Random Articles
Reseach Article
Artificial Neural Network Implementation for Maximum Power Point Tracking of Optimized Solar Panel
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 10 |
| Year of Publication: 2013 |
| Authors: Lalam S. Sindhura, Kalpana Chaudary |
10.5120/13522-1176
|
Lalam S. Sindhura, Kalpana Chaudary . Artificial Neural Network Implementation for Maximum Power Point Tracking of Optimized Solar Panel. International Journal of Computer Applications. 78, 10 ( September 2013), 1-6. DOI=10.5120/13522-1176
Abstract
In this paper, maximum power point tracking of solar panel using artificial neural network control is developed and simulated in Mat lab. The Solar panel is modeled using conventional five parameter model and adjusted according to the manufacturer's datasheet values by calculating its internal resistance using an iterative process, Newton-Raphson method. A simple DC-DC Boost converter is used to transfer the maximum power to the load which is achieved by using a control strategy that changes the duty cycle of this converter accordingly. Artificial Neural Network is used to generate the reference values, according to the changing atmospheric conditions, that are required for the control strategy. Training of the neural network is done using the Mat lab tool box using feed forward back propagation training algorithm and mean square error algorithm is used for calculating the error. The proposed model is compared with conventional Perturb and Observe technique and shown that method using ANN gives better results.
References
- J. A. Gow and C. Manning, "Development of a photovoltaic array model for use in power electronics simulation studies," in proc. IEE Electric power applications, vol 146, issue 2, pp. 193-200, March 1999.
- Esram, T. ; Chapman, P. L. , "Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques," Energy Conversion, IEEE Transactions on , vol. 22, no. 2, pp. 439,449, June 2007.
- Weidong Xiao; Dunford, W. G. ;, "A modified adaptive hill climbing MPPT method for photovoltaic power systems," 35th IEEE Annual Power Electronics Specialists Conference. PESC 04. vol. 3, no. , pp. 1957- 1963 Vol. 3, 20-25 June 2004.
- Strache, S. ; Mueller, J. H. ; Platz, D. ; Wunderlich, R. ; Heinen, S. , "Maximum power point tracker for small number of solar cells connected in series," IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society , vol. , no. , pp. 5732,5737, 25-28 Oct. 2012.
- Sofai. Lalouni, Djamila. Rekioua, "Modeling and Simulation of Photovoltaic System, using Fuzzy Logic Controller", in IEEE International Conference on Developments in Systems Engineering, 2009.
- Tae-Yeop Kim; Ho-Gyun Ahn; Seung Kyu Park; Youn-Kyun Lee, "A novel maximum power point tracking control for photovoltaic power system under rapidly changing solar radiation," Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on , vol. 2, no. , pp. 1011,1014 vol. 2, 2001.
- M. G. Villalva, et al. ,"Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays," IEEE Transactions on Power Electronics, vol. 24, pp. 1198-1208, 2009.
- N. Mohan, Tore M. Undeland, William P. Robbins, Power Electronics Converters: Application and Design, John Wiley & Sons (Asia) Pvt. Ltd, 2004.
- Femia, N. ; Petrone, G. ; Spagnuolo, G. ; Vitelli, M. ;, "Optimization of perturb and observe maximum power point tracking method," IEEE Transactions on Power Electronics, vol. 20, no. 4, pp. 963- 973, July 2005
- Ramaprabha, R. ; Mathur, B. L. ; Sharanya, M. , "Solar array modeling and simulation of MPPT using neural network," Control, Automation, Communication and Energy Conservation, 2009. INCACEC 2009. 2009 International Conference on, vol. , no. , pp. 1, 5, 4-6 June 2009.
- Anil K et al. "Simulation model of ANN based maximum power point tracking controller for solar PV system. " Solar Energy Materials and Solar Cells 95. 2 (2011), pp. 773-778.
Index Terms
Keywords