Multi-agent modeling and simulation of wind turbine behavior with failure propagation consideration

Simulation is an interesting technique to represent and predict the behavior of complex system such as wind turbines. In order to get accurate representation of the real turbines, the main factors influencing the operating state of the system must be
considered during the development of the model. Stochastic
dependencies between components are among the factors that play an important role in determining reliability and unexpected
failures of the system. The objective of our work is the
development of a multi-agent simulator using the Netlogo platform
that allows the representation of the behavior of a wind turbine
and different failure scenarios considering the impact of stochastic inter-components dependencies, weather conditions and system configuration. A comparison between the reliability parameters is performed in both conditions (dependent and independent components). The results obtained show the usefulness of considering the existence of stochastic dependencies when predicting and optimizing the reliability and availability of wind turbines.