A Simple and Efficient MPPT Method for Low-Power PV Cells

Joint Authors

Penella, Maria Teresa
Gasulla, Manel

Source

International Journal of Photoenergy

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-27

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Chemistry

Abstract EN

Small-size PV cells have been used to power sensor nodes.

These devices present limited computing resources and so low complexity methods have been used in order to extract the maximum power from the PV cells.

Among them, the fractional open circuit voltage (FOCV) method has been widely proposed, where the maximum power point of the PV cell is estimated from a fraction of its open circuit voltage.

Here, we show a generalization of the FOCV method that keeps its inherent simplicity and improves the tracking efficiency.

First, a single-diode model for PV cells was used to compute the tracking efficiency versus irradiance.

Computations were carried out for different values of the parameters involved in the PV cell model.

The proposed approach clearly outperformed the FOCV method, specially at low irradiance, which is significant for powering sensor nodes.

Experimental tests performed with a 500 mW PV panel agreed with these results.

American Psychological Association (APA)

Penella, Maria Teresa& Gasulla, Manel. 2014. A Simple and Efficient MPPT Method for Low-Power PV Cells. International Journal of Photoenergy،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1036786

Modern Language Association (MLA)

Penella, Maria Teresa& Gasulla, Manel. A Simple and Efficient MPPT Method for Low-Power PV Cells. International Journal of Photoenergy No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1036786

American Medical Association (AMA)

Penella, Maria Teresa& Gasulla, Manel. A Simple and Efficient MPPT Method for Low-Power PV Cells. International Journal of Photoenergy. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1036786

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1036786