Analysis of the Factors Influencing the Performance of Single- and Multi-Diode PV Solar Modules

Yadav, Dilip; Singh, Nidhi; Bhadoria, Vikas Singh; Vita, Vasiliki; Fotis, Georgios; Tsampasis, Eleftherios G.; Maris, Theodoros I.

doi:10.1109/access.2023.3306473

Cited by 14 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Renewable energy systems: MLIs are widely used in renewable energy systems such as solar photovoltaic (PV) inverters and wind turbine generators for grid integration. They help convert the DC power generated by renewable sources into grid-compatible AC power with improved efficiency and power quality [7,8]. (II).…”

Section: Introductionmentioning

confidence: 99%

A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components

Mahto,

Mahato,

Chandan

et al. 2024

Technologies

Self Cite

View full text Add to dashboard Cite

Significant advancements in the field of power electronics have created an ideal opportunity to introduce various topologies of multilevel inverters. These multilevel inverter topologies comprise different notable characteristics, such as staircase sinusoidal output voltage with high quality, a lowered number of power switches, no filter requirement, etc. In this literature, a new asymmetrical MLI topology is proposed to reduce the number of components of the inverter with admirable voltage-step creation. The proposed topology provides a 17-level, staircase-type, nearly sinusoidal output voltage waveform. The number of switches required for the proposed multilevel inverter topology is fewer compared to the existing topology for the same level. A carrier-based sinusoidal pulse-width modulation technique is used for the proposed topology at a switching frequency of 3 kHz. The functioning of the proposed inverter topology is thoroughly examined. A 17-level asymmetrical inverter is executed; both the MATLAB/SIMULINK as well as the experimental results using dSPACE-1103 controller. The simulation results are verified using the experimental results for the proposed 17-level multilevel inverter for modulation indexes of 1 and 0.6.

show abstract

Section: Introductionmentioning

confidence: 99%

A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components

Mahto,

Mahato,

Chandan

et al. 2024

Technologies

Self Cite

View full text Add to dashboard Cite

show abstract

“…At present, PV solar panels, dating back to the mid-20th century, remain the most effective technology for harnessing the sun's energy [3]. Research has shown that the amount of sunlight captured by PV solar panels is maximized when the sun's rays are incident to the surface of the panels [4]. One way in which this can be achieved is by using a solar tracker which is able to track the position of the sun and maintain an optimum angle between the sun's rays and the surface of the PV panels [5].…”

Section: Introductionmentioning

confidence: 99%

A Multistage Hybrid Deep Learning Model for Enhanced Solar Tracking

Mulenga,

Phiri,

Simukonda

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Solar tracking helps maximize the efficiency of solar applications, such as photovoltaic (PV) solar panels. In the recent past, machine learning (ML) techniques have been extensively used to implement automatic solar tracking. However, applying predictive models in solar trackers is a non-trivial task due to the randomness and non-linearity of meteorological data, limiting their ability to clearly represent the underlying data patterns. Most existing predictive models take a monolithic approach to addressing limitations related to meteorological data, thereby limiting their performance. Therefore, this paper proposes a deep hybrid learning (DHL) model to enhance solar tracking performance. Furthermore, the proposed model improves feature representation in the data by using combined normalization methods and conversion of numerical data to images. In a nutshell, the model integrates sine and cosine transformations (SCT) to reveal cyclical patterns in the data, sigmoid and minimum-maximum data transformations to scale the data to a Gaussian distribution, and Gramian Angular Fields (GAF) to convert tabular data into 2D image representation to take advantage of the feature extraction capability of a convolutional neural network (CNN). The model also utilizes longterm short-term memory (LSTM) and gated recurrent units (GRU) for both spatial and temporal feature extraction. The results show that the aggregation of the above-mentioned methods significantly enhances solar tracking. The proposed hybrid model outperforms existing methods on a publicly available dataset, achieving outstanding performance with MAE, MAPE, and RMSE scores of 0.0073, 1.4635, and 0.0097, respectively.

show abstract

Comprehensive modeling and simulation of photovoltaic system performance by using matlab/simulink: integrating dynamic meteorological parameters for enhanced accuracy

Nfaoui,

Ihfa,

Bougtaib

et al. 2024

J.Umm Al-Qura Univ. Appll. Sci.

View full text Add to dashboard Cite

Studying the operation of photovoltaic panels in the presence of varying meteorological parameters is a complex undertaking that requires the development of models to understand the physical phenomena associated with different meteorological factors. The main aim of this study is to examine the impact of meteorological factors, such as illuminance, temperature, and wind speed, on the performance of photovoltaic modules. Our goal is to develop precise models that illustrate how these factors affect the output of a photovoltaic system at a specific location. To achieve this, we utilized a rigorously validated mathematical model, previously tested with photovoltaic simulation software such as PVsyst, enabling accurate prediction of photovoltaic installation output. We compared the results of our simulations, conducted with the chosen mathematical model, with those obtained from PVsyst software. Subsequently, we validated the accuracy of our proposed model using real operating conditions simulated by PVsyst. Additionally, we incorporated additional curves, not available in the PVsyst database, accounting for wind speed as a meteorological parameter.

show abstract

Analysis of the Factors Influencing the Performance of Single- and Multi-Diode PV Solar Modules

Cited by 14 publications

References 24 publications

A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components

A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components

A Multistage Hybrid Deep Learning Model for Enhanced Solar Tracking

Comprehensive modeling and simulation of photovoltaic system performance by using matlab/simulink: integrating dynamic meteorological parameters for enhanced accuracy

Contact Info

Product

Resources

About