Poster Abstract: Algorithms for Condition Monitoring of Complex Power Electronic Systems in Photovoltaics
Loeffler, Dominik
Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
Rapid growth in solar power generation necessitates robust condition monitoring systems to ensure operational reliability of solar power plants, with a particular emphasis on inverters, whose optimal performance and safety are vital for maximizing energy production and minimizing downtime. The primary objective of this contribution is to devise a novel methodology for the condition monitoring of inverters in solar plants, employing advanced time series prediction techniques. An overview of the related PhD project status and its motivation is presented, followed by the research questions. Preliminary results using a reservoir computing (RC) approach for time series forecasting are presented, before concluding with an outlook on the potential impact of this research.
October / 2023
conference
OFFIS Autoren
