S. V. Valevich, Master of Engineering, Graduate Student, e-mail: whenthegroundcavedin@gmail.com,
V. S. Osipovich, PhD., Associate Professor, e-mail: v.osipovich@bsuir.by, Belarussian State University of Informatics and Radioelectronics, Minsk, 220013, Republic of Belarus,
I. Kruse, SEO, e-mail: ingmar.kruse@sunsniffer.de, SunSniffer GmbH & Co. KG, Nuremberg, 90489, Federal Republic of Germany, R. M. Asimov, PhD., SEO, e-mail: roustam.asimov@sensotronica.com, Sensotronica Ltd, Minsk, 220010, Republic of Belarus

Information Support for Monitoring of Solar Power Station's Technical State

Results of the software tool which implements the Digital Twin concept for the PV module are presented. The possibility of transition from the time series of the measured PV module parameters to the vector of internal electrical parameters obtained by creating its digital twin is demonstrated. The possibility of fault detection automation for PV modules is presented. The influence and interconnection of PV module fault types on the digital twin accuracy are analyzed.
Keywords: PV module, Digital Twin, Physical and Mathematical Model, I-V Characteristics, Parameter Time Series, Internal Electrical Model Parameters

P. 594–601