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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Jose Galarza
National University of the Center of Peru
Computer Science & IT Electrical & Electronics Engineering

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Methodology to improve the accuracy of the model in photovoltaic systems Jose Galarza
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp28-37

Abstract

The present research proposes a methodology to improve the estimation of the unknown parameters of the unitary diode model of the photovoltaic panel. To check the accuracy, a comparison with other methodologies known in the scientific literature is made. Through an iterative process, the best value of the series resistance and the ideality factor for different temperature and irradiance conditions are identified. The objective is to determine a simplified model that accurately estimates the power supplied by a photovoltaic installation. To check the effectiveness of the methodology, a comparison was made between the power estimated by the model and the power measurements of an experimental photovoltaic installation. The results based on statistical indicators show that the proposed methodology determines a simplified model of the unitary diode with a better capacity and accuracy with respect to the known methodologies.
Quality control test for unreliable meteorological and electrical photovoltaic measurements Jose Galarza; David Condezo
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp4845-4855

Abstract

Meteorological and electrical measurements using predictive computational techniques have been used in the analysis of photovoltaic system operation and maintenance. International standards establish general and no standardized criteria on the quality control and validation of these measurements. In the present work, a methodology has been developed to correct erroneous photovoltaic experimental measurements: radiation, temperature, current, and voltage. We validated the proposed approach with 12 case studies with more than 5,000 meteorological and electric measurements from an experimental 3 kWp photovoltaic system. The approach is based on a set of non-intrusive criteria developed from the one diode model, the approach allowed to correct about 80% of the erroneous data, 30% more using polynomial regression. As for the regression methodology, we have shown that the proposed methodology includes 4 meteorologicalelectrical variables allowing a more rigorous analysis. For 75% of the cases evaluated, the proposed methodology achieves a better data correction.
Co-Authors David Condezo