Análisis de sistemas fotovoltaicos en grandes redes
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2024-12-11
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Jaén: Universidad de Jaén
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El TFM analiza el comportamiento de 16 plantas fotovoltaicas (FV) de 100 kWp cada una, conectadas a
una gran red en la Península Ibérica. Las ubicaciones se seleccionan bajo restricciones como pérdidas
por horizonte inferiores al 2% y una distribución en malla que garantiza homogeneidad en latitudes y
longitudes, facilitando la evaluación del impacto en la producción energética en diversas
combinaciones.
La producción se simuló con PVsyst, utilizando datos meteorológicos precisos de PVGIS. Se exportaron
datos horarios para su análisis en Excel, generando gráficos representativos por ubicación y
combinación, como curvas de generación anual, curvas de duración de la salida (CDS), horas de
funcionamiento, energía anual producida y el factor de capacidad (CF). Además, se realizarán
comparaciones entre las distintas ubicaciones y conjuntos.
The TFM analyzes the behavior of 16 photovoltaic (PV) plants, each with a capacity of 100 kWp, connected to a large grid in the Iberian Peninsula. Locations were selected under constraints such as horizon losses below 2% and a grid distribution that guarantees homogeneity in latitudes and longitudes, facilitating the evaluation of the impact on energy production in various combinations. Production was simulated using PVsyst, employing precise meteorological data from PVGIS. Hourly data was exported for analysis in Excel, generating representative graphs per location and combination, such as annual generation curves, duration curves (DCs), operating hours, annual energy produced, and the capacity factor (CF). Additionally, comparisons will be made between different locations and sets.
The TFM analyzes the behavior of 16 photovoltaic (PV) plants, each with a capacity of 100 kWp, connected to a large grid in the Iberian Peninsula. Locations were selected under constraints such as horizon losses below 2% and a grid distribution that guarantees homogeneity in latitudes and longitudes, facilitating the evaluation of the impact on energy production in various combinations. Production was simulated using PVsyst, employing precise meteorological data from PVGIS. Hourly data was exported for analysis in Excel, generating representative graphs per location and combination, such as annual generation curves, duration curves (DCs), operating hours, annual energy produced, and the capacity factor (CF). Additionally, comparisons will be made between different locations and sets.
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