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Reliability analysis of wind power generation system based on Markov model
Published:2015-12-09 author:QIN Yang, MA Hui min, CHEN Yu jing Browse: 2731 Check PDF documents

 Reliability analysis of wind power generation system based on Markov model

 
 
QIN Yang, MA Hui min, CHEN Yu jing
 
(School of Electric Engineering, Shanghai Dianji University, Shanghai 200240, China)
 
 
Abstract: Aiming at the problems of reliability evaluation and operational maintenance for the wind power generation system, the operation principle and fault mechanism of the doubly fed induction wind turbines were studied, the main failure types of key components were summarized, the Markov repair model of directed network based on reliability theory for wind power generation system was proposed, the state transition diagram was establishedby using the relationship of the state transition, then the reliability of the system was analyzed by using Markov process method,the expressions of various transient and steady state index were given, with the help of matlab software to solve, on this basis, the relationship between component failure rate and repair rate changes on the availability of the system was discussed deeply. The results indicate that the stable availability of system can be decided by the failure rate and the repair rate, the repair rate contributes the most in the length of time the system needed to reaches a steady state the time, thus to provide the theory support for the establishment of the optimal maintenance strategy of wind turbine.
 
Key words: wind power generation system; Markov process; failure mechanism; reliability; maintenance strategy
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