In this paper we propose a method for the estimation of the parameters of the well-known PVUSA model of a photovoltaic plant, to be used for generation forecasting purposes. We address this problem in a scenario where measurements of meteorological variables (i.e. solar irradiance and temperature) at the plant site are not available. The proposed approach efficiently exploits only power generation measurements and theoretical clear-sky irradiance, and is characterized by very low computational effort. Experimental validation is also presented. The proposed procedure is currently being deployed at several DSO control centres in Italy.
Bianchini, G., Paoletti, S., Vicino, A., F., C., F., N. (2013). Model estimation of photovoltaic power generation using partial information. In Proc. of 4th IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies Europe (pp.1-5). IEEE [10.1109/ISGTEurope.2013.6695363].
Model estimation of photovoltaic power generation using partial information
BIANCHINI, GIANNI;PAOLETTI, SIMONE;VICINO, ANTONIO;
2013-01-01
Abstract
In this paper we propose a method for the estimation of the parameters of the well-known PVUSA model of a photovoltaic plant, to be used for generation forecasting purposes. We address this problem in a scenario where measurements of meteorological variables (i.e. solar irradiance and temperature) at the plant site are not available. The proposed approach efficiently exploits only power generation measurements and theoretical clear-sky irradiance, and is characterized by very low computational effort. Experimental validation is also presented. The proposed procedure is currently being deployed at several DSO control centres in Italy.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/45123
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