This work addresses the problem of the estimation of the next-day electrical energy production of a photovoltaic system, using temperature and global radiation measurements. Based on the well-known single-diode, five-parameters PV cell model, the paper proposes a different representation of the temperature-dependent parameters, which are optimized based on experimental field data. Suitable sliding window and forgetting factor techniques are adopted, as well as a Taylor expansion of produced currents with respect to irradiance and temperature. The analysis shows that all these modeling enhancements can significantly improve the accuracy of the energy estimation process.

Energy production estimation of a photovoltaic system with temperature-dependent coefficients

PIRODDI, LUIGI;FERRARINI, LUCA
2012-01-01

Abstract

This work addresses the problem of the estimation of the next-day electrical energy production of a photovoltaic system, using temperature and global radiation measurements. Based on the well-known single-diode, five-parameters PV cell model, the paper proposes a different representation of the temperature-dependent parameters, which are optimized based on experimental field data. Suitable sliding window and forgetting factor techniques are adopted, as well as a Taylor expansion of produced currents with respect to irradiance and temperature. The analysis shows that all these modeling enhancements can significantly improve the accuracy of the energy estimation process.
2012
Proceedings of the 3rd IEEE International Conference on Sustainable Energy Technologies (ICSET 2012)
978-1-4577-1871-7
AUT
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/674144
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