Optimal preventive maintenance scheduling for wind turbines under condition monitoring
Preprint, 2021
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.
Wind turbine
Linear programming
Preventive maintenance
Weibull survival function
Cox proportional hazards
Author
Quanjiang Yu
University of Gothenburg
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Pramod Bangalore
Chalmers, Computer Science and Engineering (Chalmers)
Sara Fogelström
Chalmers, Electrical Engineering, Electric Power Engineering
Serik Sagitov
University of Gothenburg
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Site-Adaptive Analysis Methods to Predict and Enhance Lifetime of Wind Turbines
Swedish Wind Power Technology Center (SWPTC), 2019-07-01 -- 2022-12-31.
Driving Forces
Sustainable development
Subject Categories
Computational Mathematics
Reliability and Maintenance
Areas of Advance
Energy