Shockley’s Equation Fit Analyses for Solar Cell Parameters from I-V Curves

Diantoro, Markus; Suprayogi, Thathit; Hidayat, Arif; Taufiq, Ahmad; Fuad, Abdulloh; Suryana, Risa

doi:10.1155/2018/9214820

Cited by 49 publications

(33 citation statements)

References 24 publications

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“…The exponential term exp(I sc R s /nN s V t ), in the denominators of Equations ( 13and (15)) can be omitted, as it has insignificant value compared to the other exponential terms in the respective denominators. Therefore, Equations ((13) and (15)) can be written as…”

Section: Ideality Factor (N) Dependence On Rs and Rshmentioning

confidence: 99%

“…A single diode model of a solar system has been studied for decades since it offers an elaborate, simple and reliable analysis of the current-voltage characteristics of solar cells [12] [13] [14]. The model requires extremely thorough and careful computation of I ph , I o , n, R s and R sh parameters that are based on the equivalent circuit analysis using Schottky's diode equation [15].…”

Section: Introductionmentioning

confidence: 99%

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A Simplified Simulation Procedure and Analysis of a Photovoltaic Solar System Using a Single Diode Model

Ndegwa¹,

Ayieta²,

Simiyu³

et al. 2020

JPEE

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A single diode model for a photovoltaic solar module is the most ideal and quick way of analyzing the module characteristics before implementing them in a solar plant. Solar modules manufacturers provide information for three critical points that are essential in I-V, P-V or P-I curves. In this study, we propose four separate simulation procedures to estimate the five-model parameters of an analogous single diode equivalent circuit by utilizing three cardinal points of the photovoltaic module I-V curve, described from experimental data using a solar simulator and manufacturer's datasheet. The main objective is to extract and use the five unknown parameters of a single diode model to describe the photovoltaic system using I-V ad P-V plots under different environmental conditions. The most influential parameters that greatly alter the cardinal points defined at short circuit point (SCP), the maximum power point (MPP) and the open circuit point(OCP) are the ideality factor (n) and the diode saturation current (I o). For a quick and fast convergence, we have determined the optimal ideality factor (n o) and optimal saturation current (I oopt) as the primary parameters by first assuming the optimal values How to cite this paper:

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Section: Ideality Factor (N) Dependence On Rs and Rshmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Simplified Simulation Procedure and Analysis of a Photovoltaic Solar System Using a Single Diode Model

Ndegwa¹,

Ayieta²,

Simiyu³

et al. 2020

JPEE

View full text Add to dashboard Cite

show abstract

“…In the sense of optimization problem for accurate estimation, the error function for the SCPIP can be transformed into equations (5) and (6) for the SD and DD, respectively. The X in these equations represents the decision variables to be optimized for the SCPIP, where Table 1 shows the descriptions of the decision variables and their lower and upper bounds for the SD and DD models [22,27,36].…”

Section: Parameter Estimation Problemmentioning

confidence: 99%

“…Therefore, it is vital to identify the parameters of solar cells or modules based on nonlinear mathematical models. Among a variety of existing models in the literature, the main ones are the single-diode model (SD), the double-diode model (DD), and the PV module model [4][5][6]. The problem of extracting the parameters of solar cells from the experimental data is called the solar cell parameter identification problem (SCPIP) in literature.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Electromagnetic Field Optimization Algorithm for the Solar Cell Parameter Identification Problem

Küçükoğlu

2019

International Journal of Photoenergy

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Solar cell parameter identification problem (SCPIP) is one of the most studied optimization problems in the field of renewable energy since accurate estimation of model parameters plays an important role to increase their efficiency. The SCPIP is aimed at optimizing the performance of solar cells by estimating the best parameter values of the solar cells that produce an accurate approximation between the current vs. voltage (I−V) measurements. To solve the SCPIP efficiently, this paper introduces an adaptive variant of the electromagnetic field optimization (EFO) algorithm, named adaptive EFO (AEFO). The EFO simulates the attraction-repulsion mechanism between particles of electromagnets having different polarities. The main idea behind the EFO is to guide electromagnetic particles towards global optimum by the attraction-repulsion forces and the golden ratio. Distinct from the EFO, the AEFO searches the solution space with an adaptive search procedure. In the adaptive search strategy, the selection probability of a better solution is increased adaptively whereas the selection probability of worse solutions is reduced throughout the search progress. By employing the adaptive strategy, the AEFO is able to maintain the balance between exploration and exploitation more efficiently. Further, new boundary control and randomization procedures for the candidate electromagnets are presented. To identify the performance of the proposed algorithm, two different benchmark problems are taken into account in the computational studies. First, the AEFO is performed on global optimization benchmark functions and compared to the EFO. The efficiency of the AEFO is identified by statistical significance tests. Then, the AEFO is implemented on a well-known SCPIP benchmark problem set formed as a result of real-life physical experiments based on single- and double-diode models. To validate the performance of the AEFO on the SCPIP, extensive experiments are carried out, where the AEFO is tested against the original EFO, AEFO variants, and novel metaheuristic algorithms. Results of the computational studies reveal that the AEFO exhibits superior performance and outperforms other competitor algorithms.

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“…Firefly algorithm has applied in [12] to predict the parameters. A Shockley's equation based solar cell I-V curve fitting has presented in [13]. The proposed method, which has a multicultural hybrid mutation in the Evolutionary programming (MHMEP), explored the real value landscapes in the better manner, has shown the high accuracy to parameterize the single diode model of a commercial solar cell.…”

Section: Introductionmentioning

confidence: 99%

Parameterization of Solar Cell Model Using Multiculture & Hybrid Mutation Based Evolutionary Programming

Sridhar¹,

Ramrao²,

Singh³

2018

IJET

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In this paper, parameterization of the single diode model for solar cell has presented. The problem of obtaining the optimal parameter has transformed as an optimization problem where individual absolute error has minimized by hybrid mutation strategy in the Evolutionary programming. Hybridization has given between Gaussian mutation strategy and Cauchy mutation strategy to obtain the better offspring. To increase the reliability of the solution, two stages based a multiculture architecture has proposed. On the first stage, a multi-population strategy has applied to form a multiculture environment, where each population evolved independently to explore the solution domain.This stage will prevent the solution to trap in the local minima. In the second stage, evolved population from first stage combine and members having high fitness are selected to form a new population of the same size as the individual population in the first stage. This second stage population evolved further to meet the final objective. The performance of the proposed method has evaluated over a 57mm diameter commercial solar cell. The obtained performance has compared with results available in current literature where various other approaches like, Levenberg–Marquardt with Simulated annealing, Global Grouping-based Harmony Search, Artificial Bee Swarm Optimization, Chaotic Particle Swarm Optimization, Differential Evolution, etc. have considered. The proposed solution has delivered the minimum error in comparison to other methods and very closer to the experimental data.

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Shockley’s Equation Fit Analyses for Solar Cell Parameters from I-V Curves

Cited by 49 publications

References 24 publications

A Simplified Simulation Procedure and Analysis of a Photovoltaic Solar System Using a Single Diode Model

A Simplified Simulation Procedure and Analysis of a Photovoltaic Solar System Using a Single Diode Model

Adaptive Electromagnetic Field Optimization Algorithm for the Solar Cell Parameter Identification Problem

Parameterization of Solar Cell Model Using Multiculture & Hybrid Mutation Based Evolutionary Programming

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