Time frame measurements impact on probabilistic behaviour of photovoltaic systems

For a generation system including photovoltaic systems is important to assess and understand how different time frames for the irradiation measurements can impact the ability of the system generating capacity to meet the total system load. The electrical output power generated by a photovoltaic system is evaluated using the hourly average clearness index values. The main objective of this paper is to evaluate the effects of different time frames, over that the measurement data are recorded, on the probabilistic behaviour of a grid-connected photovoltaic system.

[1]  K. Hollands,et al.  A probability density function for the clearness index, with applications , 1983 .

[2]  Florin Munteanu.  A PROBABILISTIC MODEL FOR POWER GENERATION ADEQUACY EVALUATION , 2009 .

[3]  Manuel Castro,et al.  On the complexity of radiation models for PV energy production calculation , 2008 .

[4]  L. Wald,et al.  On the clear sky model of the ESRA — European Solar Radiation Atlas — with respect to the heliosat method , 2000 .

[5]  Gilles Notton,et al.  Performance evaluation of various hourly slope irradiation models using Mediterranean experimental data of Ajaccio , 2006 .

[6]  Salvina Gagliano,et al.  Hybrid solar/wind power system probabilistic modelling for long-term performance assessment , 2006 .

[7]  Gilles Notton,et al.  PREDICTING HOURLY SOLAR IRRADIATIONS ON INCLINED SURFACES BASED ON THE HORIZONTAL MEASUREMENTS: PERFORMANCES OF THE ASSOCIATION OF WELL-KNOWN MATHEMATICAL MODELS , 2006 .

[8]  S. Barbaro,et al.  Diffuse solar radiation statistics for Italy , 1981 .

[9]  Salvina Gagliano,et al.  Probabilistic modelling of hybrid solar/wind power system with solar tracking system , 2011 .

[10]  Gilles Notton,et al.  Calculation on an hourly basis of solar diffuse irradiations from global data for horizontal surfaces in Ajaccio , 2004 .

[11]  Manuel Alonso Castro Gil,et al.  On the complexity of radiation models for PV energy production calculation , 2008 .

[12]  W. G. Watson,et al.  Reliability Modeling in Electric Power Systems , 1979 .

[13]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .