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Ramos H. Rubén
Solar Energy Research Center, Reparto Abel Santamaría, Micro 3, Santiago de Cuba, Cuba

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Fault Diagnostic Methodology for Grid-Connected Photovoltaic Systems Proenza Y. Roger; Camejo C. José Emilio; Ramos H. Rubén
Journal La Multiapp Vol. 2 No. 2 (2021): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v2i2.339

Abstract

This research focuses on the design of a fault diagnosis methodology to contribute to the improvement of efficiency, maintainability and availability indicators of Grid-Connected Photovoltaic Systems. To achieve this, we start from the study of the mathematical model of the photovoltaic generator, then, a procedure is performed to quantify the operational losses of the photovoltaic generator and adjust the mathematical model of this to the real conditions of the system, through a polynomial adjustment. A real system of nominal power 7.5 kWp installed in the Solar Energy Research Center of the province of Santiago de Cuba is used to evaluate the proposed methodology. Based on the results obtained, the proposed approach is validated to demonstrate that it successfully supervises the system. The methodology was able to detect and identify 100% of the simulated failures and the tests carried out had a maximum false alarm rate of 0.22%, evidencing its capacity.
Validation of the procedure: Quantification of the degradation index of Photovoltaic Grid Connection Systems Proenza Y. Roger; Camejo C. José Emilio; Ramos H. Rubén
Journal La Multiapp Vol. 2 No. 5 (2021): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v2i5.492

Abstract

The results obtained from the validation of the procedure ‟Quantification of the degradation index of Photovoltaic Grid Connection Systems” are presented, using statistical parameters, which corroborate its accuracy, achieving a coefficient of determination of 0.9896, a percentage of the root of the mean square of the error RMSPE = 1.498% and a percentage of the mean absolute error MAPE = 1.15%, evidencing the precision of the procedure.