Measurement Interval Effect on Photovoltaic Parameters Estimation

Author:

Mesbahi Oumaima12ORCID,Afonso Daruez12,Tlemçani Mouhaydine12,Bouich Amal3ORCID,Janeiro Fernando M.124ORCID

Affiliation:

1. Department of Mechatronics, University of Évora, 7000-671 Évora, Portugal

2. Instrumentation and Control Laboratory, Institute of Earth Sciences, 7000-671 Évora, Portugal

3. Department of Applied Physics, Institute of Design and Manufacturing (IDF), Polytechnic University of Valencia, 46000 Valencia, Spain

4. Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal

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.

Funder

BRO-CQ

FCT/MCTES

Margarita Salas Fellowship

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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