DocumentCode
2341254
Title
An improved perturbation and observation MPPT method of photovoltaic generate system
Author
Chun-xia, Liu ; Li-qun, Liu
Author_Institution
Inst. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear
2009
fDate
25-27 May 2009
Firstpage
2966
Lastpage
2970
Abstract
An efficient maximum power point tracking (MPPT) algorithm is important to increase the output efficiency of a photovoltaic (PV) generate system. The conventional perturbation and observation (PO) MPPT algorithm is impossible to quickly acquire the maximum power point (MPP), and the tracking course is very difficulty under veil weather conditions, and the essential reason is not known the actual values of the n and Io. It is well-known that the different solar cells have different n and Io. Theoretical and simulative results show that a piece of solar cell has same photocurrent under different n and Io conditions. A new combined perturb and observe (PO) method is described in order to acquire the actual n and I. Then an improved PO maximum power point tracking method is described which based on the actual n and Io, and the tracking bound is reduced, and the tracking speed is rapid to compare with the conventional PO method. Furthermore, it is simple and can be easily implemented in digital signal processor (DSP). The simulation results verified the correctness and validity of MPPT method.
Keywords
photovoltaic power systems; digital signal processor; maximum power point tracking algorithm; perturbation-observation method; photovoltaic generate system; solar cell; Computer science; Diodes; Kelvin; Photoconductivity; Photovoltaic cells; Photovoltaic systems; Power generation; Power system modeling; Signal processing algorithms; Solar power generation; Diode factor; Maximum Power Point Tracking (MPPT); Photocurrent; Photovoltaic (PV) system; Reverse saturation current;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138752
Filename
5138752
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