This paper develops a computer model for the probabilistic representation of wind farms generation for reliability studies. The model can provide an annual estimation of energy production and calculate performance indices, which can be used on wind farms implantation feasibility analysis. The model combines the stochastic characteristics of wind velocity with the operational information of the turbines, such as the failure and repair rates, representing the wind farm by a Markov process. The simulations were made with real series of wind velocity of several Brazilian regions and the results reproduced successfully the behavior of the components considered in the model.
Power Systems Reliability; Wind Generation; Wind Farm Modeling
