The effects of noises on metaheuristic algorithms applied to the PV parameter extraction problem

Fébba, Davi; Bortoni, Edson C.; Oliveira, Adhimar Flávio; Rubinger, R. M.

doi:10.1016/j.solener.2020.02.093

Cited by 19 publications

(17 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To compensate for the voltage-current implicit coupling, the lambert W function is obtained. Because of its considerable level of accuracy, the Lambert W function is obtained to optimally determine the parameters of the SD and DD PV models, particularly at heterogeneous operating temperatures [26], [88], [89], [102]. Therefore, the output currents of the SD and DD PV models utilizing the Lambert W function may be given by the following: For the SD PV model: (10) where (11) For the DD PV model: (12) where (13) (14)…”

Section: Lambert W Function Methodsmentioning

confidence: 99%

“…The A and S have high-dense performance, but they can easily approach due to the low dispersion. The S and A can be modeled as follows: (26) where is a randomly number chosen to distinguish between the A and S operators.…”

Section: Exploitation Phasementioning

confidence: 99%

“…In addition, the control settings, if exist, should be fine-tuned [25]. Finally, the noise and nonlinearity may affect the performance of these methods marginally [26]. The SD and DD PV models are the most frequently used in the literature, and their success is heavily reliant on the parameters that are required to be optimally extracted [24].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

et al. 2022

View full text Add to dashboard Cite

Section: Lambert W Function Methodsmentioning

confidence: 99%

Section: Exploitation Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

et al. 2022

View full text Add to dashboard Cite

“…This comprehensive literature research is conducted as a source of knowledge and validation complemented by a systematic review of the modeling, performance enhancement techniques, and optimization of these systems. Some works related to the application of metaheuristic algorithms in solar systems were reported earlier, for instance, the use of these techniques in PV parameter estimation, identification, and extraction problems [25][26][27][28][29]. However, this paper is the first-ever attempt to present the recent trends on the applications of metaheuristic techniques in SAH optimization to a wide audience.…”

Section: Introductionmentioning

confidence: 97%

Applications of Metaheuristic Algorithms in Solar Air Heater Optimization: A Review of Recent Trends and Future Prospects

Niyonteze

Zou

Asemota

et al. 2021

International Journal of Photoenergy

View full text Add to dashboard Cite

A transition to solar energy systems is considered one of the most important alternatives to conventional fossil fuels. Until recently, solar air heaters (SAHs) were among the other solar energy systems that have been widely used in various households and industrial applications. However, the recent literature reveals that efficiencies of SAHs are still low. Some metaheuristic algorithms have been used to enhance the efficiencies of these SAH systems. In the paper, we do not only discuss the techniques used to enhance the performance of SAHs, but we also reviewed a majority of published papers on the applications of SAH optimization. The metaheuristic algorithms include simulated annealing (SA), particle swarm optimization (PSO), genetic algorithm (GA), artificial bee colony (ABC), teaching-learning-based optimization (TLBO), and elitist teaching-learning-based optimization (ETLBO). For this research, it should be noted that this study is mostly based on the literature published in the last ten years in good energy top journals. Therefore, this paper clearly shows that the use of all six proposed metaheuristic algorithms results in significant efficiency improvements through the selection of the optimal design set and operating parameters for SAHs. Based on the past literature and on the outcomes of this paper, ETLBO is unquestionably more competitive than ABC, GA, PSO, SA, and TLBO for the optimization of SAHs for the same considered problem. Finally, based on the covered six state-of-the-art metaheuristic techniques, some perspectives and recommendations for the future outlook of SAH optimization are proposed. This paper is the first-ever attempt to present the current developments to a large audience on the applications of metaheuristic methods in SAH optimization. Thus, researchers can use this paper for further research and for the advancement of the proposed and other recommended algorithms to generate the best performance for the various SAHs.

show abstract

“…In addition, the control settings, if exist, should be fine-tuned [24]. Finally, the noise and nonlinearity may affect the performance of these methods marginally [25]. The SD and DD PV models are the most frequently used in the literature, and their success is heavily reliant on the parameters that are required to be optimally extracted [23].…”

Section: Introductionmentioning

confidence: 99%

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

et al. 2021

View full text Add to dashboard Cite

The effects of noises on metaheuristic algorithms applied to the PV parameter extraction problem

Cited by 19 publications

References 50 publications

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

Applications of Metaheuristic Algorithms in Solar Air Heater Optimization: A Review of Recent Trends and Future Prospects

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

Contact Info

Product

Resources

About