Reliabilitystudy of Solar PV Power Production In Terms Of Weather Parameters Using Monte Carlo Simulation

Sharma, Himani; Bora, Birinchi; Sharma, Shubham; Kumar, Rajesh; Jain, Rashmi

doi:10.9790/9622-0707053745

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…PV panel uses an array of solar cells that convert light into electric energy using photo-electric effect. Solar cell equations are used to model the dc equivalent circuit of solar cell [34]. The model is tested for different range of temperature from 5°C to 45°C and irradiance including constant, step and trapezoidal functions [35].…”

Section: Methodsmentioning

confidence: 99%

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

Sharma

Jain

2015

IJPEDS

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With an increase of Green Technology applications, Photovoltaic have emerged as the most appropriate solution for electricity generation purposes. However, due to variable temperature and irradiance, under the partial or shaded conditions Maximum Power Point Tracking is needed to determine highest efficiency of the system. The paper describes dynamic modeling and control of variable temperature and irradiance on solar panel in SIMULINK-MATLAB environment. The implementation of Buck Converter is used for power switching and impedance matching on connecting the panel to the load. The effectiveness of the model, with enhanced efficiency through voltage stabilization, is performed using Proportional-Integral-Derivative and Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on the basis of outputs to deal with online set point variations. FLC gives closer results to Standard Test Conditions when compared with PID. The Fuzzy system developed, using tested membership functions serve as a platform for sustainable standalone and grid-based applications using distributed MPPT. With an increase of Green Technology applications, Photovoltaic have emerged as the most appropriate solution for electricity generation purposes. However, due to variable temperature and irradiance, under the partial or shaded conditions Maximum Power Point Tracking is needed to determine highest efficiency of the system. The paper describes dynamic modeling and control of variable temperature and irradiance on solar panel in SIMULINK-MATLAB environment. The implementation of Buck Converter is used for power switching and impedance matching on connecting the panel to the load. The effectiveness of the model, with enhanced efficiency through voltage stabilization, is performed using Proportional-Integral-Derivative and Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on the basis of outputs to deal with online set point variations. FLC gives closer results to Standard Test Conditions when compared with PID. The Fuzzy system developed, using tested membership functions serve as a platform for sustainable standalone and grid-based applications using distributed MPPT. <br />

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Section: Methodsmentioning

confidence: 99%

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

Sharma

Jain

2015

IJPEDS

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“…The performance of the PV panel can be estimated by away the FF (Fill Factor) which is defined as the ratio between the maximum power extracted from the system and the product between the open-circuit voltage and the shortcircuit current (Sharma and Jain, 2014).…”

Section: Steps For Experiments Readingsmentioning

confidence: 99%

The effect of installing different arrangements of aluminum fins on the photovoltaic performance

Murtadha

Alalwany

Hussein³

2023

Int. J. Appl. Sci. Eng.

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One of the significant obstacles for improving the photovoltaic (PV) performance and lowering their surface temperature are the cost, durability and simplicity of cooling systems. Regular aluminum fins have been added in various configurations to the back surface of a PV panel in order to reduce the PV surface temperature and improve the output power. The experimental set-up consists of four photovoltaic panels. PV-1 was used as a baseline, and PV-2 was utilized with longitudinal fins and exposed to natural air cooling. PV-3 was employed to offer forced air cooled at different air velocities with similar longitudinal fins. PV-4 was used with forced air cooling at various air velocities and fins installed in an S shape arrangement. The largest percentage of temperature drops on the PV surface was achieved by the PV-3 with longitudinal fins and forced air cooling. Panels PV-2, PV-3 and PV-4, respectively, have surface temperature drops of 5.48%, 11.86% and 9.57% in comparison with the baseline panel PV-1. The output power of PV-3 panel having longitudinal fins and forced air cooling increased by 5.42% compared to the baseline PV-1. Additionally, it will be possible to use the heat that absorb by the cooling medium, air, for other purposes.

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Reliabilitystudy of Solar PV Power Production In Terms Of Weather Parameters Using Monte Carlo Simulation

Cited by 2 publications

References 11 publications

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

The effect of installing different arrangements of aluminum fins on the photovoltaic performance

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