Analytical optimization of photovoltaic output with Lagrange Multiplier Method

Louzazni, Mohamed; Khouya, Ahmed; Al‐Dahidi, Sameer; Mussetta, Marco; Amechnoue, Khalid

doi:10.1016/j.ijleo.2019.163379

Cited by 17 publications

(2 citation statements)

References 42 publications

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“…However, this analytical model has been simplified by ignoring the effect of parallel and series resistances in calculating the current and voltage related to the highest power output. In 5 , Lagrange Multiplier Method (LMM) have been proposed for SDM/DDM to optimize power outputs of solar cell PV modules. In 6 , the crucial information were reduced from the datasheet of manufacturer where a bounding requirement for a zero-voltage state has been created using the power first derivative.…”

Section: Introductionmentioning

confidence: 99%

Electrical parameters extraction of PV modules using artificial hummingbird optimizer

El‐Sehiemy¹,

Shaheen²,

El‐Fergany³

et al. 2023

Sci Rep

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The parameter extraction of PV models is a nonlinear and multi-model optimization problem. However, it is essential to correctly estimate the parameters of the PV units due to their impact on the PV system efficiency in terms of power and current production. As a result, this study introduces a developed Artificial Hummingbird Technique (AHT) to generate the best values of the ungiven parameters of these PV units. The AHT mimics hummingbirds' unique flying abilities and foraging methods in the wild. The AHT is compared with numerous recent inspired techniques which are tuna swarm optimizer, African vulture’s optimizer, teaching learning studying-based optimizer and other recent optimization techniques. The statistical studies and experimental findings show that AHT outperforms other methods in extracting the parameters of various PV models of STM6-40/36, KC200GT and PWP 201 polycrystalline. The AHT’s performance is evaluated using the datasheet provided by the manufacturer. To highlight the AHT dominance, its performance is compared to those of other competing techniques. The simulation outcomes demonstrate that the AHT algorithm features a quick processing time and steadily convergence in consort with keeping an elevated level of accuracy in the offered solution.

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Section: Introductionmentioning

confidence: 99%

Electrical parameters extraction of PV modules using artificial hummingbird optimizer

El‐Sehiemy¹,

Shaheen²,

El‐Fergany³

et al. 2023

Sci Rep

View full text Add to dashboard Cite

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“…Several researchers utilized the umerical techniques for solving solar cell parameters problems, such as: the single-diode model used by Yin and Babu [11] to study the solar cell parameters were compared in terms of the number of unknown parameters, accuracy, and calculation time to support the advantages and disadvantages of each model. In accordance with the requirements of the optimization, Louzazni et al [12] presented the solar cell parameters for a single diode circuit based on the larange multiplier approach. To demonstrate the effectiveness of the suggested optimization strategy, computer simulations are used to show a realistic numerical example for several technologies.…”

Section: Introductionmentioning

confidence: 99%

Mathematical models for resolving the nonlinear formula for solar cell

Rasheed,

Alshalal,

Abdula Ashed

et al. 2024

IJEECS

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<span>Accurate representation of a photovoltaic solar cell requires a comprehensive assessment of modeling factors that are unique to the individual device being studied. In the context of the single diode model, it is necessary to ascertain five distinct parameters, namely Rs, Rsh, Iph, Io, and n. In general, analytical or numerical methods may be used to calculate these values. In this paper, two alternative iterative approaches to solving nonlinear problems in solar cells without temperature are described and analyzed. The new iterative approach has several instances that have been quantitatively tested. This novel approach can be seen as a potential option for solving nonlinear equations. Additionally, a comparison between the suggested method, classic chord formula (CCM), and predictor-corrector type reveals that it is better and has the lowest evaluation. This is supported by an examination of accuracy and efficiency (as evaluated by function evaluations) false position method (FPM).</span>

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