Intelligent Operation and Maintenance Strategies for Power Systems Research: A Bibliometric Analysis of co-citation and co-word Analysis

Smart grids have witnessed substantial developments in power systems and have shaped a new trajectory in power system research. This study identifies the major themes and research trends in the intelligent operation and maintenance of power systems through a bibliometric analysis of 1005 articles from the Web of Science database. The main findings show three major co-citation clusters: 'Fundamental power system theories such as wireless channel state detection and transmission optimization, "Application of artificial intelligence and optimization algorithms in power systems" and "Wireless sensing networks, software-defined networks and other wireless communication network control technologies". The co-citation analysis also shows the prominent themes of "power information", "Internet of Things", and "AI-driven power systems". The co-citation analysis suggests new theoretical directions for power system operation and maintenance and the role of optimization algorithms in the development of sustainable smart grids. Co-citation analysis results in AI and big data are becoming key in personalized experiences and highlight AI-driven sustainability strategies. The results of this study provide strong guidance for scholars and practitioners regarding the planning, design, and technical implementation of smart O&M in power systems.