The PV System Doctor – Comprehensive diagnosis of PV system installations

Yin, Zhang; Sakhuja, Mridul; Lim, Fang Jeng; Tay, Stephen En Rong; Tan, C. C.; Bieri, Monika; Krishnamurthy, Vijay; Wang, Darryl; Krishnakumar, P.; Ha, James; Zhao, Lu; Reindl, Thomas

doi:10.1016/j.egypro.2017.09.404

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…Proposed module degradation factor formula to find the degradation. Zhang et al [84] 2018 It can be used to find the microcracks and hotspots and detect suspicious defects.…”

Section: Authorsmentioning

confidence: 99%

Recent research and developments of degradation assessment and its diagnosis methods for solar PV plant: a review

Verma,

Yadav

2024

IJAPE

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The world is moving forward to a transition in the form of increasing the contribution of renewable energy sources in the energy sector, and among these, solar photovoltaic-based power generation is catching pace. Several factors are responsible for the lowering of outputs due to different degradation causes such as hotspots, corrosion, humidity, ultraviolet (UV) irradiation, temperature effects, dust, aging, weathering, yellowing, snail trails, discoloration, junction box failure, delamination, cracks, and faults from the solar photovoltaic (PV) plants. This paper presents a comprehensive review of the various form of degradation and their implications on solar PV power plant performance. The review has been carried out considering the different degradation causes and their identification methods in solar PV plant. Further, the analysis has been done on the basis of the earlier studies to understand the rates of degradation for various solar PV power plants in various climatic conditions. The PV technologies used in solar power plants are also responsible for the change in the performance of power plants over time; therefore, degradation based on different solar PV cell technologies is also analyzed. The visual inspection tools like thermal imaging with IR cameras help identify areas with abnormal heat patterns, indicating potential issues like cell or interconnect failures, loose electrical connections, or bypass diode malfunctions while EL cameras are used to identify low-level electrical excitation and defects such as cracks, hotspots, and cell-level degradation.

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“…Proposed module degradation factor formula to find the degradation. Zhang et al [84] 2018 It can be used to find the microcracks and hotspots and detect suspicious defects.…”

Section: Authorsmentioning

confidence: 99%

Recent research and developments of degradation assessment and its diagnosis methods for solar PV plant: a review

Verma,

Yadav

2024

IJAPE

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“…In addition to the usual components of protection [ 9 ] and visual solutions [ 20 ], advanced fault detection methods are developed to enhance FDD and increase the PV system reliability. Four types of advanced FDD can be distinguished: A model-based diagnostics method; Real-time measurements; An Output Signal Analysis (OSA); A machine learning-based diagnosis.…”

Section: Introductionmentioning

confidence: 99%

PV System Failures Diagnosis Based on Multiscale Dispersion Entropy

Lebreton

Kbidi

Graillet

et al. 2022

Entropy

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Photovoltaic (PV) system diagnosis is a growing research domain likewise solar energy’s ongoing significant expansion. Indeed, efficient Fault Detection and Diagnosis (FDD) tools are crucial to guarantee reliability, avoid premature aging and improve the profitability of PV plants. In this paper, an on-line diagnosis method using the PV plant electrical output is presented. This entirely signal-based method combines variational mode decomposition (VMD) and multiscale dispersion entropy (MDE) for the purpose of detecting and isolating faults in a real grid-connected PV plant. The present method seeks a low-cost design, an ease of implementation and a low computation cost. Taking into account the innovation of applying these techniques to PV FDD, the VMD and MDE procedures as well as parameters identification are carefully detailed. The proposed FFD approach performance is assessed on a real rooftop PV plant with experimentally induced faults, and the first results reveal the MDE approach has good suitability for PV plants diagnosis.

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