Hourly PV production estimation by means of an exportable multiple linear regression model
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Trigo González, Mauricio; Batlles Garrido, Francisco Javier; Alonso Montesinos, Joaquín Blas; Ferrada Martínez, Pablo; Sagrado Martínez, José Del; [et al.]Fecha
2019Resumen
The current state of photovoltaic (PV) electricity integration is demanding several strategies that control the optimal performance of PV plants. Cleaning the PV plant, controlling PV production or the estimation of the electricity generation, are some relevant items related to the PV systems. In general, the soiling, the clouds and another climatological factorsare involved in the final PV production. For knowing the per- formance of a PV system, it is necessity to model the PV plant behavior according to these relevant variables. In this work, a Multiple Linear Regression (MLR) model has been presented to determine the hourly PV production by using the Performance Ratio (PR) factor, according to different technologies: Cadmium Telluride (CdTe) and multicrystallinesilicon (mc-Si). In this sense, data from several PV plants were studied in different Chile regions: San Pedro de Atacama and Antofagasta. With this study, it has been determined that the model can be extrapolated to differe...
Palabra/s clave
PV estimation
CdTe
Mc-Si
Multiple linear regression
Solar energy
Performance ratio