Measurement Interval Effect on Photovoltaic Parameters Estimation

Oumaima Mesbahi, Daruez Afonso, Mouhaydine Tlemçani, Amal Bouich and Fernando M. Janeiro ()
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Oumaima Mesbahi: Department of Mechatronics, University of Évora, 7000-671 Évora, Portugal
Daruez Afonso: Department of Mechatronics, University of Évora, 7000-671 Évora, Portugal
Mouhaydine Tlemçani: Department of Mechatronics, University of Évora, 7000-671 Évora, Portugal
Amal Bouich: Department of Applied Physics, Institute of Design and Manufacturing (IDF), Polytechnic University of Valencia, 46000 Valencia, Spain
Fernando M. Janeiro: Department of Mechatronics, University of Évora, 7000-671 Évora, Portugal

Energies, 2023, vol. 16, issue 18, 1-18

Abstract: Recently, the estimation of photovoltaic parameters has drawn the attention of researchers, and most of them propose new optimization methods to solve this problem. However, the process of photovoltaic parameters estimation can be affected by other aspects. In a real experimental setup, the I–V characteristic is obtained with IV tracers. Depending on their technical specifications, these instruments can influence the quality of the I–V characteristic, which in turn is inevitably linked to the estimation of photovoltaic parameters. Besides the uncertainties that accompany the measurement process, a major effect on parameters estimation is the size of the measurement interval of current and voltage, where some instruments are limited to measure a small portion of the characteristic or cannot reach their extremum regions. In this paper, three case studies are presented to analyse this phenomenon: different characteristic measurement starting points and different measurement intervals. In the simulation study the parameters are extracted from 1000 trial runs of the simulated I-V curve. The results are then validated using an experimental study where an IV tracer was built to measure the I–V characteristic. Both simulation and experimental studies concluded that starting the measurements at the open circuit voltage and having an interval spanning a minimum of half of the I–V curve results in an optimal estimation of photovoltaic parameters.

Keywords: photovoltaic parameters; measurements interval; instruments; optimization; teaching learning-based optimization; Nelder–Mead (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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