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....

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	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:	Artigo
Sprog:	Inglês
Udgivet:	Associação Brasileira de Eletrônica de Potência 2024-10-01
Serier:	Eletrônica de Potência
Fag:	junction temperature prediction lifetime assessment machine-learning models mission profile photovoltaic inverter reliability
Online adgang:	https://journal.sobraep.org.br/index.php/rep/article/view/958
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