A novel approach for modeling wind turbine generators for reliability analysis

This paper presents a novel algorithm to model wind turbine generators for reliability evaluation. The model is based on dividing the speed power curve into four states. The range of each state is determined based on the ratio between the output power and the rated power of the wind turbine generator. The mean time to fail and mean time to repair are calculated for each state. The state duration approach is integrated with Monte Carlo simulation method to estimate the expected values of mean time to fail and mean time to repair of the wind generator under study. A comparison between recorded output power of a wind turbine generator and the obtained one through the use of the proposed approach is presented. The satisfactory agreement between the two results justifies the excellence of the proposed mathematical model.