DocumentCode :
3459261
Title :
Maximum power point tracking using the optimal duty ratio for DC-DC converters and load matching in photovoltaic applications
Author :
Ortiz-Rivera, Eduardo I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Puerto Rico-Mayaguez, Mayaguez
fYear :
2008
fDate :
24-28 Feb. 2008
Firstpage :
987
Lastpage :
991
Abstract :
The purpose of this paper is to present an alternative maximum power point tracking, MPPT, algorithm for a photovoltaic module, PVM, to produce the maximum power, Pmax, using the optimal duty ratio, D, for different types of dc-dc converters and load matching. The proposed algorithm has the advantages of maximizing the efficiency of the power utilization, can be integrated to other MPPT algorithms without affecting the PVM performance, is excellent for real-time applications and is a robust analytical method, different from the traditional MPPT algorithms which are more based on trial and error, or comparisons between present and past states. The procedure to calculate the optimal duty ratio for a buck, boost and buck-boost converters, to transfer the maximum power from a PVM to a load, is presented in the paper. Additionally, the existence and uniqueness of optimal internal impedance, to transfer the maximum power from a photovoltaic module using load matching, is proved. Finally, results are presented in the paper.
Keywords :
DC-DC power convertors; photovoltaic power systems; buck-boost converters; dc-dc converters; load matching; maximum power point tracking; optimal duty ratio; optimal internal impedance; photovoltaic applications; photovoltaic module; power utilization; real-time applications; robust analytical method; Application software; DC-DC power converters; Photovoltaic systems; Power engineering computing; Short circuit currents; Solar energy; Solar power generation; Temperature; Virtual manufacturing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty-Third Annual IEEE
Conference_Location :
Austin, TX
ISSN :
1048-2334
Print_ISBN :
978-1-4244-1873-2
Electronic_ISBN :
1048-2334
Type :
conf
DOI :
10.1109/APEC.2008.4522841
Filename :
4522841
Link To Document :
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