Revenue-based maintenance scheduling for wind turbines
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Engineering mathematics and computational science (MPENM), MSc
Publicerad
2023
Författare
Jakobsson, Ludvig
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The ability to effectively schedule maintenance so that lost revenue is minimized
is an important aspect of wind turbine management, and a recent interest at the
company Rabbalshede Kraft AB. The aim of this thesis was to formulate short–
term maintenance scheduling models as integer linear optimization problems and
to implement these using open–source software. Two models were formulated for
the cases of in-house maintenance teams and hired external workers, respectively.
These models take a wind forecast and spot prices as input to form the revenue
forecast used in the optimization. Both models were implemented and the former
was thoroughly tested in hypothetical maintenance situations. The results showed
that a significant reduction in lost revenue is possible by solving for the optimal
schedule. Further, the wind speed forecast and turbine performance were analysed
with respect to the expected error in lost revenue.
Several methods of reducing run time of the optimization were studied. One of these,
the so-called Dantzig–Wolfe decomposition, was formulated explicitly for both models and implemented for the in–house model. The result from a run time analysis
showed that this method effectively reduces run time for a number of maintenance
scheduling cases and allowed for practical solution of complex problems with free
open–source software.
Beskrivning
Ämne/nyckelord
Wind energy, maintenance scheduling, integer optimization