Currently, solar energy is one of the leading renewable energy sources that help support energy transition into decarbonized energy systems for a safer future. This work provides a comprehensive review of mathematical modeling used to simulate the performance of photovoltaic (PV) modules. The meteorological parameters that influence the performance of PV modules are also presented. Various deterministic and probabilistic mathematical modeling methodologies have been investigated. Moreover, the metaheuristic methods used in the parameter extraction of diode models of the PV equivalent circuits are addressed in this article to encourage the adoption of algorithms that can predict the parameters with the highest precision possible. With the significant increase in the computational power of workstations and personal computers, soft computing algorithms are expected to attract more attention and dominate other algorithms. The different error expressions used in formulating objective functions that are employed in extracting the parameters of PV models are comprehensively expressed. Finally, this work aims to develop a comprehensive layout for the previous, current, and possible future areas of PV module modeling.

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A Comprehensive Review of Photovoltaic Modules Models and Algorithms Used in Parameter Extraction

This paper deals with a comparison between different sizing techniques for off-grid microgrid systems (M G). Indeed, they can be divided in firstly, analytical methods, which consist on an optimal development analysis. Secondly, iterative methods that based on Loss of power supply probability (LPSP), Deficiency of power supply probability (DPSP), Relative Excess Power Generated (REPG), Energy Cost (EC) and Total Net Present Cost (TNPC). Thirdly, artificial methods such as Genetic algorithm (GA) and Particle swarm optimization (PSO). To demonstrate the effectiveness of one of these techniques (DPSP, REPG, TNPC, EC) in sizing problem, a PV -battery has been studied.

A comparison of optimal sizing methods for Microgrid applications and description of a proposed iterative algorithm

A Novel hybrid analytical/iterative method to extract the single-diode model's parameters using Lambert's W-function

A Simple and Efficient Determination of the Ideality Factor of Solar Cells and Modules from the Knee Point of the Shunt Resistance Curve

A Novel Numerical Method for Estimation the Photovoltaic Cells/Modules Parameters Based on Dichotomy Method

Building an accurate mathematical model of photovoltaic modules is an essential issue for providing reasonable analysis, control and optimization of photovoltaic energy systems. Therefore, this study provides a new accurate model of photovoltaic Panels based on single diode Model. In this case, the proposed model is the link between two models which are the ideal model and the resistance network. All parameters are estimated based on hybrid Analytical/Numerical approach: three parameters photocurrent, reverse saturation current and ideality factor are obtained using an Analytical approach based on the datasheet provided by the manufacturer under Standard Test Conditions. The series and shunt resistances are obtained by using a Numerical approach similar to the Villalva's method in order to achieve the purpose of modeling the resistance network part. Our model is tested with data from the manufacturer of three different technologies namely polycrystalline, Mono-crystalline silicon modules and thin-film based on Copper Indium Diselenide, and for more accurate performance evaluation we are introducing the Average Relative Error and the Root Mean Square Error. The simulated Current-Voltage and Power-Voltage curves are in accordance with experimental characteristics, and there is a strong agreement between the proposed model and the experimental characteristics. The computation time is 0.23 s lower than those obtained using others approach, and all obtained results under real environment conditions are also compared with different models and indicated that the proposed model outperforms the others approach such as villalva’s and kashif’s method. 

A novel hybrid numerical with analytical approach for parameter extraction of photovoltaic modules

Dandelion Optimizer algorithm-based method for accurate photovoltaic model parameter identification

This review paper provides a comparative study between analytical and numerical approaches. The purpose is to estimate the unknown parameters of the single diode and dual diode models. Nine of the most common models are examined in depth, detailing the parameter calculated, the most important approximations characterizing each model, and the calculation process. The effectiveness of the methods studied is assessed under various temperatures and solar irradiation conditions for three types of PV modules using various technologies, such as single-crystalline (CS6V225M), multi-crystalline (CS6P265), and thin film (ST40). The quality of the models fitting to the measured data is assessed by statistical analysis. Results of the study indicate that(1) the temperature exhibits a fairly low impact on the key points of the I–V characteristics of the solar panel, particularly under short and open-circuit conditions, and that(2) the open-circuit voltage at low solar irradiance, as shown in I–V curves, is underestimated. The results of the simulation show that the performance in terms of accuracy varies from one technology to another and the same technology varies with the conditions of temperature and solar irradiation. It is expected that this work will be useful to update the knowledge in the field of PV modeling and simulation. 

Driss Saadaoui

Papers

A novel hybrid numerical with analytical approach for parameter extraction of photovoltaic modules

A Novel hybrid analytical/iterative method to extract the single-diode model's parameters using Lambert's W-function

A Novel Numerical Method for Estimation the Photovoltaic Cells/Modules Parameters Based on Dichotomy Method

Dandelion Optimizer algorithm-based method for accurate photovoltaic model parameter identification

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