A new hybrid method to estimate the single-diode model parameters of solar photovoltaic panel

Lidaighbi, Souad; Elyaqouti, Mustapha; Dris, Ben Hmamou; Saadaoui, Driss; Assalaou, Khalid; Arjdal, Elhanafi

doi:10.1016/j.ecmx.2022.100234

Cited by 18 publications

(15 citation statements)

References 63 publications

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“…These are shunt resistance series resistance , and . Extensive contemporary works has been covered in literature on parameter identification of the PV module 26 , 50 – 52 , thus this study will not emphasize further on that. Throughout this study, a 200W solar module of type KC200GT is adopted 53 .…”

Section: Photovoltaic Emulator System Modelingmentioning

confidence: 99%

“…These models distinctively vary in accuracy and complexity. Amongst these models, the SDM is highly solicited in renewable energy modelling and especially PV systems due to its ability to balance accuracy and complexity 26 , which are crucial requirements for the implementation of a PVE. After the selection of a diode model, it is imperative that it be seamlessly incorporated into the PVE closed loop system.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced control strategy for photovoltaic emulator operating in continuously changing environmental conditions based on shift methodology

Harrison,

Ullah,

Alombah

et al. 2024

Sci Rep

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This article investigates an inventive methodology for precisely and efficiently controlling photovoltaic emulating (PVE) prototypes, which are employed in the assessment of solar systems. A modification to the Shift controller (SC), which is regarded as a leading PVE controller, is proposed. In addition to efficiency and accuracy, the novel controller places a high emphasis on improving transient performance. The novel piecewise linear-logarithmic adaptation utilized by the Modified-Shift controller (M-SC) enables the controller to linearly adapt to the load burden within a specified operating range. At reduced load resistances, the transient sped of the PVE can be increased through the implementation of this scheme. An exceedingly short settling time of the PVE is ensured by a logarithmic modification of the control action beyond the critical point. In order to analyze the M-SC in the context of PVE control, numerical investigations implemented in MATLAB/Simulink (Version: Simulink 10.4, URL: https://in.mathworks.com/products/simulink.html) were utilized. To assess the effectiveness of the suggested PVE, three benchmarking profiles are presented: eight scenarios involving irradiance/PVE load, continuously varying irradiance/temperature, and rapidly changing loads. These profiles include metrics such as settling time, efficiency, Integral of Absolute Error (IAE), and percentage error (epve). As suggested, the M-SC attains an approximate twofold increase in speed over the conventional SC, according to the findings. This is substantiated by an efficiency increase of 2.2%, an expeditiousness enhancement of 5.65%, and an IAE rise of 5.65%. Based on the results of this research, the new M-SC enables the PVE to experience perpetual dynamic operation enhancement, making it highly suitable for evaluating solar systems in ever-changing environments.

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Section: Photovoltaic Emulator System Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced control strategy for photovoltaic emulator operating in continuously changing environmental conditions based on shift methodology

Harrison,

Ullah,

Alombah

et al. 2024

Sci Rep

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“…The series resistance (R s ) encompasses two intrinsic resistances to the photovoltaic cell: the resistance of the semiconductor material in its P-N junction and the resistance between the material and the metallic terminals that capture the photogenerated current [25], while (R p ), which is connected in parallel to the current source, represents the impurities and defects in the structure, mainly close to the edges, creating an internal path for the leakage current and reducing the current effectively generated by the device [25]. According to [34,35] the equivalent electrical circuit of the 1D5P model can be represented as shown in Figure 3. Thus, when analyzing the electrical circuit, the result is five unknown parameters that need to be extracted in this model: the inverse saturation current of the diode (𝐼 ), the ideality factor of the diode (𝑚), the photogenerated current (𝐼 ), the series resistance (𝑅 ) and the parallel resistance (𝑅 ).…”

Section: One Diode Five Parameter Model (1d5p)mentioning

confidence: 99%

Investigation of the Use of Evolutionary Algorithms for Modeling and Simulation of Bifacial Photovoltaic Modules

Grala,

Provensi,

Krummenauer

et al. 2023

Inventions

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The purpose of this study is to employ and improve evolutionary algorithms, namely the genetic algorithm (GA) and the differential evolution algorithm (DE), to extract the parameters of the equivalent circuit model (ECM) of a bifacial photovoltaic module using the representative model of a diode with five parameters (1D5P). The objective is to simulate the characteristics of the I–V curves for various irradiation and temperature scenarios. A distinctive feature of this study is the exclusive use of the information in the technical sheet of the bifacial module to conduct the entire extraction and simulation process, eliminating the need to resort to external sources of data or experimental data. To validate the methods, a comparison was made between the simulation results and the data provided by the bifacial module manufacturer, contemplating different scenarios of irradiation and temperature. The DE was the most accurate algorithm for the 1D5P model, which presented a maximum average error of 1.57%. In comparison, the GA presented a maximum average error of 1.98% in the most distant scenario of STC conditions. Despite the errors inherent to the simulations, none of the algorithms presented relative errors greater than 8%, which represents a satisfactory modeling for the different operational conditions of the bifacial photovoltaic modules.

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“…The parameters of SDM of a PV module were estimated [12] based on (i) an iterative method for calculating the module ideality factor A and (ii) four equations formulated at the three key points after doing some simplifications and extractions from previous work [1]. The four equations were solved one-by-one using Simulink in Matlab software.…”

Section: 12mentioning

confidence: 99%

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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A new hybrid method to estimate the single-diode model parameters of solar photovoltaic panel

Cited by 18 publications

References 63 publications

Enhanced control strategy for photovoltaic emulator operating in continuously changing environmental conditions based on shift methodology

Enhanced control strategy for photovoltaic emulator operating in continuously changing environmental conditions based on shift methodology

Investigation of the Use of Evolutionary Algorithms for Modeling and Simulation of Bifacial Photovoltaic Modules

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

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