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Analytical versus Neural Real-time Simulation of a Photovoltaic Generator based on a DC-DC Converter (Contributo in atti di convegno)

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Analytical versus Neural Real-time Simulation of a Photovoltaic Generator based on a DC-DC Converter (Contributo in atti di convegno) (literal)

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Alternative label

M. C. Di Piazza, M. Pucci, A. Ragusa, G. Vitale (2009)
Analytical versus Neural Real-time Simulation of a Photovoltaic Generator based on a DC-DC Converter
in The IEEE Energy Conversion Congress and Exposition, San Jose, California, USA., 2009
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proceedings of Conference record, Industry Applications Society, IEEE-IAS Annual Meeting (literal)

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This paper presents a simulator of a PV (photovoltaic) field where the current-voltage characteristic is obtained either with a fully analytical model or with a numerical model based on a Growing Neural Gas (GNG) Network. The power stage is obtained with a DC-DC buck converter driven by the current-voltage-irradiance-temperature relation of the PV array. The improvements introduced here, respect to previous works, are the following: 1) the mathematical model is given as a continuous surface in the irradiance domain, 2) a relation between temperature and irradiance is obtained by a LSR (Leasr Square Regression) method, 3) the thermal constant of the PV field is introduced, 4) a lower number of neurons is used, 5) a better learning of the data is achieved, 6) an experimental prototype of higher rating has been devised and constructed. For both the approaches a more performing control technique of the converter has been used. Finally a PV simulator prototype is experimentally tested. (literal)

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Titolo

Analytical versus Neural Real-time Simulation of a Photovoltaic Generator based on a DC-DC Converter (literal)

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Abstract

This paper presents a simulator of a PV (photovoltaic) field where the current-voltage characteristic is obtained either with a fully analytical model or with a numerical model based on a growing neural gas (GNG) network. The power stage is obtained with a DC-DC buck converter driven by the current-voltage-irradiance-temperature relation of the PV array. The improvements introduced here, respect to previous works, are the following: 1) the mathematical model is given as a continuous surface in the irradiance domain, 2) a relation between temperature and irradiance is obtained by a LSR (lease square regression) method, 3) the thermal constant of the PV field is introduced, 4) a lower number of neurons is used, 5) a better learning of the data is achieved, 6) an experimental prototype of higher rating has been devised and constructed. For both the approaches a more performing control technique of the converter has been used. Finally a PV simulator prototype is experimentally tested. (literal)

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