Details

Autor(en) / Beteiligte

• Adouni, Amel
• Elmellah, Khawla
• Chariag, Dhia
• Sbita, Lassaad

Titel

DC-DC converter fault diagnostic in PV system

Ist Teil von

• 2017 International Conference on Green Energy Conversion Systems (GECS), 2017, p.1-7

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE Xplore

Beschreibungen/Notizen

• The photovoltaic (PV) system productivity is a decisive factor. To achieve a high productivity, the system availability should be checked. So even under a faulty situation, the system should operate continuously. As a proposed solution, the fault tolerant control (FTC) is recommended. In advance of FTC strategy, the fault diagnosis should be achieved. This paper deals with the open circuit fault occurred in the DC-DC converter. The Artificial Neural Network (ANN) is used to estimate the current and the voltage feeding the resistive load. These signals are compared to the measured ones. So, the proposed approach allows generating different signals in order to detect and to isolate the open circuit fault. The signals are the residuals and the flags. The fault is successfully detected and isolated.