Journal Article

Measurement Interval Effect on Photovoltaic Parameters Estimation

Mesbahi, Oumaima, Tlemçani, Mouhaydine, Janeiro, Fernando M., Afonso, Daruez, Bouich, Amal

2023

Overview

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.

• Publisher: MDPI AG
• Subject: Case studies / Computer software industry / instruments / Learning / Mathematical models / Measurement / measurements interval / Methods / Nelder–Mead / optimization / Optimization algorithms / Photovoltaic cells / photovoltaic parameters / Physical instruments / Solar energy industry / Students / Teaching / teaching learning-based optimization