Gradient-based and multi-innovation gradient-based iterative identification methods for dual-diode photovoltaic cell models

2021 ◽  
Author(s):  
Xiangxiang Meng ◽  
Yan Ji
Keyword(s):  
Photovoltaic Cell ◽  
Cell Models ◽  
Iterative Identification ◽  
Identification Methods ◽  
Gradient Based

Research on Photovoltaic Cell Models: A Review

2021 ◽  
Author(s):  
Fan Jingxun ◽  
Li Shaowu ◽  
Zhu Xianping ◽  
Li Yan
Keyword(s):  
Photovoltaic Cell ◽  
Cell Models

scholarly journals Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1029 ◽  
Author(s):  
Ivan Tolić ◽  
Mario Primorac ◽  
Kruno Miličević
Keyword(s):  
Measurement Uncertainty ◽  
Fill Factor ◽  
Short Circuit ◽  
Renewable Energy Sources ◽  
Uncertainty Propagation ◽  
Short Circuit Current ◽  
Photovoltaic Cell ◽  
Open Circuit ◽  
Cell Models ◽  
Global Irradiance

This paper presents measurement uncertainty propagation through four basic photovoltaic cell models: One-diode model without resistances, with one resistance and with two resistances and two-diode model with two resistances. The expressions for the output current of all photovoltaic cell models is presented as a function of global irradiance G and temperature T. Next, the expressions for all fill factor parameters: short-circuit current, open-circuit voltage, current and voltage at the maximum power point, depending on the global irradiance G and temperature T are derived as well. For each parameter, Monte Carlo simulations to calculate the measurement uncertainty of the parameter are performed and the results were used as input values for the calculation of measurement uncertainty of fill factor. Practical calculations are performed in laboratory for renewable energy sources located on 45°32′ N and 18°44′ E. Final fill factor calculations are compared for three different module technologies.

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