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Cost Based Importance Measures for Reliability Analysis of Wind Turbine System

There is an increase in the power generation from wind sector and hence it requires a reliable operation. An unscheduled outage and loss of generation occurs by the component failures of a wind turbine system. It has become a challenging task to improve the reliability of a wind turbine system. With the knowledge of Component importance measures component's priority in terms of reliability, availability, maintenance and risk is ascertained. There exists literature on number of importance measures. The most commonly used being Birnbaum measure, Fussell Vesely, Improvement potential, risk achievement worth, risk reduction worth etc. However a little attention has been paid on cost based importance measures considering the cost incurred by system maintenance, reliability improvement within a given period of time. Improvement in components is cost dependent. The importance measures of components of a system are likely to vary for different performance indices under cost consideration. In this paper improvement potential importance measure has been modified for reliability analysis of wind turbine system under cost consideration. It prioritizes the system components based on risk, criticality and maintenance. The criticality ranking of the components of the wind turbine system obtained from the proposed importance measure is practical and more realistic. The proposed new cost based improvement potential importance measure gives different prioritization to components as compared to improvement potential without cost (proposed earlier by us).