This work deals with the problem of estimating a photovoltaic generation forecasting model in scenarios where measurements of meteorological variables (i.e., solar irradiance and temperature) at the plant site are not available. A novel algorithm for the estimation of the parameters of the well-known PVUSA model of a photovoltaic plant is proposed. Such a method is characterized by a low computational complexity, and efficiently exploits only power generation measurements, a theoretical clear-sky irradiance model, and temperature forecasts provided by a meteorological service. The proposed method is validated on real data.

Bianchini, G., Pepe, D., Vicino, A. (2020). Estimation of photovoltaic generation forecasting models using limited information. AUTOMATICA, 113 [10.1016/j.automatica.2019.108688].

Estimation of photovoltaic generation forecasting models using limited information

Bianchini, Gianni
;
Pepe, Daniele;Vicino, Antonio
2020-01-01

Abstract

This work deals with the problem of estimating a photovoltaic generation forecasting model in scenarios where measurements of meteorological variables (i.e., solar irradiance and temperature) at the plant site are not available. A novel algorithm for the estimation of the parameters of the well-known PVUSA model of a photovoltaic plant is proposed. Such a method is characterized by a low computational complexity, and efficiently exploits only power generation measurements, a theoretical clear-sky irradiance model, and temperature forecasts provided by a meteorological service. The proposed method is validated on real data.
Bianchini, G., Pepe, D., Vicino, A. (2020). Estimation of photovoltaic generation forecasting models using limited information. AUTOMATICA, 113 [10.1016/j.automatica.2019.108688].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1085792