Least square estimator and IEC-60891 procedure for parameters estimation of single-diode model of photovoltaic generator at standard test conditions (STC)

Ayang, Albert; Wamkeue, R.; Ouhrouche, M.; Saad, Mohamad; Tameghe, Tommy Andy; Deli, Kodji; Takoutsing, Pierre Tchakoua

doi:10.1007/s00202-020-01131-2

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…Therefore, the RMSD values on using the proposed method show the superiority of the proposed method in assessing the module parameters with higher accuracy than that of methods reported in the literature [1]- [47] and other methods using optimization techniques [48]- [92]. The superiority is referred to the well-defined initial conditions given in section 3.1.2, which guided Matlab "fsolve" routine to predict highly accurate values of the module parameters irrespective of the module type and rating.…”

Section: Single Diode Modelmentioning

confidence: 71%

“…The value of dev I mpp V mpp reached 0.069% for the proposed method against higher values up to 44.5% for the same other methods. Table 2 dictates that the RMSD on using the proposed method records values of 0.0018, 2.1842 × 10 −4 , 0.0026, 7.63 × 10 −4 , 0.0016 and 0.0017 for different crystalline modules against 0.007, 0.05, 0.008, 0.003, 0.0017 and 0.49 for other methods [13], [19], [21], [30], [43][44][45][46][47]. The values of dev I mpp V mpp reached 0.023608, 0.0011, 0.035, 0.012 and 0.054% by the proposed method against 0.07, 0.65, 0.13, 0.05 and 17.7% by the same other methods.…”

Section: Single Diode Modelmentioning

confidence: 98%

“…The parameters obtained by the proposed method are compared with those reported before [1], [4], [10], [11], [13], [16], [17], [19], [20], [25], [26], [35] as given in Table 1 for the same module. Also, the parameters predicted by the proposed method are compared with those presented before [13], [19], [21], [30], [43][44][45][46][47] as reported in Table 2 for different modules. 1 that the RMSD on using the proposed method records a value of 0.005 against high values that reach up to 2.45 as predicted by other methods [1], [4], [10], [11], [13], [16], [17], [19], [20], [25], [26], [35] for the same module.…”

Section: Single Diode Modelmentioning

confidence: 99%

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Estimation of photovoltaic module parameters based on datasheet: A review and a proposed method

Kamal,

Abdel-Salam,

Nayel

2023

Engineering Research Journal

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This paper is aimed at first to present a thorough review of published research works for evaluating the photovoltaic module parameters in three categories. In the first category, the parameters were determined successively one-by-one based on several approximations. The second category was an extension to the first category but through one-or two-loops for determining one-or two-parameters. Then, the remaining parameters were obtained one-by-one. In the third category, an iterative procedure was presented for simultaneous solution of the describing equations based on assumed initial values of some parameters. The remaining parameters -if any-were determined in terms of those already obtained by iteration. The present paper proposes a method for determining the parameters based on datasheet values at three key points on the module current-voltage (I-V) curve and solution of describing equations of the module with the same well-defined initial values, which serve solution for single-and double-diode models irrespective of module type and rating by using Matlab "fsolve" routine. To the authors' knowledge, one of the formulated equations includes -for the first time-the value of the module maximum power. This value was never considered before by other approaches reported in the literature for evaluating the module parameters. The obtained results confirmed the superiority of the proposed method in assessing the module parameters with higher accuracy than that of other methods reported in the literature. The root-mean-square-deviation from the describing equations records a value of 0.005 against a range from 0.03 to 2.45 by other methods for the same module. As a second check, the percentage deviation of the slope of I-V curve at maximum-power-point from its nominal value reached 0.07% for the proposed method against a range from 0.22 to 44.5 % by other methods. As a third check, the accuracy is evaluated at points different from the key points of the datasheet. The module current value at open-circuit voltage is 0.0029A and closer to zero on using the module parameters predicted by the proposed method when compared with values in a range from -0.23 to + 0.92A obtained by other methods.

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Section: Single Diode Modelmentioning

confidence: 71%

Section: Single Diode Modelmentioning

confidence: 98%

Section: Single Diode Modelmentioning

confidence: 99%

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Estimation of photovoltaic module parameters based on datasheet: A review and a proposed method

Kamal,

Abdel-Salam,

Nayel

2023

Engineering Research Journal

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“…The photovoltaic system proves its validity, it can be used in different applications and contribute to x the environment problems and reduce the CO2 emission [12][13][14][15].…”

Section: Tab2 Parameters Of the Poly Ocrystalline Pvmentioning

confidence: 92%

Analysis Study of a Real Photovoltaic Plant In Desert Conditions

Dahbi¹,

Bouchelga

Benmedjahed³

et al. 2023

Preprint

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The objective of this paper is to investigate the behavior of the poly crystalline photovoltaic field installed in the site of Oued Nechou in Ghardaia, Algeria. The cellule, panel, and array have been modeled and simulated in STC then in various input conditions in order to understand the performances of this PV plant. Moreover, the poly crystalline PV plant has been simulated using real climate data in order to identify the potential of solar energy in the studied area and evaluate the PV plant. According to the results, it should be highlighted that the environmental factors, particularly the sun irradiation and temperature, have a significant impact on the photovoltaic system's performance, which results in fluctuations in electrical energy output and performance ratio. Additionally, they show that the location has significant solar potential, which enables it to produce electricity that is acceptable despite the local environment, this encourages the construction of new PV plants there.

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“…11,23 In Kumar and Maheshwari, 24 Procedure 2 is applied with the corrected I-V curves correlated with PV electroluminescence (EL) images to identify defects in EL images. In Ayang et al, 25 both Procedures 1 and 2 are also explored for the estimation of single-diode model parameters. In addition to the application of procedures, some research focused on the mechanism of the correction procedures.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of IEC 60891:2021 procedures for correcting I–V curves of photovoltaic modules under healthy and faulty conditions

Migan‐Dubois

Delpha

2022

Progress in Photovoltaics

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Correction of PV modules' current-voltage characteristics (I-V curves) is essential before they can be used for performance analysis and fault diagnosis under real-life conditions. IEC 60891 (version 2021) has updated Procedure 2 and proposed a new correction Procedure 4 compared to the 2009 version. This study aims to analyze the performance of these new procedures applied to I-V curves of faulty PV modules. The work is based on an mc-Si PV module considering healthy and four common fault conditions with varying fault severity. The irradiance and temperature measured in the field are used to generate I-V curves. The correction procedures of IEC 60891 (version 2021) based on a single curve (Procedures 1, 2, and 4) are evaluated. Environmental factors such as measurement season and irradiation level on the correction performance are studied. The results show that Procedure 2 is relatively betterwith the relative root-mean-square error of the curve current as 2.6% compared to Procedure 1 (2.8%) and Procedure 4 (4.8%). Experimental tests using real I-V curves also show that Procedure 2 exhibits better robustness of correction. The new Procedure 4, whose correction coefficients are determined dynamically, performs poorly under partial shading and short-circuit bypass conditions. However, it achieves similar or better performance than Procedures 1 and 2 under degraded conditions, where the PV fault is generally not easy to detect, making the I-V correction more necessary. It is, therefore, a promising alternative correction procedure when it is difficult to determine the correction coefficients in advance. Finally, the pros and cons of the procedures are discussed with the suggestion of correction procedures under different conditions. The challenges and prospects are also provided.

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Least square estimator and IEC-60891 procedure for parameters estimation of single-diode model of photovoltaic generator at standard test conditions (STC)

Cited by 9 publications

References 35 publications

Estimation of photovoltaic module parameters based on datasheet: A review and a proposed method

Estimation of photovoltaic module parameters based on datasheet: A review and a proposed method

Analysis Study of a Real Photovoltaic Plant In Desert Conditions

Performance evaluation of IEC 60891:2021 procedures for correcting I–V curves of photovoltaic modules under healthy and faulty conditions

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