Optimal preventive maintenance scheduling for wind turbines under condition monitoring

Abstract

We suggest a mathematical model for computing and regularly updating the next preventive maintenance plan for a wind farm. Our optimization criterium takes into account the current ages of the key components, the major maintenance costs including eventual energy production losses as well as the available data monitoring the condition of the wind turbines. We illustrate our approach with a case study based on data collected from several wind farms located in Sweden. Our results show that preventive maintenance planning gives some effect, if the wind turbine components in question live significantly shorter than the turbine itself.

Maximizing Wind Turbine Efficiency: Monte Carlo Simulation Based on Cost and Energy Loss Analysis for Optimal Preventive Maintenance

“…Their study examines the age replacement policy, block replacement policy, and the unique considerations associated with offshore wind turbines. Yu et al, (2021) propose a mathematical model that calculates and continuously updates the preventive maintenance plan for a wind farm, incorporating condition monitoring as a vital component. Gonzalo et al (2022) emphasize cost minimization and focus on the optimal maintenance management of offshore wind turbines.…”