An Improved Maximum Power Point Tracking Controller for PV Systems Using Artificial Neural Network

This paper presents an improved maximum power point tracking (MPPT) controller for PV systems. An Artificial Neural Network and the classical PO the response of the proposed MPPT controller is faster than the classical P&O algorithm. Moreover, the average tracking efficiency of the developed algorithm was 95.51% as compared to 85.99% of the classical P&O algorithm. Such developed controller increases the conversion efficiency of a PV system. Streszczenie. W artykule zaprezentowano ulepszony uklad śledzenia maksymalnej mocy w systemie fotowoltaicznym. Zastosowano siec neuronową i klasyczny algorytm P&O. Siec neuronowa w sprzezeniu zwrotnym ma cztery wejścia: promieniowanie sloneczne, temperatura otoczenia i wspolczynniki temperaturowe ISC i Voc. Wyjściem jest optymalne napiecie systemu. (Ulepszona metoda śledzenia maksymalnej mocy systemu fotowoltaicznego z wykorzystaniem sieci neuronowej)

[1]  Ying-Tung Hsiao,et al.  Maximum Power Tracking for Photovoltaic Power Systems , 2005 .

[2]  Tsutomu Hoshino,et al.  Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions , 1995 .

[3]  R. Ramaprabha,et al.  Intelligent Controller based Maximum Power Point Tracking for Solar PV System , 2011 .

[4]  A. Guessoum,et al.  Artificial intelligence based P&O MPPT method for photovoltaic systems , 2007 .

[5]  Y. Berkovich,et al.  Maximum power point tracking for photovoltaic systems , 2013, 2013 IEEE Grenoble Conference.

[6]  R. Teodorescu,et al.  Optimized Maximum Power Point Tracker for fast changing environmental conditions , 2008, 2008 IEEE International Symposium on Industrial Electronics.

[7]  Kamaruzzaman Sopian,et al.  An Efficient Maximum Power Point Tracking Controller for Photovoltaic Systems Using New Boost Converter Design and Improved Control Algorithm , 2010 .

[8]  Mamadou Lamine Doumbia,et al.  An improved maximum power point tracking method for photovoltaic systems , 2008 .

[9]  Andres Barrado,et al.  Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems , 2006 .

[10]  Mohamed Azab,et al.  A New Maximum Power Point Tracking for Photovoltaic Systems , 2008 .

[11]  Azah Mohamed,et al.  An efficient maximum power point tracking controller for a standalone photovoltaic system , 2010 .

[12]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[13]  J. So,et al.  Improved perturbation and observation method (IP&O) of MPPT control for photovoltaic power systems , 2005, Conference Record of the Thirty-first IEEE Photovoltaic Specialists Conference, 2005..