On the Comprehensive Parametrization of the Photovoltaic (PV) Cells and Modules

Hejri, Mohammad; Mokhtari, Hossein

doi:10.1109/jphotov.2016.2617038

Cited by 61 publications

(44 citation statements)

References 44 publications

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“…Model [4] also exhibits similar performance, while the remaining models are less accurate in CC-R. The mismatch portions of models [7,12,13] are highlighted in Figure 8. The window of MPP region is represented next, in which the proposed model perfectly adopts the curvature nature of I-V curve and comprehensively follows the Ref.…”

Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 90%

“…Matlab/Simulink environment is used to simulate the proposed model and numerous recently proposed models [4,7,12,13]. The polycrystalline technology-based PV module of type Kyocera 200GT is selected [24].…”

Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 99%

“…The thermal voltage (V T ) of the module is equal to N ss × nkT/q, in which N ss represents the number of series connected cells in a module, q is the electron charge (1.60217646 × 10 −19 C), and k is the Boltzmann constant (1.3806503 × 10 −23 J/K), while n states the diode ideality factor. The fundamental relation (1) of the single-diode model demands five parameters to be evaluated [7,8], in which the introduction of R s and R p resistances transforms the ideal model into a practical model. Naturally, correct and sound estimations of these parameters are vital to match the behavior of the practical PV modules.…”

Section: Introductionmentioning

confidence: 99%

“…A reverse identification approach is employed in [7] to extract the key parameters through transitional formulas. The solution is quite effective compared to previous models [10,11]; however, it requires the Newton-Raphson method and the least square method, making it an iterative solution.…”

Section: Introductionmentioning

confidence: 99%

“…Since R p is estimated through simplified assumption, such a solution is not effective at low irradiance conditions [7]. An attempt is being made to produce a simple and straightforward solution in [3], which utilizes five explicit expressions.…”

Section: Introductionmentioning

confidence: 99%

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Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

et al. 2018

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Abstract:The correct approximation of parallel resistance (R p ) and series resistance (R s ) poses a major challenge for the single diode model of the photovoltaic module (PV). The bottleneck behind the limited accuracy of the model is the static estimation of resistive parameters. This means that R p and R s, once estimated, usually remain constant for the entire operating range of the same weather condition, as well as for other conditions. Another contributing factor is the availability of only standard test condition (STC) data in the manufacturer's datasheet. This paper proposes a single-diode model with dynamic relations of R p and R s . The relations not only vary the resistive parameters for constant/distinct weather conditions but also provide a non-iterative solution. Initially, appropriate software is used to extract the data of current-voltage (I-V) curves from the manufacturer's datasheet. By using these raw data and simple statistical concepts, the relations for R p and R s are designed. Finally, it is proved through root mean square error (RMSE) analysis that the proposed model holds a one-tenth advantage over numerous recently proposed models. Simultaneously, it is low complex, iteration-free (0 to voltage in maximum power point V mpp range), and requires less computation time to trace the I-V curve.

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Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 90%

Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

et al. 2018

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An accurate parameter estimation approach to modeling of solar photovoltaic module using hybrid grey wolf optimization

Janani

Babu

Vijayakumar

2022

Optim Control Appl Methods

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This paper proposes a hybrid method for an accurate parameter estimation of the solar photovoltaic (PV) module. The proposed method combines the features of analytical as well as the optimization technique to ensure the speed and accuracy in computation. Two‐diode model consist of seven unknown parameters namely the photocurrent (IPV$$ {I}_{\mathrm{PV}} $$), reverse saturation current of diode D1$$ {D}_1 $$ and D2$$ {D}_2 $$ (I01$$ {I}_{01} $$ and I02$$ {I}_{02} $$), series resistance (Rs$$ {R}_s $$), shunt resistance (Rsh$$ {R}_{\mathrm{sh}} $$), diode ideality factor for diode D1$$ {D}_1 $$ and D2$$ {D}_2 $$ (A1$$ {A}_1 $$ and A2$$ {A}_2 $$). First five parameters are analytically determined with the help of area under the curve, while the remaining two are optimally calculated by using the Grey Wolf Optimization technique. The results obtained by simulation are verified with the experimental data of different PV module and the error is calculated. The superiority of the proposed estimation approach is compared with the recent literature and the results are presented. The proposed model is very useful for the solar PV module designers and simulators to realize its physical characteristics.

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