Integration of Artificial Intelligence in the Planning, Operation, and Protection of Electric Power Systems

This project addresses the increasing complexity of modern power systems (SEP), which require advanced techniques for management, planning, and protection. Given the integration of distributed generation, electric vehicles, and storage systems, classical methods face limitations in accuracy and stability. The research proposes hybridizing traditional algorithms with artificial intelligence to optimize energy dispatch, predict demand behavior, and improve fault detection. The methodological approach is multidisciplinary, combining historical, descriptive, inductive, and experimental research. Through modeling and simulation processes, the team evaluates contingency scenarios to ensure operational stability. The project aims not only to generate scientific knowledge publishable in indexed journals but also to strengthen the academic training of electrical engineering students through project-based learning. As a result, the project expects to develop a generic methodology for the planning and operation of SEP, contributing to the reduction of operational costs and the efficient use of renewable energy. This work directly impacts the technical capacity of the electrical sector and the educational quality of the institution.<br/><br/><b>Goal</b>: <br/>Define artificial intelligence techniques applicable to the study, operational planning, and protection of power systems. The project aims to establish methodologies to improve stability and operational efficiency in the face of contingencies.<br/><br/><b>Research lines</b>: <br/>Operation and control of electrical systems