Title :
Adaptive photovoltaic cell simulation with maximum power point tracking simulation for accurate energy predictions
Author :
Schuss, Christian ; Rahkonen, Timo
Author_Institution :
Electron. Lab., Univ. of Oulu, Oulu, Finland
Abstract :
This paper presents a modelling tool for photovoltaic (PV) cells, which can build and optimise a simulation model based on measured data, and can plot the I-V (Current-Voltage) and the P-V (Power-Voltage) curve. Furthermore, it allows using solar irradiation and temperature profiles to make cumulative energy simulations during a day, for example, and compare the efficiency of different MPPT algorithms by simulating their behaviour and performance. It was found out that realistic temperature data is very crucial for estimating the effects of MPPT algorithms. The tool is implemented in LabVIEW™, which makes it easy to combine with actual measurements and offers a suitable graphic user interface (GUI).
Keywords :
graphical user interfaces; maximum power point trackers; solar cells; sunlight; virtual instrumentation; GUI; I-V curve; LabVIEW; MPPT algorithms; P-V curve; PV cell modelling tool; adaptive photovoltaic cell simulation; cumulative energy simulation; current-voltage curve; energy predictions; graphic user interface; maximum power point tracking simulation; power-voltage curve; simulation model optimisation; solar irradiation; temperature data; temperature profiles; Adaptation models; Databases; Hardware; MATLAB; Mathematical model; Resistance; Temperature measurement;
Conference_Titel :
NORCHIP, 2011
Conference_Location :
Lund
Print_ISBN :
978-1-4577-0514-4
Electronic_ISBN :
978-1-4577-0515-1
DOI :
10.1109/NORCHP.2011.6126721
