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Usage of non-invasive technique to diagnose a photovoltaic plant

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Resumo:The present work utilizes an intelligent technique to lower photovoltaic systems’ operating and maintenance costs. In 2013, inverter manufacturer Huawei pioneered this concept with the development of multi-MPPT (Maximum Power Point Tracking) string inverters covering 14 different types of faults of photovoltaic systems. So far, the main advantage that the authors of this work have identified when using Huawei’s “Smart I-V Curve Diagnosis” function is the ease with which mismatch situations can be perceived and located in the photovoltaic plant, without having to install individual optimizers in each of the modules. This methodology required a specific data logger and a software license. Additionally it is only available for large inverters, over 100 kW. The “Smart” function indicates the faulty string. To identify the damaged module, the authors used thermographic images. The diagnostic approach showed that all strings achieved the nominal. Fill Factor (FF) of 78%. Commissioning tests concluded all strings were normal, but I4S1 and I4S2 tests required repetition due to their unique configuration. A fault in module 1 of I4S7, undetected during commissioning, was later confirmed by Smart I-V Curve Diagnosis and infrared thermography.
Autores principais:Esposito, Marcelo
Outros Autores:Calegari, Renato; Guerreiro Marques, Joaquim; Mesbahi, Oumaima; Tlemçani, Mouhaydine
Assunto:Photovoltaic inverter diagnosis intelligence artificial
Ano:2025
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade de Évora
Idioma:português
Origem:Repositório Científico da Universidade de Évora

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