Optimization of Maintenance Scheduling for Wind Farms Using Genetic Algorithm

Résumé fourni par la source

Wind energy has become a cornerstone of renewable power generation, yet its long-term sustainability strongly depends on efficient maintenance strategies. Conventional periodic maintenance often results in excessive interventions or unexpected failures, both of which reduce system availability and increase costs. This paper proposes an optimization framework for wind farm maintenance scheduling based on a Genetic Algorithm (GA). The model minimizes the overall maintenance cost by jointly considering repair operations and downtime losses under reliability constraints. A simulation study of a 10-turbine wind farm over a 12-month horizon shows that the GA-based approach reduces total cost by nearly 30% compared with fixed-interval strategies. These results underline the potential of heuristic optimization in improving both the economic and operational performance of wind energy systems.