 4, pp. 963-973, 2005. (Pubitemid 41046704)
21. D. Sera, R. Teodorescu, J. Hantschel and M. Knoll, "Optimized maximum power point tracking for fast changing environmental conditions", IEEE Trans. On Ind. Elect., vol. 55, no. 7, pp. 2629-2637, 2008.
22. A. Mellit, and S. A. Kalogirou, "Artificial intelligence techniques for photovoltaic applications: A Review", Progress in Energy and Combustion Science, vol. 34 pp. 574-632, 2008.
23. T. Hiyama and K. Kitabayashi, "Neural Network based estimation of maximum power point generation from PV module using environmental information", IEEE Trans. On Energy Conv. Vol. 12, no. 3, pp. 241-247, 1997.
24. A. de Medeiros Torres, F.L.M. Antunes, and F.S. dos Reis, "An Artificial Neural Network-Based Real Time Maximum Power Tracking controller For Connecting a PV System to the Grid", Proceeding of IEEE the 24th Annual Conference on Industrial Electronics Society, Vol. 1, pp. 554-558, 1998.
25. A. AI-Amoudi and L. Zhang, "Application of Radial Basis Function Networks For Solar-Array Modelling And Maximum Power-Point Prediction", IEE Proceeding - Generation, Transmission and Distribution, Vol. 147, No. 5, pp. 310-316, Sept. 2000.
26. S. Premrudeepreechacham, and N. Patanapirom, "Solar-Array Modelling and Maximum Power Point Tracking Using Neural Networks", IEEE Bologna Power Tech Conference, June 23-26, Bologna, Italy, 2003.
27. T. L. Kottas, Y. S. Boutalis and A.D. Karlis, "New maximum power point tracker for PV arrays using Fuzzy controller in close cooperation with fuzzy cognitive network", IEEE Trans. On Energy Conv. Vol. 21, no. 3, 2006.
28. M.S. Kaisar, A. Anwer, S.K. Aditya and R. K. Mazumder, "Design and simulation of Fuzzy based MPPT", Renewable Energy Prospect and Progress, pp. 19-21, 2005.
29. A. M.S. Aldobhani and R. John, "Maximum Power point tracking of PV system using ANFIS prediction and fuzzy logic tracking", Proc. Int. Multiconf. Of Engineeris and Computer Scientists IMECS, 19-21 March, Hong Kong, vol. II., CD-ROM2008.
30. nd Edition, New York Practice Hall Inc. 1999.
31. G. Chen and T. T. Pham, "Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems", CRC Press, 2000.