Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis

Sandrolini, Leonardo; Artioli, M.; Reggiani, Ugo

doi:10.1016/j.apenergy.2009.07.022

Cited by 215 publications

(98 citation statements)

References 25 publications

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“…In singe-diode model [2], there will be five unknown parameters;I ℎ , 01 , , ℎ .Analytical expressions for the extraction of the model parameters are described in J.C.H.Phang et al [3]. The unknown parameters can be calculated by using the following equations such as, …”

Section: Figure 2: I-v Characteristics Curvementioning

confidence: 99%

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Equivalent Circuit Model of Semiconducting Single Walled Carbon Nano Tube based Bulk Hetero Junction Organic Solar Cell in Comparison with Experimental Results

Swapna¹,

Rao²

2015

IJCA

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In this paper, the characteristics of organic bulk heterojunction solar cells have been designed and modeled using MATLAB R2010a version. Here, organic solar cell is considered as a diode and an equivalent circuit is developed with series and shunt resistances to obtain the I-V characteristics of the model. Non-linear equations are obtained in by solving the equivalent circuit model. These non-linear equations are solved using Newton-Raphson method. The theoretical results thus obtained are compared with practical results and an observation made is that are theoretical results are close to the results obtained from fabricated structure.

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Section: Figure 2: I-v Characteristics Curvementioning

confidence: 99%

“…The current-voltage relationship of a solar cell is described by a mathematical equation that is both implicit and nonlinear. Here, NewtonRaphson method is used to solve the implicit nonlinear equation of I-V relation [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Equivalent Circuit Model of Semiconducting Single Walled Carbon Nano Tube based Bulk Hetero Junction Organic Solar Cell in Comparison with Experimental Results

Swapna¹,

Rao²

2015

IJCA

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“…Hence, these techniques are easy to implement but more vulnerable to the accuracy of the few available data points. The latter techniques, including neural network [15,16], differential evolution (DE) [17], genetic algorithm [18], and particle swarm optimization (PSO) [19], etc., usually employ all the experimental data at various operating conditions to extract physical parameters, thus providing a higher confidence level of the extracted parameters. There are several studies about photovoltaic energy in Colombia [20][21][22][23][24] and this one is intended to improve the distributed energy analysis on buildings.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Applied to Estimate the Power Output of BIPV Systems

Aristizábal¹

2017

IOSR JCE

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“…The model also presents computation Many authors have proposed analytical procedures for determining the model parameters on the basis of the performance data usually provided by manufacturers . The identification of the parameters contained in the diode-based equivalent circuits has been also tackled exploring the possibility of using different procedures such as Lambert W-function, evolutionary algorithms, Padè approximants, genetic algorithms, cluster analysis, artificial neural networks, harmony search-based algorithms, small perturbations around the operating point and reduced forms [49][50][51][52][53][54][55][56][57][58][59][60][61][62][63]. Other authors have investigated some simplified versions of the one-diode equivalent circuit in order to obtain an adequate representation of the PV panel characteristics by means of a reduced number of model parameters.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Usability and Accuracy of the Simplified One-Diode Models for Photovoltaic Modules

2016

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Models for photovoltaic (PV) cells and panels, based on the diode equivalent circuit, have been widely used because they are effective tools for system design. Many authors have presented simplified one-diode models whose three or four parameters are calculated using the data extracted from the datasheets issued by PV panel manufactures and adopting some simplifying hypotheses and numerical solving techniques. Sometimes it may be difficult to make a choice among so many models. To help researchers and designers working in the area of photovoltaic systems in selecting the model that is fit for purpose, a criterion for rating both the usability and accuracy of simplified one-diode models is proposed in this paper. The paper minutely describes the adopted hypotheses, analytical procedures and operative steps to calculate the parameters of the most famous simplified one-diode equivalent circuits. To test the achievable accuracy of the models, a comparison between the characteristics of some commercial PV modules issued by PV panel manufacturers and the calculated current-voltage (I-V) curves, at constant solar irradiance and/or cell temperature, is carried out. The study shows that, even if different usability ratings and accuracies are observed, the simplified one-diode models can be considered very effective tools.

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Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis

Cited by 215 publications

References 25 publications

Equivalent Circuit Model of Semiconducting Single Walled Carbon Nano Tube based Bulk Hetero Junction Organic Solar Cell in Comparison with Experimental Results

Equivalent Circuit Model of Semiconducting Single Walled Carbon Nano Tube based Bulk Hetero Junction Organic Solar Cell in Comparison with Experimental Results

Artificial Neural Network Applied to Estimate the Power Output of BIPV Systems

Assessment of the Usability and Accuracy of the Simplified One-Diode Models for Photovoltaic Modules

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