Reliability Measures of constant pitch constant speed Wind Turbine with Markov Analysis at High Uncertain Wind

摘要

In order to increase the life of a wind turbine (WT), it is important to estimate the reliability level for all WT components. In this paper, the concept of Markov analysis (MA) is used to model the failure characteristics of the major components for calculating the probability, availability and reliability of various system states of WTs with a capacity of 225 kW, 250 kW and 400 kW located at Muppandal main pass having high uncertainty in wind flow. Due to the uncertain wind flow, the probability of component failure is independent of the past history. MA yields surprising results about the overall power generation will be reduced due to the failure of rotor is up to 10.32%, gear box is up to 3.25% and generator is up to 3 %.