A Stochastic DEVS Wind Turbine Model for Wind Farm Simulation
Eduardo Perez, Lewis Ntaimo, Eunshin Byon and Yu Ding
Symposium on Theory of Modeling and Simulation (DEVS'10) (DEVS 2010)
Orlando, ON, April 11-15 2010
A wind farm is comprised of several wind turbines that use wind to generate clean energy. Due to harsh weather conditions such as hourly and seasonal variations in wind speed and direction, wind turbines experience stochastic loading that can lead to their failure. Wind turbine failures result in costly repairs and loss in revenue, while stochastic loading makes it difficult to predict the actual condition of the wind turbine. Consequently, it is challenging to schedule maintenance actions to avoid wind turbine failures. In this paper, we consider a stochastic discrete event system specification (DEVS) model of a wind turbine with a focus on the stochastic deterioration of the gearbox. We use the wind turbine model within a DEVS wind farm simulation to study the impact of maintenance scheduling on the performance of a wind farm.
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