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

Lei Song, Chunguang Lu, Chen Li, Yongjin Xu, Lin Liu and Xianbo Wang ()
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Lei Song: Marketing Service Center of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311152, China
Chunguang Lu: Marketing Service Center of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311152, China
Chen Li: Marketing Service Center of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311152, China
Yongjin Xu: Marketing Service Center of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311152, China
Lin Liu: State Grid Hangzhou Xiaoshan District Power Supply Company, Hangzhou 311200, China
Xianbo Wang: Hainan Institute of Zhejiang University, Sanya 572025, China

Energies, 2024, vol. 17, issue 11, 1-17

Abstract: 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.

Keywords: photovoltaic DC arc; fault detection; research progress; bibliometric analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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