Feasibility of artificial neural network for maximum power point estimation of non crystalline-Si photovoltaic modules

2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09

Volumn , Issue , 2009, Pages

  Syafaruddin, ^a   Hiyama, Takashi ^a   Karatepe, Engin ^b  

^a KUMAMOTO UNIVERSITY   (Japan)

^b EGE UNIVERSITY   (Turkey)

Author keywords

2j a S; 3j a Si; ANFIS; ANN; CIS; RBF; Solar Cell; TFFN; Thin film CdTe

Indexed keywords

2J A-S; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AMORPHOUS SI; ANFIS; ARTIFICIAL NEURAL NETWORK; C-SI PV MODULES; C-SI SOLAR CELL; CDTE; CRYSTALLINE SILICONS; MAXIMUM POWER POINT; NETWORK STRUCTURES; OPERATING VOLTAGE; PHOTOVOLTAIC MODULES; PHOTOVOLTAIC SYSTEMS; RADIAL BASIS FUNCTIONS; SOLAR CELL TECHNOLOGY; TRACKING APPLICATION; TRAINING PROCESS; TRIPLE JUNCTION; VALIDATION ERRORS;

AMORPHOUS FILMS; AMORPHOUS SILICON; CADMIUM; CADMIUM ALLOYS; CADMIUM COMPOUNDS; CADMIUM TELLURIDE; CELLS; COMPUTER CRIME; CRYSTALLINE MATERIALS; ENERGY CONVERSION; FUZZY SYSTEMS; INDIUM; INTELLIGENT SYSTEMS; PHOTOVOLTAIC EFFECTS; RADIAL BASIS FUNCTION NETWORKS; SELENIUM COMPOUNDS; SILICON SOLAR CELLS; SOLAR CELLS; SOLAR POWER GENERATION; TECHNOLOGY; THIN FILM DEVICES; THIN FILMS;

NEURAL NETWORKS;

EID: 76549125394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISAP.2009.5352956     Document Type: Conference Paper

References (32)

1. A. Mellit, and S. A. Kalogirou, "Artificial intelligence techniques for photovoltaic applications: A review, " Progress in Energy and Combustion Science, vol.34, no.5, pp.574-632, 2008.
2. 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, no.2, pp.406-419, 2009.
3. F. Giraud, and Z.M. Salameh, "Analysis of the effects of a passing cloud on a grid-interactive photovoltaic system with battery storage using neural networks, " IEEE Transactions on Energy Conversion, vol.14, no.4, pp. 1572-1577, 1999.
4. A. Mellit, M. Benghanem, and S.A. Kalogirou, "An adaptive wavelet-network model for forecasting daily total solar-radiation, " Applied Energy, vol.83, no.7, pp.705-722, 2006.
5. G. Tina, and G. Capizzi, "Improved lead-acid battery modeling for photovoltaic application by recurrent neural networks, " in Proc. 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp.1170-1174.
6. X. Sun, W. Wu, X. Li, and Q. Zhao, "A research on photovoltaic energy controlling system with maximum power point tracking, " in Proc. 2002 Power Conversion Conf., vol.2, pp.822-826.
7. Syafaruddin, E. Karatepe, and T. Hiyama, "Polar coordinated fuzzy controller based real-time maximum power point control of photovoltaic system, " Renewable Energy, doi:10.1016/j.renene.2009.04.022, 2009.
8. Syafaruddin, E. Karatepe, and T. Hiyama, "Artificial neural network polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions, " IET Renewable Power Generation, vol.3, no.2, pp.239-253, 2009.
9. 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, " in Proc. 1998 the 24th Annual Conf. of the IEEE on Industrial Electronics Society, Vol. 1, pp.554-558.
10. A. Yona, T. Senjyu, A.Y Saber, T. Funabashi, H. Sekine, and K. Chul-Hwan, " Application of neural network to 24-hour-ahead generating power forecasting for PV system, " in Proc. 2008 Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pp.1-6.
11. D. Paul, S. N. Mandal, D. Mukherjee, and S. R. Bhadra Chaudhuri, " Artificial neural network modeling for effficient photovoltaic system design, in Proc. 2008 International Conference on Advanced Computer Theory and Engineering, pp.50-56.
12. A. Mellit, H. Mekki, and S. Shaari, " FPGA-based neural network for simulation of photovoltaic array: application for estimating the output power generation, " in Proc. 2008 Photovoltaic Specialists Conference, pp.1-7.
13. S. Zhou, L. Kang, G. Guo, Y. Zhang, J. Cao, and B. Cao, "The application of combinatorial optimization by Genetic Algorithm and Neural Network, " in Proc. 2008 the 3rd Industrial Electronics and Applications, pp.227-231.
14. S. Zhou, L. Kang, G. Guo, Y. Zhang and B. Cao, "The combinatorial optimization by Genetic Algorithm and Neural Network for energy storage system in Solar Energy Electric Vehicle, " in Proc. 2008 7th World Congress on Intelligent Control and Automation, pp.2838-2842.
15. J.A. Momoh, Y.Wang, and F. Eddy-Posey, "Optimal power dispatch of photovoltaic system with random load, " in Proc. 2004 IEEE Power Engineering Society General Meeting, vol.2, pp.1939-1945.
16. S. Chakraborty, and M.G Simoes, "PV-microgrid operational cost minimization by neural forecasting and heuristic optimization, " in Proc. 2008 IEEE Industry Applications Society Annual Meeting, pp.1-8.
17. S.I. Sulaiman, T.K. Abdul Rahman, and I. Musirin, "Optimizing one-hidden layer neural network design using evolutionary programming, "in Proc. 2009 5th International Colloquium on Signal Processing & Its Applications, pp.288-293.
18. P. Petchjatuporn, W. Ngamkham, N. Khaehintung, P. Sirisuk, and W. Kiranon, "A Solar-powered battery charger with neural network maximum power point tracking implemented on a low-cost PIC-microcontroller, " in Proc. 2005 International Conf. on Power Electronics and Drives Systems, vol. 1, pp.507-510.
19. Y.Narri, and V. Mummadi, "Adaptive controller for PV supplied buck-boost converter, " in Proc. 1999 IEEE International Conf. on Power Electronics and Drive Systems, pp.789-793.
20. K. Jae-Sub, J. Byung-Jin, P. Ki-Tae, C. Chung-Hoon, and C. Dong-Hwa, "Maximum power point tracking control of PV system for DC motors drive with neural network, " in Proc. 2008 International Conference on Smart Manufacturing Application, pp.514-519.
21. B. Cao, L. Chang, and H. Li, "Implementation of the RBF neural network on a SOPC for maximum power point tracking, " in Proc. 2008 Canadian Conference on Electrical and Computer Engineering, pp.981-985.
22. A. Mellit, M. Benghanem, and S.A. Kalogirou, "Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure, " Renewable Energy, vol.32, no.2, pp.285-313, 2007.
23. A. Varnham, A.M. Al-Ibrahim, G.S. Virk, and D. Azzi, "Soft-computing model-based controllers for increased photovoltaic plant efficiencies, " IEEE Transactions on Energy Conversion, vol.22, no.4, pp.873-880, 2007.
24. A. Mellit, and S. A. Kalogirou, "Neuro-fuzzy based modeling for photovoltaic power supply system, " in Proc. 2006 First International Power and Energy Conf. pp.88-93.
25. M.G. Villalva, J.R. Gazoli, E.R. Filho, "Comprehensive approach to modeling and simulation of photovoltaic arrays, " IEEE Transactions on Power Electronics, vol.24, no.5, pp.1198-1208, 2009.
26. H.G. Beyer, R. Gonschalg, T.R. Betts, and D.G. Infield, "Modeling the realistic short circuit current and MPP power of a-Si single and multijunction devices, " in Proc. 2003 3rd World Conf. on Photovoltaic Energy Conversion, pp.2435-2438.
27. D.L. King, "Photovoltaic module and array performance characterization methods for all system operating conditions, " Proceedings of NREL/SNL Photovoltaics Program Review Meeting, pp.1-22, 1997.
28. D.L. King, "Sandia's PV module electrical performance model, " Sandia National Laboratories, September 2000.
29. A. Mellit, M. Menghanem, and M. Bendekhis, "Artificial neural network model for prediction solar radiation data: application for sizing stand-alone photovoltaic power system, " in Proc. 2005 IEEE Power Engineering Society General Meeting, vol.1, pp.40-44.
30. K. Hyun-Soo, B.G. Morris, H. Seung-Soo and G.S. May, "A comparison of genetic and particle swarm optimization for contact formation in high-performance silicon solar cells, " in Proc. 2008 IEEE International Joint Conf. on Neural Networks, pp.1531-1535.
31. Syafaruddin, E. Karatepe and T. Hiyama, ANN based real-time estimation of power generation of different PV module types, IEEJ Transaction on Power and Energy, vol.129, no.6, pp.783-790, 2009.
32. E. Karatepe, and M. Alci, "A new approach to fuzzy wavelet system modeling, " International Journal of Approximate Reasoning, vol. 40, no.3, pp.302-322, 2005.