The accelerated growth of scientific publications in renowned databases such as Scopus (Elsevier) and Web of Science (Clarivate) has made the identification of unresolved research problems increasingly complex. This challenge is exacerbated by the vast amount of information that must be analyzed, highlighting the imminent need for the application of big data techniques to extract relevant information for researchers, stakeholders in innovation and development, and regulatory policymakers. To address this challenge, this article presents an innovative, structured, and systematic methodology for conducting bibliometric analyses of scientific publications. The proposed approach is designed for researchers who only have an initial research idea, a broad problem context, or a general study area and require methodological tools to precisely define their research problem. The methodology follows a recommended flowchart-guided process, leveraging open-source tools such as Bibliometrix (R), spreadsheets, and text processing techniques to conduct a comprehensive bibliometric study. This enables the analysis of the intellectual, conceptual, and social structures of a research field, facilitating the identification of research gaps and emerging trends. As a practical application, the proposed methodology was implemented for the 2004–2024 period, within the framework of an applied research project in engineering. This case study aimed to answer key research questions formulated during the study design phase, demonstrating the effectiveness of the approach in systematically analyzing scientific production. Beyond the energy sector and energy systems, this methodology has proven to be adaptable to diverse disciplines, such as health sciences, industrial management, construction, and urban development, provided that relevant databases are accessible. Through this structured approach, researchers can better define their research problems and identify future challenges in various areas of knowledge.

In the present article, the impacts that arise in electrical grids due to the integration of distributed energy resources (DER) are identified and analyzed, aiming to provide a basis from which the effects of these new technologies can be considered. To conduct this research, information was collected and analyzed, which was classified according to each of the impacts evidenced in the literature, such as technical, economic, social, environmental, sectoral, and political. Considering the classification of impacts by category, the corresponding advantages and disadvantages were highlighted, and based on this, a qualitative evaluation of the information found was conducted along with respective analyses. Thus, based on the development of this article, it can be concluded that DER influences many aspects, and according to the qualitative evaluation, clarity is provided regarding the contribution of each impact within electrical grids. It was found that, out of 100% of the impacts identified, those with the highest percentage of contribution are the technical impacts.

This article assesses the impact on the Power Quality produced by the interconnection of a microgrid to a transmission system, real-time simulation have been used to carry out the study, applying national and international power quality standards, IEEE 1547 of 2018, IEEE 519 of 2014 and NTC 5001 of 2008. The phenomena of voltage harmonics, current harmonics, flicker and DC injection were evaluated on a microgrid case study. The results show that the interconnection of the microgrid produces a high impact on the current harmonics and the DC injection of the local transmission system, while the flicker phenomena and voltage harmonics have a smaller impact.

In a modern and technological world that has a great demand for energy, a versatile energy market, and a renewed electric infrastructure capable of expanding the electric power system under the premise of universal access to electricity, that seeks to minimize the effects of climate change, and that requires an improvement in its reliability, security, and resilience, microgrids are born as one of the systems that have the potential to supply each of these requirements in order to guarantee an adequate decarbonization, decentralization, digitalization, diversification, and democratization of the future grid. However, the integration of microgrids into the electric power system will generate impacts that are currently under study. This paper identifies and analyzes the technical impacts in the electric power system due to the implementation of microgrids, based on what has been recognized in the literature, so that those who have purposes of installation, creation, innovation, and research of microgrids, such as grid operators, technology providers, companies, and researchers, can establish criteria and indicators through which the feasibility of projects involving microgrids can be determined. The concept, importance, and characteristics of microgrids are given, along with a technical justification of the impacts. In addition, technical impacts on some study cases of real microgrids around the globe are identified. Finally, an analysis of the identified technical impacts is offered, and conclusions are drawn.

Este estudio tiene como objetivo mostrar el panorama actual de la operación de las redes eléctricas con la influencia de la inteligencia artificial (IA), la cual a través de sus técnicas y algoritmos que la respaldan, ha venido dando aportes significativos. Se abarco una amplia literatura, logrando mostrar la perspectiva de sus bondades, y su aporte de forma general, destacando sus diferentes usos y contribuciones para el cumplimiento en la operación de las redes eléctricas. El estudio muestra características y usos de la IA en la operación del sistema de distribución eléctrica. Asocia las técnicas que más se han destacado para contribuir en la operación de las redes de distribución eléctrica, generando valor de grandes cantidades de datos. Se destacan los procesos necesarios para la implementación de la IA en las redes eléctricas comprendiendo elementos físicos, humanos y virtuales. Las ventajas que proyecta la IA abarcan la eficiencia, comodidad y confiabilidad; entre sus desventajas se identificaron la falta de: hardware, software, política regulatoria, seguridad, escasa actualización de tecnologías y capacitación humana. Se encontró que la IA en las redes eléctricas requiere de la digitalización para poder habilitar todos sus beneficios y generando una mayor resiliencia en estas. Finalmente, se concluyó que la IA es una herramienta clave para la operación presente y futura de las redes eléctricas, donde se recomienda la incorporación de tecnologías, hardware, software, políticas regulatorias y capacitación humana, para dar el paso hacia un progreso óptimo y descentralizado.