Title :
Probabilistic energy performance comparison among flat and tracking PV systems
Author :
Tina, G.M. ; Graditi, G. ; Gagliano, S. ; Merola, A.
Author_Institution :
D.I.E.E.S., Univ. di Catania, Catania, Italy
Abstract :
This paper presents an energy performance study based on probabilistic model for the power produced by a PhotoVoltaic System (PVS). Three different PVSs configurations have been studied and compared: flat, one-axis and two axis tracking systems. In particular, the impact of a tracking system on the probability density function (PDF) of the power produced by a PVS has been evaluated through the first fourth moments (mean, variance, skewness and kurtosis) of a PDF. The simulations results have been compared with experimental data related to a 9.6 kWp PV plant installed in ENEA research center located in Portici, Napoli (Italy).
Keywords :
performance evaluation; photovoltaic power systems; probability; tracking; PDF; energy performance; flat PV systems; photovoltaic system; power production; probabilistic model; probability density function; tracking system; AC generators; Automation; Character generation; Photovoltaic systems; Power electronics; Power generation; Power system modeling; Probability density function; Solar power generation; Solar radiation; PV systems; energy performance; flat; probabilistic model; tracking;
Conference_Titel :
Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4986-6
Electronic_ISBN :
978-1-4244-7919-1
DOI :
10.1109/SPEEDAM.2010.5542210
