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Power system resilience during 2001–2022: A bibliometric and correlation analysis.

Authors :
Venkatasubramanian, Balaji V.
Panteli, Mathaios
Source :
Renewable & Sustainable Energy Reviews. Dec2023, Vol. 188, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Research on power system resilience has increased due to frequent natural hazards. Many reviews have been performed on power system resilience, focusing on specific topics such as the application of energy storage systems and microgrids for resilience enhancement. To comprehensively analyze the work carried out on power system resilience, this paper presents a methodology to perform quantitative analyses that combines bibliometric and correlation analyses. For this reason, 851 research publications from popular databases, namely Scopus and Web of Science, spanning from 2001 to 2022, were obtained for analysis. In the quantitative analysis, bibliometric measures are evaluated and analyzed to identify the most productive elements (e.g., countries, papers, journals, and institutions), keyword co-occurrences, and track the thematic evolution of authors' keywords. Additionally, hazard metrics such as risk against natural hazards and word count of natural hazards are proposed to reflect the event-specific risk level of a country and its progress in event-specific resilience research. These metrics are later utilized to perform correlation analyses along with bibliometric measures. This correlation aims to identify lesser-explored natural hazards and countries with the potential for event-specific resilience studies. Overall, this study offers insights into power system resilience trends and emerging areas. It emphasizes less-attended, highly exposed natural hazards, helping prioritize research for future resilient models to address their unique challenges. • Bibliometric and Correlation Analyses were performed using 851 resources. • Identify top countries, institutions, journals, and cited papers. • Perform keyword co-occurrence, its evolution, and visualize trends using diagrams. • Correlation analysis between resilience publications and risk of natural hazards. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13640321
Volume :
188
Database :
Academic Search Index
Journal :
Renewable & Sustainable Energy Reviews
Publication Type :
Academic Journal
Accession number :
173234750
Full Text :
https://doi.org/10.1016/j.rser.2023.113862