Feature extraction and health status prediction in PV systems

Oviedo, Edgar Hernando Sepúlveda; Travé-Massuyès, Louise; Subias, Audine; Alonso, Corinne; Pavlov, Marko

doi:10.1016/j.aei.2022.101696

Cited by 8 publications

(2 citation statements)

References 127 publications

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“…Based on bibliometric analysis, one can uncover the development trends in the field of photovoltaic direct current arc fault detection, as well as identify authors and research institutions with high quality and productivity in this field [44]. Moreover, it enables rapid identification of high-quality and highly credible research topics in the field.…”

Section: Global Annual Publication Trend Of Photovoltaic Direct Curre...mentioning

confidence: 99%

“…The introduction of machine learning will provide the system with more powerful data processing and analysis capabilities, enhancing the automatic perception and response to arc faults in photovoltaic systems [63]. Secondly, researchers will tend to engage in interdisciplinary collaborations, integrating image processing, sensing technology, and intelligent algorithms to comprehensively improve the performance of photovoltaic DC arc fault detection systems [44]. By fusing multiple sources of information, comprehensive and accurate identification and localization of arc faults can be achieved, thereby improving the comprehensiveness and practicality of the detection [64].…”

Section: Future Trends and Research Directionsmentioning

confidence: 99%

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Progress of Photovoltaic DC Fault Arc Detection Based on VOSviewer Bibliometric Analysis

Song,

Lu,

et al. 2024

Energies

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This paper presents a review of research progress on photovoltaic direct current arc detection based on VOSviewer bibliometric analysis. This study begins by introducing the basic concept and hazards of photovoltaic DC arcing faults, followed by a summary of commonly used arc detection techniques. Utilizing VOSviewer, the relevant literature is subjected to clustering and visualization analysis, offering insights into research hotspots, trends, and interconnections among different fields. Based on the bibliometric analysis method of VOSviewer software, this paper analyzes the articles published in the last 10 years (2014–2023) on photovoltaic DC fault diagnosis. We analyzed the specific characteristics of 2195 articles on arc failures, including year of publication, author, institution, country, references, and keywords. This study reveals the development trend, global cooperation model, basic knowledge, research hotspots, and emerging frontier of PV DC arc. Future research directions and development trends for photovoltaic DC arc detection are proposed which provides valuable references for further studies and applications in this domain. This comprehensive analysis indicates that photovoltaic DC arc detection technology is expected to find broader applications and greater promotion in the future.

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Section: Global Annual Publication Trend Of Photovoltaic Direct Curre...mentioning

confidence: 99%