An efficient photovoltaic modeling using an Adaptive Fractional-order Archimedes Optimization Algorithm: Validation with partial shading conditions

Detecting the maximum power point in the photovoltaic (PV) system under normal and shaded weather conditions with high accuracy is vital to save the harvested power. Providing a robust model that emulates the physical behavior of a combination of particular solar modules is the core of designing a r...

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Vydáno v:Solar energy Ročník 236; s. 26 - 50
Hlavní autoři: Yousri, Dalia, Shaker, Yomna, Mirjalili, Seyedali, Allam, Dalia
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Ltd 01.04.2022
Pergamon Press Inc
Témata:
Accuracy
Adaptive algorithms
Algorithms
Archimedes Optimization Algorithm
Arrays
Artificial Intelligence
Curve fitting
Double diode PV model
Environmental conditions
Fractional calculus
Mathematical models
Maximum power
Optimization
Optimization algorithms
Optimization techniques
Parameter identification
Partial shading
Photovoltaic cells
Photovoltaics
PV parameters estimation
Reliability analysis
Robustness
Shading
Single diode PV model
Solar cells
Solar energy
Statistical analysis
Strings
Weather
Single diode PV model
PV parameters estimation
Double diode PV model
Artificial Intelligence
Partial shading
Archimedes Optimization Algorithm
Fractional calculus
Optimization
ISSN:0038-092X, 1471-1257
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Shrnutí:Detecting the maximum power point in the photovoltaic (PV) system under normal and shaded weather conditions with high accuracy is vital to save the harvested power. Providing a robust model that emulates the physical behavior of a combination of particular solar modules is the core of designing a reliable PV system. As the PV models’ parameters are not provided in the manufacturing datasheets, there is a persistent need to introduce an efficient and competent tool that provides the optimal parameters of the PV models. Therefore, this paper presents a novel strategy depending on a novel fractional calculus-based optimization technique to detect the optimal parameters of the PV models. The identified parameters globally fulfilled all tested shading conditions of different types and configurations of PV modules, strings, and arrays to verify the optimizer reliability and efficiency. A novel optimization algorithm called an Adaptive Fractional-order Archimedes Optimization Algorithm (A-FAOA) is proposed to identify the single and double diode model parameters for several PV solar cells/modules under various environmental conditions. The proposed algorithm uses a fractional-calculus memory perspective to enhance the exploration stage of the basic Archimedes Optimization Algorithm. In addition, the two-dimensional-Henon map is adopted in the algorithm to tune its parameters adaptively in an attempt to achieve a smooth transition between the exploration and exploitation phases. The developed technique is tested on several experimental datasets for several PV cells/modules under diverse environmental conditions. The proposed algorithm is compared with the recent literature based on statistical analysis and non-parametric tests. Moreover, the fitting curves and the values of error at the maximum power points are provided to demonstrate the superiority of the proposed method. For further evaluation of the reliability of the identified parameters, several PV systems based on the studied modules are implemented under uniform and partial shading conditions to affirm the accuracy of the identified parameters in representing a complete connected system under several environmental phenomena. The considered PV systems include three different strings (3x1, 6x1, 9x1) and three different arrays (3 × 2, 6 × 3, 9 × 9). High accuracy, robust performance, and minor deviation between the experimental and estimated curves are evident in the results. •Proposing an optimal modeling of a large integrated PV array system.•Proposing a novel strategy to detect the optimal parameters of the photovoltaic models.•Proposing a new Adaptive Fractional-order Archimedes Optimization Algorithm (A-FAOA).•Optimizing single and double diode model parameters for several photovoltaic solar cells/modules.•Considering different partial shading condition in this large system.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2021.12.063