Gradient-based and multi-innovation gradient-based iterative algorithms for single-diode photovoltaic cell models

2021 ◽  
Author(s):  
Junwei Wang ◽  
Yan Ji ◽  
Haibo Liu
Keyword(s):  
Iterative Algorithms ◽  
Photovoltaic Cell ◽  
Cell Models ◽  
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

AN INVESTIGATION OF GRADIENT-BASED RECONSTRUCTION ALGORITHMS FOR STATISTICAL PET TRANSMISSION IMAGING

2003 ◽  
Vol 15 (05) ◽  
pp. 179-185
Author(s):  
MING-YUE CHANG ◽  
CHING-HAN HSU
Keyword(s):  
Statistical Model ◽  
Conjugate Gradient ◽  
Iterative Algorithms ◽  
Preconditioned Conjugate Gradient ◽  
Reconstruction Algorithms ◽  
Steepest Ascent ◽  
Transmission Imaging ◽  
Transmission Data ◽  
Gradient Based ◽  
Phantom Studies

For PET transmission imaging, the conventional iterative algorithms based on expectation maximization type algorithms, could not effectively converge to optimal image solution. In this study, we suggest a statistical model PET transmission data, and then investigate a class of gradient-based optimization algorithms for transmission image reconstruction including steepest ascent, conjugate gradient, and preconditioned conjugate gradient. From phantom studies, the preconditioned conjugate algorithms can converge to good image results within limited number of iteration. Combined with the suggested statistical model of transmission data, the preconditioned conjugate algorithms can also produce attenuation maps with accurate linear attenuation coefficients for clinical data.

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.

An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models

2019 ◽  
Vol 179 ◽  
pp. 362-372 ◽  
Author(s):  
Rabeh Abbassi ◽  
Abdelkader Abbassi ◽  
Ali Asghar Heidari ◽  
Seyedali Mirjalili
Keyword(s):  
Photovoltaic Cell ◽  
Parameters Identification ◽  
Cell Models
Sign in / Sign up

Export Citation Format

Share Document