Toward a prediction of the photovoltaic based power production from Experimental Thermal modeling

Ramenah, Harry; Tanougast, Camel; Cicero, Lucas

doi:10.1109/itec-ap.2014.6941218

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…He reviewed the experimental influence of changes in temperature relations and solar radiation on the performance of photovoltaic systems. The experimental approach leads to the expression of the solar energy transfer process model to electrical energy [3].…”

Section: Introductionmentioning

confidence: 99%

Effect Of Solar Radiation On Module Photovoltaics 100 Wp With Variation of Module Slope Angle

Zakri¹,

Rosma²,

Simanullang³

2018

IJEEI

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Solar photovoltaic generation system is a very promising type of renewable energy, particularly when it is implemented in the tropical country like Indonesia where it receives a huge amount of sunshine. Solar photovoltaic generation system can be utilised to supply power for different types of consumer, namely utility grids, industrials as well as household. This article discusses the effect solar radiation to the photovoltaic module with different slope angles namely; 300, 400 and 500 respectively. It was used a 100 Wp solar module in the research. It is not only the slope angle of module analysed in this article but also the weather condition such as: sunny or cloudy conditions. The performances of solar photovoltaic at temperature ranging from 280C to 500C are analysed significantly. The results showed that the above conditions affected the voltage generated by solar photovoltaic system. Finally, the results of this test will be compared with the simulation results of photovoltaic system modeling using Matlab/Simulink.

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Section: Introductionmentioning

confidence: 99%

Effect Of Solar Radiation On Module Photovoltaics 100 Wp With Variation of Module Slope Angle

Zakri¹,

Rosma²,

Simanullang³

2018

IJEEI

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“…Output power of photovoltaic generation system is influenced by external climate conditions, like temperature, humidity, solar radiation intensity and so on, and the randomness of external climate conditions result in the randomness of photovoltaic output power [2]. Since the output of the PV system is a certain randomness, it may affect the security and stability of power grid when PV system is grid connected.…”

Section: Introductionmentioning

confidence: 99%

Research on Power Short-term Prediction of the Photovoltaic System Based on Grey Relational Analysis and Quantum Particle Swarm Optimization

Gong¹,

Lei²,

Zhang³

et al. 2015

Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering

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Output power of Photovoltaic generation system is influenced by temperature, humidity, solar radiation intensity and so on. The effects of three kinds of external climate conditions, including temperature, humidity, solar radiation intensity, on photovoltaic output power were anal sized in detail in this paper, and then similar days for photovoltaic power prediction were selected based on grey relational analysis. The quantum particle swarm optimization method for optimizing kernel parameters of support vector machine was immediately introduced. In line with the data of similar days and optimization parameters of kernel function, a new power short-term prediction method of the photovoltaic system based on grey relational analysis and quantum particle swarm optimization was put up in this paper. According to the data of photovoltaic output power and meteorological monitoring data of Wulan photovoltaic power station, the method mentioned is likely verified. Instances proved that this new power short-term prediction method has great advantages in terms of speed, accuracy and stability.

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“…In some literature, models have been proposed for modeling of different components on the stand-alone PV. Some methods are based on software simulation namely by using the program such as; PSpice, Matlab Simulink and Labview (Wahid and Hambali, 2015;Ramenah et al, 2014;Mizuki et al, 2014). This article will introduce a model of solar radiation based on weather forecasting system.…”

mentioning

confidence: 99%

Photovoltaic Modeling Methods Based on Matlab Simulink Implementation

Zakri

Nurhalim

Simanulang

et al. 2018

Sinergi

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INTRODUCTIONElectrical technology for the Renewable Energy (RE) uses solar energy source as an alternative source of reliable energy. Some of the problems arising in the photovoltaic system (PV) among others: prediction of PV configuration and battery size, energy consumption prediction, maximum power system and performance analysis of PV system. The PV system modeling is an initial phase to be considered, such as size, identification and simulation applications. In some literature, models have been proposed for modeling of different components on the stand-alone PV. Some methods are based on software simulation namely by using the program such as; PSpice, Matlab Simulink and Labview (Wahid and Hambali, 2015;Ramenah et al., 2014;Mizuki et al., 2014). This article will introduce a model of solar radiation based on weather forecasting system. It produces short-term photovoltaic output predictions from the forecasting information from the meteorological department. Based on the output results of solar radiation and distribution network, then an algorithm can be generated. The prediction model of produced photovoltaic power can predict the output and algorithm in computational speed (Bastidas-Rodríguez et al., 2018;Mai et al., 2017;Lin, 2012). Meng et al. (2014) have proposed to utilize solar power plant (photovoltaic) on a micro grid system with DC voltage source. The battery charging and discharging system is connected to the traction system through a DC bus. For tracking the maximum power point is adopted on the solar power plant. Consequently, if applied for locomotives on working condition and regenerative braking produce a more stable voltage.Akos Baldauf (2015) has developed an RE

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Toward a prediction of the photovoltaic based power production from Experimental Thermal modeling

Cited by 4 publications

References 4 publications

Effect Of Solar Radiation On Module Photovoltaics 100 Wp With Variation of Module Slope Angle

Effect Of Solar Radiation On Module Photovoltaics 100 Wp With Variation of Module Slope Angle

Research on Power Short-term Prediction of the Photovoltaic System Based on Grey Relational Analysis and Quantum Particle Swarm Optimization

Photovoltaic Modeling Methods Based on Matlab Simulink Implementation

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