Development of an algorithm of maximum power point tracking for photovoltaic systems using genetic algorithms

This paper presents a novel GA (genetic algorithms) based method to carry out the maximum power point tracking (MPPT) based on the cell model. For that it is necessary to measure the open circuit voltage (Voc) and short circuit current (Isc), then the proposed algorithm gives directly and rapidly the optimal voltage (Vop) so the duty cycle is adjusted. The simulation results are obtained by changing Isc and Voc values. The proposed technique permits to verify the linearity between Vop and Voc and between optimal current (Iop) and Isc. The results are compared with the conventional Perturb and Observe (P&O) and Incremental Conductance (IncCond) algorithms.

[1]  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 .

[2]  I. Queinnec,et al.  MPPT of photovoltaic systems using extremum - seeking control , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[3]  R. Dougal,et al.  Dynamic Multi-Physics Model for Solar Array , 2002, IEEE Power Engineering Review.

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

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

[6]  Ying-Tung Hsiao,et al.  Maximum power tracking for photovoltaic power system , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[7]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

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

[9]  C. Boisvineau,et al.  Optimisation du fonctionnement d'un générateur photovoltaïque : Asservissement extrémal de la puissance , 1982 .

[10]  Hans S. Rauschenbach,et al.  Solar Cell Array Design Handbook: The Principles and Technology of Photovoltaic Energy Conversion , 1980 .

[11]  R. Dougal,et al.  Dynamic Multi-Physics Model for Solar Array , 2002 .

[12]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[13]  Yong Kang,et al.  A Variable Step Size INC MPPT Method for PV Systems , 2008, IEEE Transactions on Industrial Electronics.

[14]  Ziyad M. Salameh,et al.  Photovoltaic module-site matching based on the capacity factors , 1995 .