A novel approach of maximizing energy harvesting in photovoltaic systems based on bisection search theorem

This paper presents a new approach of maximizing energy harvesting in photovoltaic (PV) systems using bisection search theorem (BST). The fundamental of the BST and its application into maximum power point tracker (MPPT) in PV systems are described. A microcontroller is used to control a DC/DC boost converter to realize the MPPT function. Experimental results from solar array simulator show that the proposed technique can track maximum power point very fast within a few steps. The feasibility of the proposed MPPT is also verified in natural environment condition with two solar modules in parallel. Since the proposed technique is simple in computation, cheap in implementation and fast in tracking, it is expected to be widely used to replace conventional MPPT techniques in PV systems.

[1]  Jan T. Bialasiewicz,et al.  Renewable Energy Systems With Photovoltaic Power Generators: Operation and Modeling , 2008, IEEE Transactions on Industrial Electronics.

[2]  Jiann-Fuh Chen,et al.  Novel maximum-power-point-tracking controller for photovoltaic energy conversion system , 2001, IEEE Trans. Ind. Electron..

[3]  C.-L. Sandblom,et al.  Linear Programming and its Applications , 2007 .

[4]  M. Masoum,et al.  Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power Point Tracking , 2002, IEEE Power Engineering Review.

[5]  C. H. Cox,et al.  Experimental tests of open-loop maximum-power-point tracking techniques for photovoltaic arrays , 1984 .

[6]  V. Agarwal,et al.  A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems , 2004, IEEE Power Electronics Letters.

[7]  Subbaraya Yuvarajan,et al.  Photo-voltaic power converter with a simple maximum-power-point-tracker , 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

[8]  Kostas Kalaitzakis,et al.  Development of a microcontroller-based, photovoltaic maximum power point tracking control system , 2001 .

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

[10]  Daniele Poponi Analysis of diffusion paths for photovoltaic technology based on experience curves , 2003 .

[11]  Mohammad A. S. Masoum,et al.  Closure on "Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power point tracking" , 2002 .

[12]  Piazza Leonardo da Vinci,et al.  Energy comparison of MPPT techniques for PV Systems , 2008 .

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

[14]  O. Wasynczuk,et al.  Dynamic Behavior of a Class of Photovoltaic Power Systems , 1983, IEEE Power Engineering Review.

[15]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[16]  R. Faranda,et al.  Experimental test of seven widely-adopted MPPT algorithms , 2009, 2009 IEEE Bucharest PowerTech.