Considering the distributed generation from solar energy, the topics of this paper are multiple: firstly, to analyze accurate measurements of solar irradiance from pyranometer and to compare them with 1-3 day weather forecasts by the suitable statistical error parameters. Then, to describe a detailed PhotoVoltaic (PV) conversion model, from the solar irradiance to the AC power profile delivered to the utility grid, and to compare the simulation results with the 15-min mean power measured by the energy-meter of a real grid-connected PV system with megawatt size. The results show that an adequate accuracy can be obtained and that useful information can be provided for fault diagnosis of a portion of a PV array.

Weather forecast-based power predictions and experimental results from photovoltaic systems / Chicco, Gianfranco; Cocina, VALERIA CONCETTA; DI LEO, Paolo; Spertino, Filippo. - ELETTRONICO. - (2014), pp. 342-346. (Intervento presentato al convegno 22nd International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 tenutosi a Ischia, Italy nel 18-20 June 2014) [10.1109/SPEEDAM.2014.6872086].

Weather forecast-based power predictions and experimental results from photovoltaic systems

CHICCO, GIANFRANCO;COCINA, VALERIA CONCETTA;DI LEO, PAOLO;SPERTINO, Filippo
2014

Abstract

Considering the distributed generation from solar energy, the topics of this paper are multiple: firstly, to analyze accurate measurements of solar irradiance from pyranometer and to compare them with 1-3 day weather forecasts by the suitable statistical error parameters. Then, to describe a detailed PhotoVoltaic (PV) conversion model, from the solar irradiance to the AC power profile delivered to the utility grid, and to compare the simulation results with the 15-min mean power measured by the energy-meter of a real grid-connected PV system with megawatt size. The results show that an adequate accuracy can be obtained and that useful information can be provided for fault diagnosis of a portion of a PV array.
2014
9781479947492
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2583541
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