Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches

Abbassi, Rabeh; Abbassi, Abdelkader; Jemli, Mohamed; Chebbi, Souad

doi:10.1016/j.rser.2018.03.011

Cited by 245 publications

(141 citation statements)

References 106 publications

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“…18 One of the most important requirements in maximizing the capacity of PV systems is to extract parameters of a solar cell/module. Although the current models are used as electrical circuits and can analyze mathematically, the identification of parameters is not just as simple because the structure of PV cells is described with the concepts of solid-state physics.…”

Section: Modelsmentioning

confidence: 99%

“…The PV technologies depend on various factors such as efficiency conversion and availability of solar radiation. 18,19,[21][22][23] There are two different types of models for a PV cell. 19 It seems that the most effective parameters of the efficiency of PV systems are physical parameters.…”

Section: Modelsmentioning

confidence: 99%

“…19 It seems that the most effective parameters of the efficiency of PV systems are physical parameters. 18,24,25 Extracting the parameters of PV cells is mainly related to the used different technologies, their size, illumination, and the operating conditions of temperature. 18,19,[21][22][23] There are two different types of models for a PV cell.…”

Section: Modelsmentioning

confidence: 99%

“…20 Based on many published works, the P-V and I-V curves, which are based on the diode model, can be used as direct indicators of performance of solar cell and modules. 18 Generally, by considering the diode model, five key parameters were extracted for PV cells/modules as basic indicators including short-circuit current I sc , the ideality factor of diode A, the open-circuit voltage V oc , the shunt resistance R sh , and the series resistance R s . The first type of model is a structural model that describes its mechanism based on the photovoltaic effect.…”

Section: Modelsmentioning

confidence: 99%

“…18,19,[21][22][23] There are two different types of models for a PV cell. 22,26,27 On the other hand, it seems that there are some other effective factors other than the above-mentioned ones including the photocurrent generated in Standard Test Conditions (STC) I ph , the dark (or leakage) saturation current I 0 , and the cell temperature T. 18,[28][29][30] Also, because of using an electrical model, two other parameters will be used in the models including the unit of electrical charge q (1.6 × 10 −19 C) and the Boltzmann constant κ (1.38 × 10 −23 J/K) and it seems that the number of extracted key parameters of the models can change to improve the accuracy in different generations. This sort of model investigates some physical concepts such as the distribution of charges, efficient depth of the cell, and few others.…”

Section: Modelsmentioning

confidence: 99%

See 4 more Smart Citations

Generation and combination of the solar cells: A current model review

Khatibi

Astaraei

Ahmadi

2019

Energy Science & Engineering

104

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Generally, first and second generations of photovoltaic (PV) cells are including mono‐crystalline silicon, amorphous silicon, and dye‐synthesized solar cells. Investigating the electrical current behavior of these sorts of PV cells shows that a modified multi‐ or single diode(s) model with shunt and series resistance can use as a good choice in a specific range of the current. For other constructions such as multi‐junction PV cells that consist of the third generation, the network models are the best choice. Also, the network models can be used for the first and second generations to improve the validity of model in the wider range of current. In addition to existing generations, PV array and modules, which are serial and parallel arrays of PV cells, will lead to a higher current or voltage. The main disadvantage of using these sorts of systems is their more space occupation. This problem can be solved by using the concentrated PV (CPV) systems that focus the received irradiation on a smaller surface. By considering the generated current, voltage, power, temperature effect, and financial analysis, it seems third‐generation PV systems are more efficient among all the generations. Finally, by considering the ratio of generated current on the occupied space, the CPV systems will be a better choice.

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Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

See 3 more Smart Citations

Generation and combination of the solar cells: A current model review

Khatibi

Astaraei

Ahmadi

2019

Energy Science & Engineering

104

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Review on parameter estimation techniques of solar photovoltaic systems

Venkateswari

Rajasekar

2021

Int Trans Electr Energ Syst

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Beyond meeting power demand, switching to solar energy especially solar photovoltaic (PV) offers many advantages like modularity, minimal maintenance, pollution free, and zero noise. Yet, its cell modeling is critical in design, simulation analysis, evaluation, and control of solar PV system; most importantly to tap its maximum potential. However, precise PV cell modeling is complicated by PV nonlinearity, presence of large unknown model parameter, and absence of a unique method. Since number of model parameters involved is directly related to model accuracy, and efficiency; determination of its values assume high priority. Besides, application of meta-heuristic algorithms via numerical extraction is popular as it suits for any PV cell/module types and operating conditions. However, existence of many algorithms have drawn attention toward assessment of each method based on its merits, demerits, suitability/ability to parameter estimation problem, and complexity involved. Hence, few authors reviewed the subject of PV model parameter estimation.But existing reviews focused on comparative analysis of analytical and metaheuristic approaches, analysis of models, and application of meta-heuristic methods for model parameter extraction. Thus, lack a comprehensive analysis on methods based on different objective function, assessment on

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Parameter Estimation of Solar Cells: A Multi‐Objective Approach

Hazra

Ganguli

2021

Electrical and Electronic Devices, Circuits, and Materials

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Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches

Cited by 245 publications

References 106 publications

Generation and combination of the solar cells: A current model review

Generation and combination of the solar cells: A current model review

Review on parameter estimation techniques of solar photovoltaic systems

Parameter Estimation of Solar Cells: A Multi‐Objective Approach

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