Junction Temperature Prediction and Lifetime Assessment in a PV Inverter Using a 10-year Mission profile

Junction Temperature Prediction and Lifetime Assessment in a PV Inverter Using a 10-year Mission profile

The expansion of great-scale photovoltaic (PV) power plants indicates the need for an accurate lifetime assessment of inverters to maintain energy supply availability. In this context, the study contributes in two ways. First, we use machine-learning (ML) models for junction temperature prediction....

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Bibliographic Details
Main Authors: Andrei C. Ribeiro, Rômullo R. M. Carvalho, Francisco V. E. Lemos, João P. C. Silveira, Pedro J. S. Neto, Carlos E. Beluzo, Tárcio A. S. Barros
Format: Article
Language:English
Published: Associação Brasileira de Eletrônica de Potência 2024-10-01
Series:Eletrônica de Potência
Subjects:
junction temperature prediction
lifetime assessment
machine-learning models
mission profile
photovoltaic inverter reliability
Online Access:https://journal.sobraep.org.br/index.php/rep/article/view/958

Internet

https://journal.sobraep.org.br/index.php/rep/article/view/958

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