https://doi.org/10.1051/epjpv/2023021
Regular Article
Blind PV temperature model calibration
Faculty of Technology Engineering, KU Leuven, Gebroeders De Smetstraat 1, Ghent, 9000 Flanders, Belgium
* e-mail: Anastasios.Kladas@kuleuven.be
Received:
30
June
2023
Received in final form:
1
September
2023
Accepted:
7
September
2023
Published online: 23 October 2023
The determination of module temperature in a photovoltaic (PV) system is a crucial factor in PV modelling and the assessment of system health status. However, the scarcity of on-site temperature measurements poses a challenge, and existing PV temperature models encounter difficulties in accurately estimating temperatures in systems characterized by unique structural or locational attributes. This paper introduces a novel approach that enables the calibration of PV temperature models without relying on direct temperature measurements. Referred to as blind calibration, this method eliminates the requirement for temperature measurements, thus offering a promising solution to the aforementioned challenges. The method is validated using three datasets, demonstrating accurate PV temperature (TPV) estimation with mean absolute errors below 2 °C. The findings highlight the suitability of the proposed approach for various PV system types, while acknowledging limitations regarding certain system configurations.
Key words: Photovoltaic systems / calibration / dynamic thermal model / DC voltage
© A. Kladas et al., Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
