Study of Photovoltaic Cells Engineering Mathematical Model

Jun, Zhou; Yu, Zhengping; Lu, Zhaogeng; Li, Chenhui; Ruilan, Zhang

doi:10.1088/1757-899x/157/1/012019

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…Fillers play an important role in the production of composite materials [14][15][16]. CNTs are excellent candidates for nano-reinforcing various polymer matrices because of their strength, thermal conductivity, electrical capacity, stiffness, and thermal stability [17]. Various polymer/CNT nanocomposites have been synthesized by incorporating CNTs into various polymer matrices [18][19][20].…”

Section: Substances Used In Composite Preparationmentioning

confidence: 99%

Preparation of epoxy composites with CTAB-modified BN and MWCNTs

2015

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In this study, multi‐walled carbon nanotubes (MWCNTs) and boron nitride (BN) were functionalized with cetyltrimethylammonium bromide (CTAB) at both pH 5.5 and pH 11. These MWCNT‐CTAB and BN‐CTAB particles used to prepare the composites were dispersed in a bisphenol A (DGEBA)‐type epoxy resin (ER) system at room temperature. The TGA analysis showed that the BN composite can significantly improve the thermal stability of neat ER at temperatures above 400 °C. The curing degrees of the nanocomposites were calculated to be approximately the same values as neat ER using the Beer–Lambert law from FTIR spectra. The best electrical conductivity of the composites obtained was 3.10 × 10−3 S/cm for ER/MWCNT‐CTAB (pH 5.5). The surface hardness, Young's modulus, and tensile strength of the composites were examined. The surface hardness values of the ER/MWCNT‐CTAB composites were higher than those of the other composites. The composite morphology was characterized using X‐ray diffraction (XRD) and scanning electron microscopy (SEM). POLYM. COMPOS., 37:3423–3432, 2016. © 2015 Society of Plastics Engineers

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Section: Substances Used In Composite Preparationmentioning

confidence: 99%

Preparation of epoxy composites with CTAB-modified BN and MWCNTs

2015

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“…The formula includes parameters such as I sc , I m , U m , and U oc , which, respectively, represent the short-circuit current, maximum-power-point current, maximum-power-point voltage, and open-circuit voltage under standard conditions. These standard conditions entail a reference solar-radiation intensity of 1000 W/m 2 and a reference battery temperature of 25 • C [17]. Additionally, ∆T and ∆S denote the temperature difference and relative irradiance between general working conditions and the standard conditions.…”

Section: Engineering Modelmentioning

confidence: 99%

A Novel Harris-Hawk-Optimization-Based Maximum-Power-Point-Tracking Control Strategy for a Grid-Connected PV Power-Generation System

Tao,

Xin,

Zhang

et al. 2023

Energies

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This paper aims to assess the efficacy of the Harris Hawk Optimization (HHO) algorithm within the domain of photovoltaic (PV) power-generation systems. The focus lies in elucidating how the HHO algorithm optimizes maximum-power-point tracking (MPPT) and augments the performance of grid-connected PV systems. Initially, in the MATLAB/Simulink environment, a comparison is made between the HHO algorithm and two other extensively utilized methods for maximum-power-point tracking (MPPT): Perturb and Observe (P&O) and Particle Swarm Optimization (PSO). Preliminary findings indicate the HHO algorithm’s notable advantages in efficiency and speed over the other algorithms. Furthermore, by establishing a practical experimental platform and synchronously verifying outcomes through simulation, we conducted a comprehensive assessment of the HHO algorithm on a single-phase full-bridge-inverter grid-connected system. Results show the HHO algorithm’s exceptional optimization capabilities, which displays superior adaptability and ability to adjust to varying external conditions.

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“…Furthermore, the current-voltage (I-V) curves can be easily accessed by analysing the behaviour using the mathematical model, which aids in efficiently predicting the characteristics of solar cells and PV modules under various weather conditions. The Single-Diode equivalent Model (SDeM) and Double-Diode equivalent Model (DDeM) are the two primary models used to model the PV cell [18][19][20]. Both models comprise electrical components that constitute a circuit capable of analysing and incorporating the nonlinear effects of an actual PV cell.…”

Section: Introductionmentioning

confidence: 99%

Constraint estimation in three‐diode solar photovoltaic model using Gaussian and Cauchy mutation‐based hunger games search optimizer and enhanced Newton–Raphson method

Premkumar

Jangir²,

Kumar³

et al. 2022

IET Renewable Power Gen

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The reliability of the photovoltaic models is strongly reliant on their parameters, which are primarily determined by the optimization algorithm and the objective function. As a result, obtaining the parameters under different environmental conditions is critical for increasing their performance, reliability and significantly lowering cost. Many optimization techniques are reported to address this problem based on the complexity. As a result, an enhanced version of the recently reported Hunger Games Search Optimizer (HGSO) method called Gaussian and Cauchy Mutation‐based HGSO (GCMHGSO) algorithm for defining the requirements of the Three‐Diode equivalent Model (TDeM) by utilizing multiple representations in the algorithm along with an efficient objective function. The Cauchy mutation increases the exploration ability, and Gaussian mutation increases the exploitation ability of the basic HGSO. Furthermore, an Enhanced Newton–Raphson Method (ENRM) is presented to effectively solve the behaviour of the current–voltage relation of the TDeM. The robust optimization is also considered to demonstrate the impact of the measurement error. Comparing the GCMHGSO‐ENRM to other competitors reveals that the proposed GCMHGSO‐ENRM can accurately find the best solution, and its effectiveness is verified in many statistical parameters. It is found that the GCMHGSO‐ENRM algorithm is stable and robust compared to other competitors.

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Study of Photovoltaic Cells Engineering Mathematical Model

Cited by 8 publications

References 3 publications

Preparation of epoxy composites with CTAB-modified BN and MWCNTs

Preparation of epoxy composites with CTAB-modified BN and MWCNTs

A Novel Harris-Hawk-Optimization-Based Maximum-Power-Point-Tracking Control Strategy for a Grid-Connected PV Power-Generation System

Constraint estimation in three‐diode solar photovoltaic model using Gaussian and Cauchy mutation‐based hunger games search optimizer and enhanced Newton–Raphson method

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