Parameter estimation of four diode solar photovoltaic cell using hybrid algorithm

Singh, Beant; Singla, Manish Kumar; Nijhawan, Parag

doi:10.1080/15567036.2022.2078905

Cited by 14 publications

(10 citation statements)

References 34 publications

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“…both the models the Friedman ranking test [40][41][42][43][44] Table 8 and Wilcoxon's rank sum test [45][46][47][48][49][50][51] Table 9 is performed and from this test also it is concluded that the proposed hybrid algorithm is far better than the rest of the compared standalone algorithms. Case 2: Poly-crystalline solar panel.…”

Section: Plos Onementioning

confidence: 99%

A modified particle swarm optimization rat search algorithm and its engineering application

Singla,

Gupta,

Alsharif

et al. 2024

PLoS ONE

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Solar energy generation requires photovoltaic (PV) systems to be optimised, regulated, and simulated with efficiency. The performance of PV systems is greatly impacted by the fluctuation and occasionally restricted accessibility of model parameters, which makes it difficult to identify these characteristics over time. To extract the features of solar modules and build highly accurate models for PV system modelling, control, and optimisation, current-voltage data collecting is essential. To overcome these difficulties, the modified particle swarm optimization rat search algorithm is presented in this manuscript. The modified rat search algorithm is incorporated to increase the PSO algorithm’s accuracy and efficiency, which leads to better outcomes. The RSA mechanism increases both the population’s diversity and the quality of exploration. For triple diode model of both monocrystalline and polycrystalline, PSORSA has showed exceptional performance in comparison to other algorithm i.e. RMSE for monocrystalline is 3.21E-11 and for polycrystalline is 1.86E-11. Similar performance can be observed from the PSORSA for four diode model i.e. RMSE for monocrystalline is 4.14E-09 and for polycrystalline is 4.72E-09. The findings show that PSORSA outperforms the most advanced techniques in terms of output, accuracy, and dependability. As a result, PSORSA proves to be a trustworthy instrument for assessing solar cell and PV module data.

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Section: Plos Onementioning

confidence: 99%

A modified particle swarm optimization rat search algorithm and its engineering application

Singla,

Gupta,

Alsharif

et al. 2024

PLoS ONE

Self Cite

View full text Add to dashboard Cite

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“…However, it is important to acknowledge that this model comes with the drawback of higher complexity in terms of modeling. Despite its complexity, the quadruple diode model is widely used in large-scale industrial applications [13].…”

Section: Quadruple Diode Modelmentioning

confidence: 99%

“…Numerous researchers have proposed multiple models to precisely simulate PV cells. These models encompass various configurations, such as the single diode model (SDM) [10], double diode model (DDM) [11], triple diode model (TDM) [12], and quadruple diode model (QDM) [13]. Each of these PV models aims to accurately represent the electrical behavior of the cell.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Simplified Quadruple Diode Solar PV Module Under Influence of Environmental Conditions and Parasitic Resistance

Jasim,

Albaker,

Jabir

2024

TEM Journal

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To ensure a rapid and consistent design of Photovoltaic (PV) modules, the presence of an effective simulator is essential for assessing the behaviour of the PV cell when subjected to rapid or partial changes in temperature, irradiance, and parasitic resistance. The prevailing approach for modelling involves utilizing an equivalent circuit that encapsulates both nonlinear and linear mechanisms. The study introduces an eleven-parameter quartic model for the simulation and modelling of a PV unit. The model takes into account the equivalent circuit constraints of the PV cell and validated by solving the non-linear voltage equation. The examination concentrates on three pivotal junctures: open circuit, maximum power point, and short circuit. These key points are crucial for comprehending the operational characteristics of the PV module in typical conditions. The proposed quadruple diode model has been demonstrated to outperform the lower-order diode models in terms of performance and accuracy. To validate the strength and precision of the developed model, the model was simulated using the specifications of PV panels, and the outcomes were compared with the recorded values obtained from the lower-order models.The model was developed and tested using standard mathematical equations for PV cells within the MATLAB/ Simulink environment.

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“…Using the referred binary variables, it is now possible to write the converter model as presented in (15) and (16). The model given by ( 15) is for the Boost mode, whereas the other model ( 16) is for the Buck mode.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Most tools to simulate SPV panels are software-based solutions dedicated to theoretical models. Some of the most common models are the voltage-temperature simulation algorithms [9], end-to-end differentiable simulator [10], seven-parameter model [11], one-diode equivalent circuit model [12,13], dual-diode model [14], or four-diode model [15]. Other simulation tools are dedicated to the research of PV panels regarding operational data for the reliability or fault-tolerant analysis and improvement [16].…”

Section: Introductionmentioning

confidence: 99%

Automated Solar PV Simulation System Supported by DC–DC Power Converters

Cordeiro

Chaves

Gâmboa

et al. 2023

Designs

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Solar photovoltaic simulators are valuable tools for the design and evaluation of several components of photovoltaic systems. They can also be used for several purposes, such as educational objectives regarding operation principles, control strategies, efficiency, maintenance, and other aspects. This paper presents an automated solar photovoltaic simulation system with the capability to generate automated tests considering different parameters of solar photovoltaic panels and different operation conditions. The proposed simulator is composed of three buck-boost DC–DC power converters controlled in such a way that will behave similarly to solar photovoltaic panels. It allows to introduce additional variable loads and maximum power point tracker algorithms similar to real systems. Some converters are controlled by a DSP microcontroller connected to a single programmable logic controller which generates the automated tests. Thus, using the presented solution, it is possible to implement the I-V and P-V characteristic curves of solar photovoltaic panels and evaluate different maximum power point tracker algorithms considering different meteorological conditions and load variations, being a useful tool to teach subjects related to renewable energy sources and related applications. Several simulation results using Matlab/Simulink and experimental results are presented to validate the operation of the proposed solution. Experimental results achieve a ripple between 2% and 5% of the desired average current in MPP conditions.

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Parameter estimation of four diode solar photovoltaic cell using hybrid algorithm

Cited by 14 publications

References 34 publications

A modified particle swarm optimization rat search algorithm and its engineering application

A modified particle swarm optimization rat search algorithm and its engineering application

Modeling and Simulation of Simplified Quadruple Diode Solar PV Module Under Influence of Environmental Conditions and Parasitic Resistance

Automated Solar PV Simulation System Supported by DC–DC Power Converters

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