Parameters Extraction of Single Diode and Double Diode Models Using Analytical and Numerical Approach: A Comparative Study

Saadaoui, Driss; Elyaqouti, Mustapha; Assalaou, Khalid; Hmamou, D. Ben; Lidaighbi, Souad; Arjdal, El Hanafi; Choulli, Imade; Elhammoudy, Abdelfattah

doi:10.1080/02286203.2023.2226285

Cited by 5 publications

(1 citation statement)

References 119 publications

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“…Several techniques were proposed by researchers to determine these five intrinsic unknown parameters based on the equivalent circuit model. Among them numerical and analytical methods (4,5) are the traditional techniques. The analytical approach relies heavily on the data for short-circuit current, maximum power point voltage (V m ), maximum power point current (I m ), open-circuit voltage (V oc ).…”

Section: Introductionmentioning

confidence: 99%

A Compact Mathematical Modelling for Performance Evaluation of PV Module considering Single-Diode M odel

Singh,

Soong

2023

IJST

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Objective: To develop closed-form relation between current and voltage of PV module based on single-diode equivalent circuit under valid approximation. Methods: The behaviour of PV module under various operational conditions can be easily and accurately determined when the intrinsic parameters like series resistance, shunt resistance, photo current and ideality factor are accurately modelled. Therefore, it is required to develop a mathematical model that must be compact and accurate to provide new insights into the electrical performance of the module faster. This paper presents a simple, compact, and precise mathematical model of these intrinsic parameters which enable high-speed and accurate predictions of the electrical characteristics of the commercially available PV module. Findings: The proposed model shows an excellent matching with experimental results only for V

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Section: Introductionmentioning

confidence: 99%

A Compact Mathematical Modelling for Performance Evaluation of PV Module considering Single-Diode M odel

Singh,

Soong

2023

IJST

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Grey wolf‐based heuristic methods for accurate parameter extraction to optimize the performance of PV modules

Celtek,

Kul,

Singla

et al. 2024

IET Renewable Power Gen

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Parameterprediction for PV solar cells plays a crucial role in controlling andoptimizing the performance of PV modules. In this study, the parameter prediction of a four‐diode PV model wascarried out using the Improved Grey Wolf Optimization (IGWO) algorithm, whichbuilds upon the Grey Wolf Optimization (GWO) algorithm. The parameters requiredfor the four‐diode PV model were optimized based on a predefined objectivefunction. Subsequently, the obtained data were compared with the data from RTCFrance Solar Cell to validate the accuracy and reliability of the optimizationresults. The evaluation of the optimization results revealed that the SumSquare Error (SSE) values for PSOGWO, AGWOCS, GWOCS, and GWO were 3.96E‐05, while the MSE value for IGWO was 3.6309E‐05. These findings clearly demonstratethat the proposed IGWO algorithm outperforms the other algorithms used in thestudy, based on the minimized SSE values. This study emphasizes the importanceof parameter prediction in optimizing PV performance, and it contributes to thefield by introducing the novel IGWO algorithm for the four‐diode PV model. Thealgorithm's superior performance, as demonstrated through extensive testing andcomparison with existing algorithms, validates its efficacy in accuratelypredicting the parameters for the PV solar cell model.

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A Comparative Study on Accurate Parameter Estimation of Solar Photovoltaic Models Using Metaheuristic Optimization Algorithms

Yesilbudak

2023

Electric Power Components and Systems

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Parameters Extraction of Single Diode and Double Diode Models Using Analytical and Numerical Approach: A Comparative Study

Cited by 5 publications

References 119 publications

A Compact Mathematical Modelling for Performance Evaluation of PV Module considering Single-Diode M odel

A Compact Mathematical Modelling for Performance Evaluation of PV Module considering Single-Diode M odel

Grey wolf‐based heuristic methods for accurate parameter extraction to optimize the performance of PV modules

A Comparative Study on Accurate Parameter Estimation of Solar Photovoltaic Models Using Metaheuristic Optimization Algorithms

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