Title: | Determination PV Module Technical Condition |
Authors: | Bělík, Milan Rubanenko, Olena |
Citation: | BĚLÍK, M. RUBANENKO, O. Determination PV Module Technical Condition. Renewable Energy and Power Quality Journal (RE&PQJ), 2021, roč. 19, č. September 2021, s. 604-608. ISSN: 2172-038X |
Issue Date: | 2021 |
Publisher: | European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ) |
Document type: | článek article |
URI: | 2-s2.0-85114702423 http://hdl.handle.net/11025/51579 |
ISSN: | 2172-038X |
Keywords in different language: | photovoltaic panels;technical condition;residual resource coefficient |
Abstract in different language: | The paper focuses on the determination of technical conditions and degradation of photovoltaic modules installed in grid-on operated photovoltaic systems in Ukraine and the Czech Republic. Detected malfunctions of PV modules are classified and Fault Tree Analyses (FTA) is created for particular PV modules. For assessment of the technical condition of the PV modules it is proposed to use residual resource index (RRI), that is being successfully used for determination of technical condition of transformers, breakers and synchronous generators. The main contribution is the method for the detection of photovoltaic modules condition with the use of a neuro-fuzzy network based on the experience of operational (maintenance) staff of particular plants. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). |
Rights: | © European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ) |
Appears in Collections: | Články / Articles (KEE) Články / Articles (RICE) OBD |
Files in This Item:
File | Size | Format | |
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360-21-belik.pdf | 1,68 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/51579
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