DocumentCode :
3254452
Title :
Photovoltaic array reconfiguration for maximum power transfer
Author :
Tria, Lew R Andrew ; Escoto, M.T. ; Odulio, Carl F Michael
Author_Institution :
Electr. & Electron. Eng. Inst., Univ. of the Philippines Diliman, Quezon City, Philippines
fYear :
2009
fDate :
23-26 Jan. 2009
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we developed a photovoltaic array reconfiguration algorithm to maximize the power that an array can provide a load. The algorithm reconfigures the array such that each element of the array is operated at its maximum power point. A switch topology was also designed to implement the algorithm using the minimum number of switches. Two parameters are used by the algorithm: array loaded voltage and temperature. The algorithm is tested on reconfiguring an array of four photovoltaic panels. The performance of the photovoltaic modules is studied with and without the switching algorithm. Simulations were also done to validate the performance of the system. Tests showed that for a constant resistance load, the algorithm can match the performance of other possible configurations and introduce a significant improvement in the output power of the array. For the constant current load, it was noted that the array can supply the required current at a minimum irradiance while for a constant voltage load, the system performed better than any of the possible configurations.
Keywords :
photovoltaic power systems; solar cell arrays; constant resistance load; maximum power point; maximum power transfer; photovoltaic array reconfiguration algorithm; photovoltaic panels; switch topology; Algorithm design and analysis; Current supplies; Photovoltaic systems; Power generation; Solar power generation; Switches; Temperature; Testing; Topology; Voltage; array reconfiguration; maximum power transfer; photovoltaics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-4546-2
Electronic_ISBN :
978-1-4244-4547-9
Type :
conf
DOI :
10.1109/TENCON.2009.5395965
Filename :
5395965
Link To Document :
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