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Available from: Giuseppe Marco Tina,
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    • "The present paper is developed based on the analytical expression of probability density function of electrical output power generated by a photovoltaic system. In [3],[4],[5] detailed analytical approaches are developed based on the analytical relation between the photovoltaic output power and the irradiation level, and also on the probability density function of clearness index proposed by Holland and Huget [6]. Thus, the probability density function of monthly hourly output power of a photovoltaic system can be expressed as follows: "

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    • "To calculate the PVS probabilistic model the irradiance on a surface with inclination I  (kW/m 2 ), has been expressed as a function of the hourly clearness index, k th [16] by the following expression: "
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    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).
    Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on; 01/2010
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