Optimal Maintenance Schedule for a Wind Power Turbine with Aging Components
Artikel i vetenskaplig tidskrift, 2023

Wind power is one of the most important sources of renewable energy available today. A large part of the cost of wind energy is due to the cost of maintaining wind power equipment. When a wind turbine component fails to function, it might need to be replaced under circumstances that are less than ideal. This is known as corrective maintenance. To minimize unnecessary costs, a more active maintenance policy based on the life expectancy of the key components is preferred. Optimal scheduling of preventive maintenance activities requires advanced mathematical modeling. In this paper, an optimal preventive maintenance algorithm is designed using the renewal-reward theorem. In the multi-component setting, our approach involves a new idea of virtual maintenance that allows us to treat each replacement event as a renewal event even if some components are not replaced by new ones. The proposed optimization algorithm is applied to a four-component model of a wind turbine, and the optimal maintenance plans are computed for various initial conditions. The modeling results clearly show the benefit of PM planning compared to a pure CM strategy (about 30% lower maintenance cost).

combinatorial optimization

Weibull distribution

linear programming

renewal-reward theorem

preventive maintenance

algorithm design

wind turbine

virtual maintenance

Författare

Quanjiang Yu

Ericsson AB

Ola Carlson

Chalmers, Elektroteknik, Elkraftteknik

Serik Sagitov

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Göteborgs universitet

Algorithms

19994893 (eISSN)

Vol. 16 7 334

Drivkrafter

Hållbar utveckling

Ämneskategorier (SSIF 2011)

Beräkningsmatematik

Tillförlitlighets- och kvalitetsteknik

Annan elektroteknik och elektronik

Styrkeområden

Energi

DOI

10.3390/a16070334

Mer information

Senast uppdaterat

2025-02-10