Measurement Interval Effect on Photovoltaic Parameters Estimation

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 char...

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Main Authors: Oumaima Mesbahi, Daruez Afonso, Mouhaydine Tlemçani, Amal Bouich, Fernando M. Janeiro
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/18/6460
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author Oumaima Mesbahi
Daruez Afonso
Mouhaydine Tlemçani
Amal Bouich
Fernando M. Janeiro
author_facet Oumaima Mesbahi
Daruez Afonso
Mouhaydine Tlemçani
Amal Bouich
Fernando M. Janeiro
author_sort Oumaima Mesbahi
collection DOAJ
description 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.
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spelling doaj.art-3984b4dafc8544ef88676a6e7fee876b2023-11-19T10:25:28ZengMDPI AGEnergies1996-10732023-09-011618646010.3390/en16186460Measurement Interval Effect on Photovoltaic Parameters EstimationOumaima Mesbahi0Daruez Afonso1Mouhaydine Tlemçani2Amal Bouich3Fernando M. Janeiro4Department of Mechatronics, University of Évora, 7000-671 Évora, PortugalDepartment of Mechatronics, University of Évora, 7000-671 Évora, PortugalDepartment of Mechatronics, University of Évora, 7000-671 Évora, PortugalDepartment of Applied Physics, Institute of Design and Manufacturing (IDF), Polytechnic University of Valencia, 46000 Valencia, SpainDepartment of Mechatronics, University of Évora, 7000-671 Évora, PortugalRecently, 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.https://www.mdpi.com/1996-1073/16/18/6460photovoltaic parametersmeasurements intervalinstrumentsoptimizationteaching learning-based optimizationNelder–Mead
spellingShingle Oumaima Mesbahi
Daruez Afonso
Mouhaydine Tlemçani
Amal Bouich
Fernando M. Janeiro
Measurement Interval Effect on Photovoltaic Parameters Estimation
Energies
photovoltaic parameters
measurements interval
instruments
optimization
teaching learning-based optimization
Nelder–Mead
title Measurement Interval Effect on Photovoltaic Parameters Estimation
title_full Measurement Interval Effect on Photovoltaic Parameters Estimation
title_fullStr Measurement Interval Effect on Photovoltaic Parameters Estimation
title_full_unstemmed Measurement Interval Effect on Photovoltaic Parameters Estimation
title_short Measurement Interval Effect on Photovoltaic Parameters Estimation
title_sort measurement interval effect on photovoltaic parameters estimation
topic photovoltaic parameters
measurements interval
instruments
optimization
teaching learning-based optimization
Nelder–Mead
url https://www.mdpi.com/1996-1073/16/18/6460
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AT amalbouich measurementintervaleffectonphotovoltaicparametersestimation
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