Abstract
In this paper a novel model of smart grid-connected solar power system is developed. The model is implemented using MatLab/SIMULINK software package. Artificial neural network (ANN) algorithm is used for maximizing the generated power based on maximum power point tracker (MPPT) implementation. The dynamic behavior of the proposed model is examined under different operating conditions. Solar irradiance, and temperature data are gathered from a grid connected, 28.8 kW solar power system located in central Manchester. The developed system and its control strategy exhibit excellent performance with tracking efficiency exceed 94.5%. The proposed model and its control strategy offer a proper tool for smart grid performance optimization.
Similar content being viewed by others
References
Natsheh, E.M. and Albarbar, A., Proc. IET Conf. on Renewable Power Generation, Edinburgh, 2011, pp. 1–6.
Gow, J.A. and Manning, C.D., Electric Power Appl., 1999, vol. 146, pp. 193–200.
Elgendy, M.A., Zahawi, B., and Atkinson, D.J., IEEE Trans. Sust. Energy, 2012, vol. 3, pp. 21–33.
Zhou, W., Lou, C., Li, Z., Lu, L., and Yang, H., Appl. Energy, 2010, vol. 87, pp. 380–389.
Wang, C. and Nehrir, M.H., IEEE Trans. Energy Convers., 2008, vol. 23, pp. 957–967.
Ahmed, N.A., Miyatake, M., and Al-Othman, A.K., Energy Convers. Manag., 2008, vol. 49, pp. 2711–2719.
Larsen, K., Renew. Energy Focus, 2009, vol. 10, pp. 48–53.
Villalva, M.G., Gazoli, J.R., and Filho, E.R., IEEE Trans. Power Electron., 2009, vol. 24, pp. 1198–1208.
Natsheh, E.M., Albarbar, A., and Yazdani, J., Proc. 2nd IEEE PES Int. Conf. and Exhibition on Innovative Smart Grid Technologies, Manchester, 2011, pp. 1–8.
Natsheh, E.M. and Albarbar, A., J. Phys. Conf. Ser., 2012, vol. 364, pp. 1–13.
Kim, D.E. and Lee, D.C., Proc. 7th Int. Conf. on Power Electronics, Daegu, 2007, pp. 766–771.
Onar, O.C., Uzunoglu, M., and Alam, M.S., J. Power Sources, 2008, vol. 185, pp. 1273–1283.
Tofighi, A. and Kalantar, M., Renew. Energy, 2011, vol. 36, pp. 2440–2450.
Al-Alawi, A., Al-Alawi, S.M., and Islam, S.M., Renew. Energy, 2007, vol. 32, pp. 1426–1439.
Negnevitsky, M., Artificial Intelligence: A Guide to Intelligent Systems, Essex: Addison Wesley, 2004.
Author information
Authors and Affiliations
Corresponding author
Additional information
The article is published in the original.
About this article
Cite this article
Natsheh, E.M., Natsheh, A.R. & Albarbar, AH. An automated tool for solar power systems. Appl. Sol. Energy 50, 221–227 (2014). https://doi.org/10.3103/S0003701X14040094
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0003701X14040094