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Exploring Technology Trends and Future Directions for Optimized Energy Management in Microgrids

Mario Eduardo González-NiñoEscuela de Ingeneniería Electromecánica, Facultad de Ingeniería, Universidad Pedagógica y Tecnológica de Colombia (UPTC), Seccional Duitama Carrera 18 con Calle 22, Duitama 150461, ColombiaOscar Humberto Sierra-HerreraGrupo de Investigacion I2E, Escuela de Ingeniería Electrónica, Facultad de Ingeniería, Universidad Pedagógica y Tecnológica de Colombia (UPTC), Avenida Central del Norte 39-115, Tunja 150003, ColombiaWilman Alonso Pineda-MuñozEscuela de Ingeneniería Electromecánica, Facultad de Ingeniería, Universidad Pedagógica y Tecnológica de Colombia (UPTC), Seccional Duitama Carrera 18 con Calle 22, Duitama 150461, ColombiaNicolás Muñóz-GaleanoResearch Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 56-108, Medellin 050010, ColombiaJesús M. López‐LezamaResearch Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 56-108, Medellin 050010, Colombia
2025en
ABI

Аннотация

Microgrids play a crucial role in optimizing renewable energy by integrating various sources to generate and store electricity. Effective resource management within microgrids is essential for improving efficiency and reducing operational costs. This study employs bibliometric analysis to explore key trends and emerging technologies in microgrid energy management. The analysis begins with a co-occurrence network to visualize relationships between key terms and their interconnected research areas, helping to identify thematic clusters. A trend topic analysis follows, highlighting the evolution of significant themes from 2010 to 2024. A dendrogram analysis further organizes subtopics hierarchically, while a word map analysis provides an overview of dominant themes and their practical applications. Thematic map analysis categorizes keywords into distinct clusters, offering a comprehensive understanding of technology trends and connections in the field. Key findings highlight four clusters: energy management systems, smart power grid optimization, battery management systems, and electric frequency control. These clusters underscore critical research gaps and innovative approaches in optimizing microgrid performance. By identifying future research directions, this study aims to contribute to the development of sustainable and efficient energy systems.

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