Monte Carlo techniques to analyse the electrical mismatch losses in large-scale photovoltaic generators |
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Authors: | F. Iannone G. Noviello A. Sarno |
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Affiliation: | aENEA – Research Center Portici, CP32, 80055 Portici (NA), Italy;bENEA – Mt. Aquilone Test-Side, S.S. 89 km, 178+700 Manfredonia (FG), Italy |
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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. |
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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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