Development of Artificial Neural Network Based MPPT for Photovoltaic System during Shading Condition

Abstract:

This paper presents Feedforward Neural network (FFNN) and Elman network controllers to control the maximum power point tracking (MPPT) of photovoltaic (PV). MPPT is a method used to extract the maximum available power from photovoltaic module by designs them to operate efficiently. Thus, cell temperatures and solar irradiances are two critical variable factors to determine PV output powers. The performances of the controller is analyzed in four conditions which are i) constant irradiation and temperature, ii) constant irradiation and variable temperature, iii) constant temperature and variable irradiation and iv) variable temperature and irradiation. The proposed systems are simulated by using MATLAB-SIMULINK. Based on the results, FFNN controller has shown the better performance compare to the Elman network controller during partial shading conditions.

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 1573-1578
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.1573
• Online since: October 2013
• Authors: Mahamad Abd Kadir, Saon Sharifah
• Keywords: Elman Network, FFNN, Maximum Power, MPPT, Photovoltaic (PV)

References

[1] Toshihiko Noguchi, and Hiroyuki Matsumoto: Maximum Power Point Tracking Method Of Photovoltaic Using Only Single Current Sensor, Journal of Electrical Engineering in Japan, Vol. 160 (2007), p.79–86.

DOI: 10.1002/eej.20275

[2] S. Premrudeepreechacharn, and N. Patanapirom: Solar –Array Modeling and Maximum Power Point Tracking Using Neural Network, Power Tech Conference Proceedings, IEEE Bologna, Vol. 5 ( 2003).

DOI: 10.1109/ptc.2003.1304587

[3] R. Messenger and G. Ventre: Photovoltaic Systems Engineering, Second Edition Wiley (2003).

[4] C. C. Lee: Fuzzy-logic in control-systems: Fuzzy logic controller, Part I. IEEE Trans Syst Man Cybern, Vol. 20 (1990), pp.404-418.

DOI: 10.1109/21.52551

[5] L. Castaner: Modelling Photovoltaic Systems Using PSpice, CRC Press (2002).

[6] A. K. Mahammad, S. Saon and S. C. Wong: Development of Optimum Controller based on MPPT for Photovoltaic System during Shading Condition, Procedia Engineering, Vol. 53 ( 2013 ), p.337 – 346.

DOI: 10.1016/j.proeng.2013.02.044

[7] Engin Karatepe, Mutlu Boztepe, Metin Çolak: Development of a suitable model for characterizing photovoltaic arrays with shaded solar cells, Solar Energy, Vol. 81 (2007), p.977–992.

DOI: 10.1016/j.solener.2006.12.001

[8] Adel Mellit and Soteris A. Kalogirou: Artificial intelligence techniques for photovoltaic applications: A review , Progress in Energy and Combustion Science, Vol. 34 (2008), p.574–632.

DOI: 10.1016/j.pecs.2008.01.001

[9] J. Elman: Finding structure in time, Cognitive Science, Vol. 14 (1990), p.189–211.