Photovoltaic failure diagnosis using imaging techniques and electrical characterization

被引:0
|
作者
Daher, Daha Hassan [1 ]
Mathieu, Alexandre [2 ,3 ,4 ]
Abdallah, Asma [1 ]
Mouhoumed, Dek [1 ]
Logerais, Pierre-Olivier [5 ]
Gaillard, Leon [2 ]
Menezo, Christophe [3 ]
机构
[1] Ctr Etud & Rech Djibouti, Lab Energies Nouvelles & Renouvelables, POB 486, Djibouti, Djibouti
[2] Heliocity SAS, 31 Rue Gustave Eiffel, F-38000 Grenoble, France
[3] Univ Savoie Mont Blanc, Solar Acad Grad Sch, LOCIE UMR 5271, CNRS,INES, F-73376 Le Bourget Du Lac, France
[4] CSTB, 24 Rue Joseph Fourier, F-38400 St Martin Dheres, France
[5] Univ Paris Est Creteil, CERTES, IUT Senart Fontainebleau, 36 Rue Georges Charpak, F-77567 Lieusaint, France
来源
EPJ PHOTOVOLTAICS | 2024年 / 15卷
关键词
Photovoltaic fault diagnosis; infrared imaging; ultraviolet fluorescence; electroluminescence; current-voltage (I-V) curves; convolutional neural network; MODULES; DEGRADATION; SILICON; PERFORMANCE; IMPROVEMENT;
D O I
10.1051/epjpv/2024022
中图分类号
O59 [应用物理学];
学科分类号
摘要
Inspections of 48 photovoltaic (PV) modules within a 302.4 kWp solar array were undertaken to expose the presence of defects after 12 years of operation under the harsh environmental conditions of Djibouti. To this end, a multiple-technique testing protocol was conducted including visual inspection (VI), infrared thermography (IR), current-voltage curve characterization (I-V), ultraviolet fluorescence (UVFL) and electroluminescence imaging (EL). The main visible degradation features observed were discoloration, bubbling and snail trails with occurrences of 100%, 93.7% and 2.1% respectively. According to the IR imaging results, hotspots were observed on cells affected by snail trails. IR was combined with convolutional neural network (CNN) techniques to automatically detect the different classes of failures that PV modules may experience. EL imaging reveals that the cracks of the cells underlie the observed snail trails during visual inspection and UVFL imaging. In addition, a decrease in STC power was observed after 12 yr of operation with a median reaching 5.5% corresponding to an average degradation rate of 0.46%/years. Conclusively, fault diagnosis with combined approaches of imaging and electrical techniques is crucial to prevent defects and minimize the investment losses; this will ensure uninterrupted power generation, extended service life and high safety of photovoltaic modules.
引用
下载
收藏
页数:19
相关论文
共 50 条
  • [1] Potential measurement techniques for photovoltaic module failure diagnosis: A review
    Rahman, Md Momtazur
    Khan, Imran
    Alameh, Kamal
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 151
  • [2] Characterization of Nanosecond Pulse Electrical Field Shock Waves using Imaging Techniques
    Mimun, Chris
    Ibey, Bennett L.
    Roth, Caleb C.
    Barnes, Ronald A.
    Sardar, Dhiraj K.
    Beier, Hope. T.
    ENERGY-BASED TREATMENT OF TISSUE AND ASSESSMENT VIII, 2015, 9326
  • [3] Evaluation of Four Imaging Techniques for the Electrical Characterization of Solar Cells
    Berman, Gregory M.
    Call, Nathan J.
    Ahrenkiel, Richard K.
    Johnston, Steven W.
    PHOTOVOLTAIC MATERIALS AND MANUFACTURING ISSUES, 2009, 1123 : 151 - +
  • [4] Electrical characterization of photovoltaic modules using farmland fertility optimizer
    Agwa, Ahmed M.
    El-Fergany, Attia A.
    Maksoud, Hady A.
    ENERGY CONVERSION AND MANAGEMENT, 2020, 217
  • [5] Photovoltaic Modules Diagnosis Using Artificial Vision Techniques for Artifact Minimization
    Menendez, Oswaldo
    Guaman, Robert
    Perez, Marcelo
    Auat Cheein, Fernando
    ENERGIES, 2018, 11 (07):
  • [6] Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology
    Almonacid, Florencia
    Fernandez, Eduardo F.
    Mellit, Adel
    Kalogirou, Soteris
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 75 : 938 - 953
  • [7] Electrical package characterization using differential TDR techniques
    Corey, S
    Smolyansky, D
    ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING, 2000, : 172 - 174
  • [8] Characterization of subsurface pathways contributing to freshwater salinization of urban streams using electrical and electromagnetic imaging techniques
    Hodgins, Grant
    Robinson, Clare E.
    Roy, James W.
    Power, Christopher
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 905
  • [9] Failure Diagnosis Method of Photovoltaic Generator Using Support Vector Machine
    Cho, Kyeong-Hee
    Jo, Hyung-Chul
    Kim, Eung-sang
    Park, Hyang-A
    Park, June Ho
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2020, 15 (04) : 1669 - 1680
  • [10] Failure Diagnosis Method of Photovoltaic Generator Using Support Vector Machine
    Kyeong-Hee Cho
    Hyung-Chul Jo
    Eung-sang Kim
    Hyang-A. Park
    June Ho Park
    Journal of Electrical Engineering & Technology, 2020, 15 : 1669 - 1680