Hopfield neural network optimized fuzzy logic controller for maximum power point tracking in a photovoltaic system

International Journal of Photoenergy

Volumn 2012, Issue , 2012, Pages

  Subiyanto, ^a   Mohamed, Azah ^a   Shareef, Hussain ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; FUZZY INFERENCE; HOPFIELD NEURAL NETWORKS; MAXIMUM POWER POINT TRACKERS; PERTURBATION TECHNIQUES; SOLAR PANELS;

EXPERT KNOWLEDGE; FUZZY LOGIC CONTROLLERS; MAXIMUM POWER POINT TRACKING; MEMBERSHIPS FUNCTION; PHOTOVOLTAIC MODULES; PHOTOVOLTAIC SYSTEMS; RADIATION TEMPERATURE; SOLAR LOAD; TRIAL-AND-ERROR APPROACH; TUNING PARAMETER;

MEMBERSHIP FUNCTIONS;

EID: 84855170543     PISSN: 1110662X     EISSN: 1687529X     Source Type: Journal    
DOI: 10.1155/2012/798361     Document Type: Article

References (25)

1. Hammons T. J., Boyer J. C., Conners S. R., Davies M., Ellis M., Fraser M., Holt E. A., Markard J., Renewable energy alternatives for developed countries IEEE Transactions on Energy Conversion 2000 15 4 481 493 (Pubitemid 32252044)
2. Blaabjerg F., Zhe C., Teodorescu R., Renewable energy systems in the power electronics curriculum 2005 Proceedings of the IEEE Power Electronics Education Workshop 2005 58 68
3. Eltawil M. A., Zhao Z., Grid-connected photovoltaic power systems: technical and potential problemsa review Renewable and Sustainable Energy Reviews 2010 14 1 112 129
4. Salas V., Olas E., Barrado A., Lzaro A., Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems Solar Energy Materials and Solar Cells 2006 90 11 1555 1578 (Pubitemid 44316531)
5. Esram T., Chapman P. L., Comparison of photovoltaic array maximum power point tracking techniques IEEE Transactions on Energy Conversion 2007 22 2 439 449 (Pubitemid 46845644)
6. D'Souza N. S., Lopes L. A. C., Liu X. J., An intelligent maximum power point tracker using peak current control Proceedings of the IEEE 36th Power Electronics Specialists Conference (PESC '05) 172 177
7. Cheikh M. S. A., Larbes C., Kebir G. F. T., Zerguerras A., Maximum power point tracking using a fuzzy logic control scheme Revue des Energies Renouvelables 2007 10 3 387 395
8. Lalouni S., Rekioua D., Rekioua T., Matagne E., Fuzzy logic control of stand-alone photovoltaic system with battery storage Journal of Power Sources 2009 193 2 899 907
9. Moreno A., Julve J., Silvestre S., Castaner L., A fuzzy logic controller for stand alone PV systems Proceedings of the IEEE Photovoltaic Specialists Conference 2000 1618 1621
10. Patcharaprakiti N., Premrudeepreechacharn S., Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system Proceedings of the IEEE Power Engineering Society Winter Meeting January 2002 372 377
11. Messai A., Mellit A., Guessoum A., Kalogirou S. A., Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation Solar Energy 2011 85 2 265 277
12. Letting L. K., Munda J. L., Hamam A., Particle swarm optimized T-S fuzzy logic controller for maximum power point tracking in a photovoltaic system Proceedings of the 9th International Power and Energy Conference (IPEC '10) 2010 89 94
13. Khaehintung N., Kunakorn A., Sirisuk P., A novel fuzzy logic control technique tuned by particle swarm optimization for maximum power point tracking for a photovoltaic system using a current-mode boost converter with bifurcation control International Journal of Control, Automation and Systems 2010 8 2 289 300
14. Premrudeepreechacham S., Patanapirom N., Solar-array modelling and maximum power point tracking using neural networks 2 Proceedings of the International Power Tech Conference 2003 Bologna, Italy 5 9
15. Chao K. H., Li C. J., Wang M. H., A maximum power point tracking method based on extension neural network for PV systems Advances in Neural Networks 2009 5551 745 755
16. Habibi M., Yazdizadeh A., New MPPT controller design for PV arrays using neural networks Advances in Neural Networks 2009 5552 1050 1058
17. Veerachary M., Senjyu T., Uezato K., Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter- supplied PV system using fuzzy controller IEEE Transactions on Industrial Electronics 2003 50 4 749 758
18. Mellit A., Kalogirou S. A., Artificial intelligence techniques for photovoltaic applications: a review Progress in Energy and Combustion Science 2008 34 5 574 632
19. Hopfield J. J., Neural networks and physical systems with emergent collective computational abilities Proceedings of the National Academy of Sciences of the United States of America 1982 79 8 2554 2558
20. Hopfield J. J., Neurons with graded response have collective computational properties like those of two-state neurons Proceedings of the National Academy of Sciences of the United States of America 1984 81 10 I 3088 3092 (Pubitemid 14109528)
21. Hopfield J. J., Tank D. W., Neural computation of decisions in optimization problems Biological Cybernetics 1985 52 3 141 152 (Pubitemid 15007505)
22. Madziuk J., Optimization with the Hopfield network based on correlated noises: experimental approach Neurocomputing 2000 30 14 301 321
23. Joya G., Atencia M. A., Sandoval F., Hopfield neural networks for optimization: study of the different dynamics Neurocomputing 2002 43 219 237 (Pubitemid 34041235)
24. HIP-200BA3 Sanyo, technical sheet, 2006, http://www.fsuwise.org/ renewable/Images/WISEDemoSyatemFiles/Sanyo200W.pdf
25. Haykin S., Neural Networks A Comprehensive Foundation 2005 9th Delhi, India Pearson Education