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Monte Carlo techniques to analyse the electrical mismatch losses in large-scale photovoltaic generators
Authors:F. Iannone   G. Noviello  A. Sarno
Affiliation:aENEA – Research Center Portici, CP32, 80055 Portici (NA), Italy;bENEA – Mt. Aquilone Test-Side, S.S. 89 km, 178+700 Manfredonia (FG), Italy
Abstract:In large-scale photovoltaic generators, the arrangement of modules with different electrical characteristics could involve a considerable mismatch between the single components resulting in a power loss. This means the actual power is less than the sum of the maximum output powers of the individual PV modules, operating at same irradiance-temperature conditions. To reduce the mismatch losses and to calculate it under operating conditions, a statistical approach based on Monte Carlo simulation techniques, has been developed and validated. The simulation model shows that it is possible to meet the required mismatch level, with a random arrangement, starting from a modules population characterized in terms of short circuit current, Isc and open circuit voltage Voc, by a probability density function with a imposed variance. The method has been successfully applied for a 100 kWp standard unit photovoltaic generator, the computational results have shown good agreement with the experimental data.
Keywords:Solar cells   Monte Carlo methods   Computer simulation   Mathematical models   Probability density function   Short circuit currents   Computational methods   Data reduction   Electric losses   Random processes   Electrical mismatch losses
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