A Hybrid Model Parameter Extraction Method for Single-Diode Model of PV Module

Meng, Xiangjian; Gao, Feng; Xu, Tao

doi:10.1109/ecce44975.2020.9235841

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Because of the nonlinearity of the I-V curve, it is difficult to determine the parameters of double diode model. The traditional curve fitting technique is applied to estimate the double diode model parameters, but there are significant errors in parameters identification because of the greatly nonlinear of the I-V curve 8,9 . Different from traditional mathematics, intelligent optimization algorithm is suitable for solving nonlinear problems, such as solving the parameters identification of PV.…”

Section: Introductionmentioning

confidence: 99%

A hybrid intelligent algorithm for parameter identification of double diode model of PV

Chen

2022

International Conference on Computer Application and Information Security (ICCAIS 2021)

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Differential evolution (DE) and fireworks algorithm (FWA) are two good optimization algorithms. Each of them has many advantages and has been widely used. Yet it is also inadequate. DE is easy to fall into local optimization and its parameters are difficult to set. FWA is not enough to exploit the local space. In this paper, a hybrid algorithm which combines DE and FWA (FWADE) is presented. By mixing and randomly redistributing the population of DE and FWA in the process of evolution, FWADE has the virtues of DE and FWA. The algorithm has fast solution speed to find global solution. The paper describes the algorithm process of FWADE in detail. The presented algorithm is used to identify the parameters of double diode model of PV cell and the result is compared with that of DE and FWA. The result shows that the hybrid algorithm can get a better solution in parameters identification of double diode model of PV.

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Section: Introductionmentioning

confidence: 99%

A hybrid intelligent algorithm for parameter identification of double diode model of PV

Chen

2022

International Conference on Computer Application and Information Security (ICCAIS 2021)

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Dynamic Performance Analysis of Neural Network Based MPPT Under Varying Climatic Condition

Dangi

Gawre

Ojha

2022

Lecture Notes in Electrical Engineering

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Impact of Irradiance and Temperature on Electrical Parameters of Polycrystalline Photovoltaic Module: A Five Parameter Analysis

Pardhi,

Khare,

Choubey

2024

IJRTE

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In the current era, adopting renewable energy is not just a choice but a necessity. The role of photovoltaic modules significantly influences this shift from conventional energy sources. The performance and parameters of these PV cells are greatly affected by both irradiance and temperature. While the standard test condition assumes 1000 watts/m² and 25°C temperature, the reality of solar geometry often alters these values, leading to changes in the electrical parameters of the PV cell. This study, which employs a five-parameter single-diode model, is of paramount importance in understanding the impact of irradiance and temperature. The parameters are extracted from the P-V and I-V curves of the simulated solar cell and matched with data from the TP300 series polycrystalline TATA Power solar module. The analysis across various temperature and irradiance levels providescrucial insights into changes in shunt and series resistance, diodeideality factor, reverse saturation current, and photo-generatedcurrent. This investigation is vital in understanding howparameter alterations correlate with changes in solar cell performance. The study uses the MATLAB Simulink platform,utilizing data from the TATA solar module TP-300 seriesdatasheet.

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A Hybrid Model Parameter Extraction Method for Single-Diode Model of PV Module

Cited by 3 publications

References 7 publications

A hybrid intelligent algorithm for parameter identification of double diode model of PV

A hybrid intelligent algorithm for parameter identification of double diode model of PV

Dynamic Performance Analysis of Neural Network Based MPPT Under Varying Climatic Condition

Impact of Irradiance and Temperature on Electrical Parameters of Polycrystalline Photovoltaic Module: A Five Parameter Analysis

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