Solar cell parameters extraction based on single and double-diode models: A review

Humada, Ali M.; Hojabri, Mojgan; Mekhilef, Saad; Hamada, Hussein M.

doi:10.1016/j.rser.2015.11.051

Cited by 463 publications

(237 citation statements)

References 56 publications

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“…This parameter extraction can be carried out based on analytical or computational methods. A quite complete review of the different methods for fitting the equivalent circuit to the solar cell/panel behavior can be found in recent works by Jena and Ramana [1] and Humada et al [2].…”

Section: The Solar Cell/panel Equivalent Circuit Modelsmentioning

confidence: 99%

Analytical Calculation of Photovoltaic Systems Maximum Power Point (MPP) Based on the Operation Point

2017

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This work proposes a new analytical model to extract the 1-Diode/2-Resistor solar cell/panel equivalent circuit parameters. The methodology is based on a reduced amount of experimentally measured information: short-circuit current, the slope of the I-V curve at that point, the open-circuit voltage, and the current and voltage levels, together with the slope of the I-V curve at the instantaneous operation point. This procedure is specially designed to analyze the performance of autonomous photovoltaic systems, which are most of the primary sources for spacecraft power. Results show good agreement with experimental data. Furthermore, this methodology allows for fast and accurate I-V curve maximum power point (MPP) identification.

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Section: The Solar Cell/panel Equivalent Circuit Modelsmentioning

confidence: 99%

Analytical Calculation of Photovoltaic Systems Maximum Power Point (MPP) Based on the Operation Point

2017

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“…For example, solar cells are known to be subject to a series of power losses related to the metal grid's resistance, contacts and current-collecting wires [5,6]. To represent such resistive losses a lumped resistor may be added to the ideal circuit model, as illustrated in Figure 2.…”

Section: Single-diode Modelmentioning

confidence: 99%

“…This modified single-diode model is also known in the literature as the 5-p model, and is one of the most widely used approaches for modeling the behavior of PV cells [5,6].…”

Section: Of 25mentioning

confidence: 99%

“…Particularly, the photocurrent in a solar cell is not generated only by a single diode. In fact, the output current of a PV cell is more accurately modeled as a linear superposition of both, charge and diffusion effects, corresponding to multiple elementary diodes, consistently distributed along space-charge region of the solar cell [6]. As such, a more adequate representation of a PV cell's equivalent circuit is achieved by considering two Shockley diodes, D 1 and D 2 , in parallel to a current source and its respective lumped and shunt resistor R s and R p , respectively, as shown in Figure 4 [5].…”

Section: Double-diode Modelmentioning

confidence: 99%

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A Chaos-Embedded Gravitational Search Algorithm for the Identification of Electrical Parameters of Photovoltaic Cells

et al. 2017

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Solar energy is used worldwide to alleviate the daily increasing demands for electric power. Photovoltaic (PV) cells, which are used to convert solar energy into electricity, can be represented as equivalent circuit models, in which a series of electrical parameters must be identified in order to determine their operating characteristics under different test conditions. Intelligent approaches, like those based in population-based optimization algorithms like Particle Swarm Optimization (PSO), Genetic Algorithms (GAs), and Simulated Annealing (SA), have been demonstrated to be powerful methods for the accurate identification of such parameters. Recently, chaos theory have been highlighted as a promising alternative to increase the performance of such approaches; as a result, several chaos-based optimization methods have been devised to solve many different and complex engineering problems. In this paper, the Chaotic Gravitational Search Algorithm (CGSA) is proposed to solve the problem of accurate PV cell parameter estimation. To prove the feasibility of the proposed approach, a series of comparative experiments against other similar parameters extraction methods were performed. As shown by our experimental results, our proposed approach outperforms all other methods compared in this work, and proves to be an excellent alternative to tackle the challenging problem of solar cell parameters identification.

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“…Several numerical models have been developed to reproduce this curve at different conditions and illumination levels. Some of them are based on electrical circuits [1,2], partial differential equations or semiconductor equations [3,4], artificial intelligent technics [5,6], curve fitting [7,8], among others.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis to Determine Reliable One-Diode Model Parameters for Perovskite Solar Cells

et al. 2018

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Abstract:With the aim to determine the photo-generated current, diode saturation current, ideality factor, shunt, and series resistances related to the one-diode model for p-i-n planar perovskite solar cells, reference cells with active area of approximately 1 cm 2 and efficiencies ranging between 4.6 and 12.2% were fabricated and characterized at standard test conditions. To estimated feasible parameters, the mean square error between the I-V curve data of these cells and the circuital model results were minimized using a Genetic Algorithm combined with the Nelder-Mead method. When considering the optimization process solutions, a numerical sensitivity analysis of the error as a function of the estimated parameters was carried out. Based on the errors behavior that is showed graphically through maps, it was demonstrated that the set of parameters estimated for each cell were reliable, meaningful, and realistic, and being related to errors lower than 9.1 × 10 −9 . Therefore, these results can be considered as global solutions of the optimization process. Moreover, based on the lower errors obtained from the optimization process, it was possible to affirm that the one-diode model is suitable to model the I-V curve of perovskite solar cells. Finally, the estimated parameters suggested that the average ideality factor is close to 2 when the fill factor of the I-V curves is higher than 0.5. Lower fill factors corresponded to ideality that was higher than 3, linked to lower efficiencies, and high loses effects reflected on lower shunt resistances. Lower ideality factor of 1.4 corresponds to the best performing solar cells.

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Solar cell parameters extraction based on single and double-diode models: A review

Cited by 463 publications

References 56 publications

Analytical Calculation of Photovoltaic Systems Maximum Power Point (MPP) Based on the Operation Point

Analytical Calculation of Photovoltaic Systems Maximum Power Point (MPP) Based on the Operation Point

A Chaos-Embedded Gravitational Search Algorithm for the Identification of Electrical Parameters of Photovoltaic Cells

Numerical Analysis to Determine Reliable One-Diode Model Parameters for Perovskite Solar Cells

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