Optimal parameters estimation and modelling of photovoltaic modules using analytical method

Elkholy, A.; El‐Ela, Adel A. Abou

doi:10.1016/j.heliyon.2019.e02137

Cited by 65 publications

(32 citation statements)

References 54 publications

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“…It can be seen that the curve has a hyperbolic shape, with a minimum value of the nondimensional RMSE at a = 1.18. This hyperbolic shape was also confirmed in a recent work by Elkholy and Abou El-Ela [88].…”

Section: On the Best Value For The Ideality Factorsupporting

confidence: 84%

Analytical Modeling of Current-Voltage Photovoltaic Performance: An Easy Approach to Solar Panel Behavior

et al. 2021

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In this paper, we propose very simple analytical methodologies for modeling the behavior of photovoltaic (solar cells/panels) using a one-diode/two-resistor (1-D/2-R) equivalent circuit. A value of a = 1 for the ideality factor is shown to be very reasonable for the different photovoltaic technologies studied here. The solutions to the analytical equations of this model are simplified using easy mathematical expressions defined for the Lambert W-function. The definition of these mathematical expressions was based on a large dataset related to solar cells and panels obtained from the available academic literature. These simplified approaches were successfully used to extract the parameters from explicit methods for analyzing the behavior of solar cells/panels, where the exact solutions depend on the Lambert W-function. Finally, a case study was carried out that consisted of fitting the aforementioned models to the behavior (that is, the I-V curve) of two solar panels from the UPMSat-1 satellite. The results show a fairly high level of accuracy for the proposed methodologies.

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Section: On the Best Value For The Ideality Factorsupporting

confidence: 84%

Analytical Modeling of Current-Voltage Photovoltaic Performance: An Easy Approach to Solar Panel Behavior

et al. 2021

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“…Eq. (1) present a single diode current output model [ 61 ]:

Where:

is an output current of cell [A],

an output voltage of cell [V],

a photoelectric current [A],

a reverse diode saturation currents [μA],

the ideality factor of diode, R the resistance series [Ω],

the resistance shunt [Ω] and

thermal voltage [V] given by the expression of Eq. (2) .…”

Section: General Modelmentioning

confidence: 99%

A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules

Gnetchejo

Essiane

Dadjé

et al. 2021

Heliyon

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Parameters extraction is instrumental to standard PV cells design. Reports indicates that heuristic algorithms are the most effective methods for accurately determinining the values of parameters. However, local concentration is against recent heuristic methods, and they are inhibited producing optimal results. This paper seeks to show that combining the heuristics algorithms with the Newton Raphson method can considerably increased the accuracy of results. An inspired artifact technique from the drone squadron simulation from control center is proposed for the extraction of the best constitutive parameters. This study equally provides clarifications on the approaches recently reported and proposed to build objective function. Furthermore, comparative evaluation of the current ten best heuristics algorithms that are published in the PV estimation domain is also undertaken. Moreover, this study investigates the convergence of algorithms when points of the number of current-voltage characteristics are varied. The results from this study highlight the differences between the two formulation, and it shows the best formulation accuracy. The results obtained from seven study cases that are considered in this present study, with the combined Newton Raphson performance method and Drone Squadron optimisation, were employed to extract precise PV module parameters.The study of the numbers of points reveals that the algorithm converges and is more precise when the numbers of points of the I-V characteristic are reduced. However, if these points are minimal, the algorithm will be hindered from returning optimal results.

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“…The former is the easiest in implementation besides it requires less computational effort. It employs the current-voltage (I-V) and power-voltage (P-V) data curves in addition to selective data from the PV cell/module datasheet for the mathematical formulation of the PV parameters estimation problem [6][7][8][9]. However, the analytical methods are based on simplifications of used mathematical formulas which will affect accuracy significantly.…”

Section: Introductionmentioning

confidence: 99%

A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models

et al. 2021

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In this paper, a modified version of a recent optimization algorithm called gradient-based optimizer (GBO) is proposed with the aim of improving its performance. Both the original gradient-based optimizer and the modified version, MGBO, are utilized for estimating the parameters of Photovoltaic models. The MGBO has the advantages of accelerated convergence rate as well as avoiding the local optima. These features make it compatible for investigating its performance in one of the nonlinear optimization problems like Photovoltaic model parameters estimation. The MGBO is used for the identification of parameters of different Photovoltaic models; single-diode, double-diode, and PV module. To obtain a generic Photovoltaic model, it is required to fit the experimentally obtained data. During the optimization process, the unknown parameters of the PV model are used as a decision variable whereas the root means squared error between the measured and estimated data is used as a cost function. The results verified the fast conversion rate and precision of the MGBO over other recently reported algorithms in solving the studied optimization problem.

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Optimal parameters estimation and modelling of photovoltaic modules using analytical method

Cited by 65 publications

References 54 publications

Analytical Modeling of Current-Voltage Photovoltaic Performance: An Easy Approach to Solar Panel Behavior

Analytical Modeling of Current-Voltage Photovoltaic Performance: An Easy Approach to Solar Panel Behavior

A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules

A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models

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