DocumentCode
1764786
Title
An Improved Model-Based Maximum Power Point Tracker for Photovoltaic Panels
Author
Cristaldi, L. ; Faifer, Marco ; Rossi, Mattia ; Toscani, Sergio
Author_Institution
Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
Volume
63
Issue
1
fYear
2014
fDate
Jan. 2014
Firstpage
63
Lastpage
71
Abstract
It is well known that in a photovoltaic (PV) plant, the modules are connected to switch-mode power converters to enhance the power output in every environmental condition. This task is performed by the maximum power point tracker (MPPT), which provides a current or voltage reference to the converter. Traditional perturb and observe or incremental conductance algorithms are not efficient in rapidly changing conditions, whereas a model-based (MB) MPPT offers a better dynamic performance. Because it is relatively easy to obtain an accurate model of a single PV panel, thus predicting the maximum power point voltage for given environmental conditions, MB MPPTs seemed to be attractive for employing in module integrated converters. Conventional MB MPPT algorithms, however, usually require an expensive pyranometer to properly operate. In this paper, starting from a new set of equations modeling a PV module, a novel MB MPPT technique, which does not require the direct measurement of the solar radiation, is proposed and experimentally validated.
Keywords
maximum power point trackers; photovoltaic power systems; power convertors; solar cells; environmental condition; incremental conductance algorithms; maximum power point tracker; module integrated converters; photovoltaic panels; photovoltaic plant; set of equations; solar radiation; switch-mode power converters; Equations; Estimation; Mathematical model; Maximum power point trackers; Microwave integrated circuits; Solar radiation; Temperature measurement; Energy efficiency; modeling; parameter estimation; photovoltaic (PV) cells; solar energy;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2013.2277579
Filename
6587485
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