In this paper we use risk management techniques to evaluate the potentialeffects of those operational risks that affect the energy production of a windfarm. We concentrate our attention on three major risk factors: wind speeduncertainty, wind turbine reliability and interactions of wind turbines duemainly to their placement. As a first contribution, we show that the Weibull distribution, commonly usedto fit recorded wind speed data, underestimates rare events. Therefore, inorder to achieve a better estimation of the tail of the wind speeddistribution, we advance a Generalized Pareto distribution. The wind turbinesreliability is considered by modeling the failures events as a compound Poissonprocess. Finally, the use of Copula able us to consider the correlation betweenwind turbines that compose the wind farm. Once this procedure is set up, weshow a sensitivity analysis and we also compare the results from the proposedprocedure with those obtained by ignoring the aforementioned risk factors.
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