Title :
PV module characterization using Q-R decomposition based on the least square method
Author :
Teng, Kien F. ; Wu, Ping
Author_Institution :
Dept. of Electr. Eng., Mississippi State Univ., MS, USA
fDate :
2/1/1989 12:00:00 AM
Abstract :
The determination of solar cell parameters (I-V characteristic) from experimental data was achieved by using the Q -R decomposition technique based on the least squares method, where all data points were considered. The algorithm used a three-parameter equation transformed from the original cell equation of five parameters. This method could be used to analyze the I-V characteristics of photovoltaic (PV) modules of various technologies under the natural conditions of implementation, and to help to establish the best sizing of a PV system and the best adaptation of a PV system to its environment
Keywords :
least squares approximations; solar cells; I-V characteristic; PV module characterization; Q-R decomposition; algorithm; least square method; sizing; solar cell arrays; solar cell parameters; Employee welfare; Helium; Instruments; Iterative algorithms; Iterative methods; Least squares methods; Nonlinear equations; Optimization methods; Photovoltaic cells; Temperature dependence;
Journal_Title :
Industrial Electronics, IEEE Transactions on