COMPARISON BETWEEN GENETIC ALGORITHM AND LINEAR PROGRAMMING FOR OPTIMIZING THE MAINTENANCE SCHEDULE OF POWER PLANTS IN THE SOUTH

Resumo

The planning of interventions is a process with significant impacts for the National Interconnected System (SIN). Thus, a schedule aligned with operational strategies and system needs contributes to the reliability of demand fulfillment. In this context, this article presents a model based on the Genetic Algorithm, with the purpose of optimizing maintenance schedule dates for power plants, considering signals related to load behavior, energy generation, and energy inflows to the South by the interconnection with the Southeast/Central-West subsystem. Applied to three groups of plants in the South, the model seeks to respect the minimum number of available machines established for each group. For implementation, the DEAP package was used, which allows modeling in Python language. The results showed potential to support schedule analysis, contributing with strategic solutions to minimize impacts on the SIN and meet requests, supporting the proper operation of the power plants.Keywords: schedule; optimization; maintenance; machines; South;