DocumentCode
3101708
Title
Hybrid behaviors analysis of photovoltaic array performance
Author
Xu, Qing-shan ; Lai, Loi Lei ; Tse, Norman ; Ichiyanagi, Katsuhiro
Author_Institution
Electr. Eng. Sch., Southeast Univ., Nanjing, China
Volume
6
fYear
2009
fDate
12-15 July 2009
Firstpage
3448
Lastpage
3456
Abstract
Photovoltaic cells would operate as a load when local solar irradiation declines in series connection, which would result in damage easily. Nowadays modules are often configured with bypass diodes to provide energy releasing route. Furthermore, blocking diode is connected in series before parallel connection in order to prevent inverse power injection. Based on such configurations, this paper was mainly devoted to present a simplified method for characterizing hybrid photovoltaic performance. Newton-Raphson method was adopted for numerical simulations. It was proven to be suitable and effective in model validation coinciding with manufacturer specification. Furthermore, MPP peak positions were reviewed roundly via simulations of the total characteristic curves, especially the operation mismatches caused by random shadows. Different abilities under diverse series/parallel patterns were also investigated for comparison. Researches indicate that: firstly, traditional monotone algorithms of MPPT could be invalid for detecting false maximum only; secondly, the ldquodoorsill effectrdquo of local irradiation intensities, namely that global power output might not be influenced by changes of local shadows; finally, suggestions are put forward that parallel connection should be ranked prior consideration with whole array design, to boost power output relatively.
Keywords
Newton-Raphson method; photovoltaic cells; Newton-Raphson method; bypass diodes; doorsill effect; hybrid behaviors analysis; inverse power injection; photovoltaic array performance; photovoltaic cells; solar irradiation; Aging; Cybernetics; Diodes; Machine learning; Numerical simulation; Performance analysis; Photovoltaic cells; Photovoltaic systems; Power generation; Solar power generation; Intelligent; Mismatching loss; Numerical simulation; Performance evaluation; Photovoltaic module;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212745
Filename
5212745
Link To Document