Asignación de recursos distribuidos de una microred eléctrica destinada al autoconsumo de una clínica utilizando el algoritmo de colonia de hormigas

Abstract

The poor quality of energy remains a problem for industries and businesses in general. The constant voltage gaps not only disrupt continuous service for consumers but also pose a threat of damage to equipment. This has led to a need for alternative generation sources, supported by algorithms or systems that maximize resource utilization. In the context of a clinic, the electrical microgrid aims to optimize the distribution of resources, specifically generation, to enhance the reliability and efficiency of the electrical supply. The implementation of the ant colony algorithm involves simulating ant behaviors to find the best resource configuration. Virtual ants explore different resource allocation combinations, leaving pheromones that represent the quality of the solutions found. As ants discover more efficient solutions, pheromone levels increase, guiding other ants toward similar configurations. This iterative process continues until converging towards an optimal or suboptimal solution for resource allocation in the microgrid. The ant colony algorithm is employed to optimize resource allocation in an electrical microgrid of a clinic facing energy quality issues, aiming to improve efficiency and reliability of the electrical system by simulating ant-inspired behaviors. Proper implementation of this algorithm enables the user to transition from being just a consumer to a producer of energy, capable of meeting their needs and managing energy surplus.